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Welcome

Welcome

Welcome to the Talos documentation. If you are just getting familiar with Talos, we recommend starting here:

  • What is Talos: a quick description of Talos
  • Quickstart: the fastest way to get a Talos cluster up and running
  • Getting Started: a long-form, guided tour of getting a full Talos cluster deployed

Open Source

Community

If you’re interested in this project and would like to help in engineering efforts, or have general usage questions, we are happy to have you! We hold a weekly meeting that all audiences are welcome to attend.

We would appreciate your feedback so that we can make Talos even better! To do so, you can take our survey.

Office Hours

  • When: Second Monday of every month at 16:30 UTC.
  • Where: Google Meet.

You can subscribe to this meeting by joining the community forum above.

Note: You can convert the meeting hours to your local time.

Enterprise

If you are using Talos in a production setting, and need consulting services to get started or to integrate Talos into your existing environment, we can help. Sidero Labs, Inc. offers support contracts with SLA (Service Level Agreement)-bound terms for mission-critical environments.

Learn More

1 - Introduction

1.1 - What is Talos?

A quick introduction in to what Talos is and why it should be used.

Talos is a container optimized Linux distro; a reimagining of Linux for distributed systems such as Kubernetes. Designed to be as minimal as possible while still maintaining practicality. For these reasons, Talos has a number of features unique to it:

  • it is immutable
  • it is atomic
  • it is ephemeral
  • it is minimal
  • it is secure by default
  • it is managed via a single declarative configuration file and gRPC API

Talos can be deployed on container, cloud, virtualized, and bare metal platforms.

Why Talos

In having less, Talos offers more. Security. Efficiency. Resiliency. Consistency.

All of these areas are improved simply by having less.

1.2 - Quickstart

A short guide on setting up a simple Talos Linux cluster locally with Docker.

Local Docker Cluster

The easiest way to try Talos is by using the CLI (talosctl) to create a cluster on a machine with docker installed.

Prerequisites

talosctl

Download talosctl:

amd64
curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl
arm64

For linux and darwin operating systems talosctl is also available for the arm64 processor architecture.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-arm64
chmod +x /usr/local/bin/talosctl

kubectl

Download kubectl via one of methods outlined in the documentation.

Create the Cluster

Now run the following:

talosctl cluster create

Verify that you can reach Kubernetes:

$ kubectl get nodes -o wide
NAME                     STATUS   ROLES    AGE    VERSION   INTERNAL-IP   EXTERNAL-IP   OS-IMAGE         KERNEL-VERSION   CONTAINER-RUNTIME
talos-default-controlplane-1   Ready    master   115s   v1.25.5   10.5.0.2      <none>        Talos (v1.2.8)   <host kernel>    containerd://1.5.5
talos-default-worker-1   Ready    <none>   115s   v1.25.5   10.5.0.3      <none>        Talos (v1.2.8)   <host kernel>    containerd://1.5.5

Destroy the Cluster

When you are all done, remove the cluster:

talosctl cluster destroy

1.3 - Getting Started

A guide to setting up a Talos Linux cluster on multiple machines.

This document will walk you through installing a full Talos Cluster. If this is your first use of Talos Linux, we recommend the Quickstart first, to quickly create a local virtual cluster on your workstation.

Regardless of where you run Talos, in general you need to:

  • acquire the installation image
  • decide on the endpoint for Kubernetes
    • optionally create a load balancer
  • configure Talos
  • configure talosctl
  • bootstrap Kubernetes

Prerequisites

talosctl

talosctl is a CLI tool which interfaces with the Talos API in an easy manner.

Install talosctl before continuing:

amd64

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

arm64

For linux and darwin operating systems talosctl is also available for the arm64 architecture.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-arm64
chmod +x /usr/local/bin/talosctl

Acquire the installation image

The most general way to install Talos is to use the ISO image (note there are easier methods for some platforms, such as pre-built AMIs for AWS - check the specific Installation Guides.)

The latest ISO image can be found on the Github Releases page:

When booted from the ISO, Talos will run in RAM, and will not install itself until it is provided a configuration. Thus, it is safe to boot the ISO onto any machine.

Alternative Booting

For network booting and self-built media, you can use the published kernel and initramfs images:

Note that to use alternate booting, there are a number of required kernel parameters. Please see the kernel docs for more information.

Decide the Kubernetes Endpoint

In order to configure Kubernetes, Talos needs to know what the endpoint (DNS name or IP address) of the Kubernetes API Server will be.

The endpoint should be the fully-qualified HTTP(S) URL for the Kubernetes API Server, which (by default) runs on port 6443 using HTTPS.

Thus, the format of the endpoint may be something like:

  • https://192.168.0.10:6443
  • https://kube.mycluster.mydomain.com:6443
  • https://[2001:db8:1234::80]:6443

The Kubernetes API Server endpoint, in order to be highly available, should be configured in a way that functions off all available control plane nodes. There are three common ways to do this:

Dedicated Load-balancer

If you are using a cloud provider or have your own load-balancer (such as HAProxy, nginx reverse proxy, or an F5 load-balancer), using a dedicated load balancer is a natural choice. Create an appropriate frontend matching the endpoint, and point the backends at the addresses of each of the Talos control plane nodes. (Note that given we have not yet created the control plane nodes, the IP addresses of the backends may not be known yet. We can bind the backends to the frontend at a later point.)

Layer 2 Shared IP

Talos has integrated support for serving Kubernetes from a shared/virtual IP address. This method relies on Layer 2 connectivity between control plane Talos nodes.

In this case, we choose an unused IP address on the same subnet as the Talos control plane nodes. For instance, if your control plane node IPs are:

  • 192.168.0.10
  • 192.168.0.11
  • 192.168.0.12

you could choose the ip 192.168.0.15 as your shared IP address. (Make sure that 192.168.0.15 is not used by any other machine and that your DHCP server will not serve it to any other machine.)

Once chosen, form the full HTTPS URL from this IP:

https://192.168.0.15:6443

If you create a DNS record for this IP, note you will need to use the IP address itself, not the DNS name, to configure the shared IP (machine.network.interfaces[].vip.ip) in the Talos configuration.

For more information about using a shared IP, see the related Guide

DNS records

If neither of the other methods work for you, you can use DNS records to provide a measure of redundancy. In this case, you would add multiple A or AAAA records (one for each control plane node) to a DNS name.

For instance, you could add:

kube.cluster1.mydomain.com  IN  A  192.168.0.10
kube.cluster1.mydomain.com  IN  A  192.168.0.11
kube.cluster1.mydomain.com  IN  A  192.168.0.12

Then, your endpoint would be:

https://kube.cluster1.mydomain.com:6443

Decide how to access the Talos API

Many administrative tasks are performed by calling the Talos API on Talos Linux control plane nodes.

We recommend accessing the control plane nodes directly from the talosctl client, if possible (i.e. set your endpoints to the IP addresses of the control plane nodes). This requires your control plane nodes to be reachable from the client IP.

If the control plane nodes are not directly reachable from the workstation where you run talosctl, then configure a load balancer for TCP port 50000 to be forwarded to the control plane nodes. Do not use Talos Linux’s built in VIP support for accessing the Talos API, as it will not function in the event of an etcd failure, and you will not be able to access the Talos API to fix things.

If you create a load balancer to forward the Talos API calls, make a note of the IP or hostname so that you can configure your talosctl tool’s endpoints below.

Configure Talos

When Talos boots without a configuration, such as when using the Talos ISO, it enters a limited maintenance mode and waits for a configuration to be provided.

In other installation methods, a configuration can be passed in on boot. For example, Talos can be booted with the talos.config kernel commandline argument set to an HTTP(s) URL from which it should receive its configuration. Where a PXE server is available, this is much more efficient than manually configuring each node. If you do use this method, note that Talos requires a number of other kernel commandline parameters. See required kernel parameters. If creating EC2 kubernetes clusters, the configuration file can be passed in as --user-data to the aws ec2 run-instances command.

In any case, we need to generate the configuration which is to be provided:

  talosctl gen config cluster-name cluster-endpoint

Here, cluster-name is an arbitrary name for the cluster, used in your local client configuration as a label. It should be unique in the configuration on your local workstation.

The cluster-endpoint is the Kubernetes Endpoint you selected from above. This is the Kubernetes API URL, and it should be a complete URL, with https:// and port. (The default port is 6443, but you may have configured your load balancer to forward a different port.) For example:

 talosctl gen config my-cluster https://192.168.64.15:6443
generating PKI and tokens
created /Users/taloswork/controlplane.yaml
created /Users/taloswork/worker.yaml
created /Users/taloswork/talosconfig

When you run this command, a number of files are created in your current directory:

  • controlplane.yaml
  • worker.yaml
  • talosconfig

The .yaml files are Machine Configs. They provide Talos Linux servers their complete configuration, describing everything from what disk Talos should be installed on, to network settings. The controlplane.yaml file describes how Talos should form a Kubernetes cluster.

The talosconfig file (which is also YAML) is your local client configuration file.

Controlplane and Worker

The two types of Machine Configs correspond to the two roles of Talos nodes, control plane (which run both the Talos and Kubernetes control planes) and worker nodes (which run the workloads).

The main difference between Controlplane Machine Config files and Worker Machine Config files is that the former contains information about how to form the Kubernetes cluster.

Modifying the Machine configs

The generated Machine Configs have defaults that work for many cases. They use DHCP for interface configuration, and install to /dev/sda. If the defaults work for your installation, you may use them as is.

Sometimes, you will need to modify the generated files so they work with your systems. A common example is needing to change the default installation disk. If you try to to apply the machine config to a node, and get an error like the below, you need to specify a different installation disk:

talosctl apply-config --insecure -n 192.168.64.8 --file controlplane.yaml
error applying new configuration: rpc error: code = InvalidArgument desc = configuration validation failed: 1 error occurred:
    * specified install disk does not exist: "/dev/sda"

You can verify which disks your nodes have by using the talosctl disks --insecure command.

Insecure mode is needed at this point as the PKI infrastructure has not yet been set up.

For example:

talosctl -n 192.168.64.8 disks --insecure
DEV        MODEL   SERIAL   TYPE   UUID   WWID   MODALIAS                    NAME   SIZE    BUS_PATH
/dev/vda   -       -        HDD    -      -      virtio:d00000002v00001AF4   -      69 GB   /pci0000:00/0000:00:06.0/virtio2/

In this case, you would modiy the controlplane.yaml and worker.yaml and edit the line:

install:
  disk: /dev/sda # The disk used for installations.

to reflect vda instead of sda.

Machine Configs as Templates

Individual machines may need different settings: for instance, each may have a different static IP address.

When different files are needed for machines of the same type, simply copy the source template (controlplane.yaml or worker.yaml) and make whatever modifications are needed.

For instance, if you had three control plane nodes and three worker nodes, you may do something like this:

for i in $(seq 0 2); do
  cp controlplane.yaml cp$i.yaml
end
for i in $(seq 0 2); do
  cp worker.yaml w$i.yaml
end

Then modify each file as needed.

Apply Configuration

To apply the Machine Configs, you need to know the machines’ IP addresses.

Talos will print out the IP addresses of the machines on the console during the boot process:

[4.605369] [talos] task loadConfig (1/1): this machine is reachable at:
[4.607358] [talos] task loadConfig (1/1):   192.168.0.2
[4.608766] [talos] task loadConfig (1/1): server certificate fingerprint:
[4.611106] [talos] task loadConfig (1/1):   xA9a1t2dMxB0NJ0qH1pDzilWbA3+DK/DjVbFaJBYheE=
[4.613822] [talos] task loadConfig (1/1):
[4.614985] [talos] task loadConfig (1/1): upload configuration using talosctl:
[4.616978] [talos] task loadConfig (1/1):   talosctl apply-config --insecure --nodes 192.168.0.2 --file <config.yaml>
[4.620168] [talos] task loadConfig (1/1): or apply configuration using talosctl interactive installer:
[4.623046] [talos] task loadConfig (1/1):   talosctl apply-config --insecure --nodes 192.168.0.2 --mode=interactive
[4.626365] [talos] task loadConfig (1/1): optionally with node fingerprint check:
[4.628692] [talos] task loadConfig (1/1):   talosctl apply-config --insecure --nodes 192.168.0.2 --cert-fingerprint 'xA9a1t2dMxB0NJ0qH1pDzilWbA3+DK/DjVbFaJBYheE=' --file <config.yaml>

If you do not have console access, the IP address may also be discoverable from your DHCP server.

Once you have the IP address, you can then apply the correct configuration.

  talosctl apply-config --insecure \
    --nodes 192.168.0.2 \
    --file controlplane.yaml

The insecure flag is necessary because the PKI infrastructure has not yet been made available to the node. Note: the connection will be encrypted, it is just unauthenticated. If you have console access you can extract the server certificate fingerprint and use it for an additional layer of validation:

  talosctl apply-config --insecure \
    --nodes 192.168.0.2 \
    --cert-fingerprint xA9a1t2dMxB0NJ0qH1pDzilWbA3+DK/DjVbFaJBYheE= \
    --file cp0.yaml

Using the fingerprint allows you to be sure you are sending the configuration to the correct machine, but it is completely optional. After the configuration is applied to a node, it will reboot. Repeat this process for each of the nodes in your cluster.

Understand talosctl, endpoints and nodes

It is important to understand the concept of endpoints and nodes. In short: endpoints are the nodes that talosctl sends commands to, but nodes are the nodes that the command operates on. The endpoint will forward the command to the nodes, if needed.

Endpoints

Endpoints are the IP addresses to which the talosctl client directly talks. These should be the set of control plane nodes, either directly or through a load balancer.

Each endpoint will automatically proxy requests destined to another node in the cluster. This means that you only need access to the control plane nodes in order to access the rest of the network.

talosctl will automatically load balance requests and fail over between all of your endpoints.

You can pass in --endpoints <IP Address1>,<IP Address2> as a comma separated list of IP/DNS addresses to the current talosctl command. You can also set the endpoints in your talosconfig, by calling talosctl config endpoint <IP Address1> <IP Address2>. Note: these are space separated, not comma separated.

As an example, if the IP addresses of our control plane nodes are:

  • 192.168.0.2
  • 192.168.0.3
  • 192.168.0.4

We would set those in the talosconfig with:

  talosctl --talosconfig=./talosconfig \
    config endpoint 192.168.0.2 192.168.0.3 192.168.0.4

Nodes

The node is the target you wish to perform the API call on.

When specifying nodes, their IPs and/or hostnames are as seen by the endpoint servers, not as from the client. This is because all connections are proxied through the endpoints.

You may provide -n or --nodes to any talosctl command to supply the node or (comma-separated) nodes on which you wish to perform the operation.

For example, to see the containers running on node 192.168.0.200:

talosctl -n 192.168.0.200 containers

To see the etcd logs on both nodes 192.168.0.10 and 192.168.0.11:

talosctl -n 192.168.0.10,192.168.0.11 logs etcd

It is possible to set a default set of nodes in the talosconfig file, but our recommendation is to explicitly pass in the node or nodes to be operated on with each talosctl command. For a more in-depth discussion of Endpoints and Nodes, please see talosctl.

Default configuration file

You can reference which configuration file to use directly with the --talosconfig parameter:

  talosctl --talosconfig=./talosconfig \
    --nodes 192.168.0.2 version

However, talosctl comes with tooling to help you integrate and merge this configuration into the default talosctl configuration file. This is done with the merge option.

  talosctl config merge ./talosconfig

This will merge your new talosconfig into the default configuration file ($XDG_CONFIG_HOME/talos/config.yaml), creating it if necessary. Like Kubernetes, the talosconfig configuration files has multiple “contexts” which correspond to multiple clusters. The <cluster-name> you chose above will be used as the context name.

Kubernetes Bootstrap

Bootstrapping your Kubernetes cluster with Talos is as simple as:

  talosctl bootstrap --nodes 192.168.0.2

The bootstrap operation should only be called ONCE and only on a SINGLE control plane node!

The IP can be any of your control planes (or the loadbalancer, if used for the Talos API endpoint).

At this point, Talos will form an etcd cluster, generate all of the core Kubernetes assets, and start the Kubernetes control plane components.

After a few moments, you will be able to download your Kubernetes client configuration and get started:

  talosctl kubeconfig

Running this command will add (merge) you new cluster into your local Kubernetes configuration.

If you would prefer the configuration to not be merged into your default Kubernetes configuration file, pass in a filename:

  talosctl kubeconfig alternative-kubeconfig

You should now be able to connect to Kubernetes and see your nodes:

  kubectl get nodes

And use talosctl to explore your cluster:

  talosctl -n <NODEIP> dashboard

For a list of all the commands and operations that talosctl provides, see the CLI reference.

1.4 - Theila UI for Talos

An intro to Theila - a UI for Talos clusters.

Once you have a Talos cluster running, you may find it easier to get insights on your cluster(s) using a visual user interface rather than the talosctl CLI. For this, Sidero Labs provides Theila, a simple, single-binary web-based visual user interface for Talos clusters.

Prerequisites

You should have a Talos cluster up & running, and the talosconfig file for Theila to access it.

Installation

Theila is published as a single static binary compiled for various platforms and architectures, as well as a container image.

Binary

You can download the correct binary for your system from the releases page, or use the following commands in your terminal.

curl -Lo /usr/local/bin/theila https://github.com/siderolabs/theila/releases/download/v0.2.1/theila-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/theila

Use

Once installed, you can run Theila by simply running it.

# address and port are not required and default to the values shown
theila --address 127.0.0.1 --port 8080
docker run --rm --volume ${HOME}/.talos/config:/opt/talosconfig:ro --env TALOSCONFIG=/opt/talosconfig --publish 8080:8080 ghcr.io/siderolabs/theila --address 0.0.0.0

Once it is running you should be able to point a browser at http://localhost:8080 to open the Theila UI.

Clusters

You can navigate around various Talos clusters using the menu at the upper-left corner (see 1.1), then selecting the specific cluster from the list (see 1.2). Fig 1 Talos cluster selection with Theila

Cluster Overview

Clicking on the “Overview” option in the menu (see 2.1) will display an overview of resource use & health of the cluster. Fig 2 Talos cluster overview

Nodes

Entering the “Nodes” section on the menu (see 3.1) will give a list of nodes in the cluster (see 3.2), along with information such as IP address, status, and any roles assigned to the node. Opening the node menu (see 3.3) show the actions that can be taken on a specific node. Fig 3 Node list

Clicking on a specific node name in the node list will open the node detail page for more information on each specific node (see 4.1), including running services and their logs (see 4.2). Fig 4 Node detail

Clicking on the “Monitor” tab (see 5.1) allows you to watch resource use over time, with CPU and memory consumption graphs updated in real time, and a detailed list of running process each with their individual resource use (see 5.2). Fig 5 Node monitoring

Lastly, the “Dmesg” tab shows all kernel messages of the node since boot.

Pods

Using the “Pods” section on the menu (see 6.1) will list all pods in the cluster, across all namespaces. Clicking on the drop-down arrow (see 6.2) will open up more detailed information of the specified pod. Fig 6 Pods

1.5 - System Requirements

Hardware requirements for running Talos Linux.

Minimum Requirements

RoleMemoryCores
Control Plane2GB2
Worker1GB1
RoleMemoryCores
Control Plane4GB4
Worker2GB2

These requirements are similar to that of kubernetes.

1.6 - What's New in Talos 1.2

List of new and shiny features in Talos Linux.

See also upgrade notes for important changes.

Component Updates

  • Linux: 5.15.64
  • Flannel 0.19.1
  • containerd 1.6.8
  • runc: v1.1.4
  • Kubernetes: v1.25.0

Talos is built with Go 1.19.

Kubernetes

Control Plane Labels and Taints

Talos now defaults to node-role.kubernetes.io/control-plane label/taint.

On upgrades Talos now removes the node-role.kubernetes.io/master label/taint on control-plane nodes and replaces it with the node-role.kubernetes.io/control-plane label/taint. Workloads that tolerate the old taints or have node selectors with the old labels will need to be updated.

Previously Talos labeled control plane nodes with both control-plane and master labels and tainted the node with master taint.

Scheduling on Control Plane Nodes

Machine configuration .cluster.allowSchedulingOnMasters is deprecated and replaced by .cluster.allowSchedulingOnControlPlanes. The .cluster.allowSchedulingOnMasters will be removed in a future release of Talos. If both .cluster.allowSchedulingOnMasters and .cluster.allowSchedulingOnControlPlanes are set to true, the .cluster.allowSchedulingOnControlPlanes will be used.

Control Plane Components

Talos now run all Kubernetes Control Plane Components with the CRI default Seccomp Profile and other recommendations as described in KEP-2568.

k8s.gcr.io Registry

Talos now defaults to adding a registry mirror configuration in the machine configuration for k8s.gcr.io pointing to both registry.k8s.io and k8s.gcr.io unless overridden.

This is in line with the Kubernetes 1.25 release having the new registry.k8s.io registry endpoint.

This is only enabled by default on newly generated configurations and not on upgrades. This can be enabled with a machine configuration as follows:

machine:
  registries:
    mirrors:
      k8s.gcr.io:
        endpoints:
          - https://registry.k8s.io
          - https://k8s.gcr.io

seccomp Profiles

Talos now supports creating custom seccomp profiles on the host machine which in turn can be used by Kubernetes workloads. It can be configured in the machine config as below:

machine:
  seccompProfiles:
    - name: audit.json
      value:
        defaultAction: SCMP_ACT_LOG
    - name: deny.json
      value: {"defaultAction":"SCMP_ACT_LOG"}

This profile data can be either configured as a YAML definition or as a JSON string.

The profiles are created on the host under /var/lib/kubelet/seccomp/profiles.

Default seccomp Profile

Talos now runs Kubelet with the CRI default Seccomp Profile enabled. This can be disabled by setting .machine.kubelet.defaultRuntimeSeccompProfileEnabled to false.

This feature is not enabled automatically on upgrades, so upgrading to Talos v1.2 needs this to be explicitly enabled.

See documentation for more details.

Machine Configuration

Strategic Merge Patching

In addition to JSON (RFC6902) patches Talos now supports strategic merge patching.

For example, machine hostname can be set with the following patch:

machine:
  network:
    hostname: worker1

Patch format is detected automatically.

talosctl apply-config

talosctl apply-config now supports patching the machine config file in memory before submitting it to the node.

Networking

Bridge Support

Talos now supports configuration of Linux bridge interfaces:

machine:
  network:
    interfaces:
      - interface: br0
        bridge:
          stp:
            enabled: true
          interfaces:
            - eth0
            - eth1

See configuration reference for more details.

VLANs

Talos now supports dracut-style vlan kernel argument to allow installing Talos Linux in networks where ports are not tagged with a default VLAN:

vlan=eth1.5:eth1 ip=172.20.0.2::172.20.0.1:255.255.255.0::eth1.5:::::

Machine configuration now supports specifying DHCP options for VLANs.

Stable Default Hostname

Talos now generates the default hostname (when there is no explicitly specified hostname) for the nodes based on the node id (e.g. talos-2gd-76y) instead of using the DHCP assigned IP address (e.g. talos-172-20-0-2).

This ensures that the node hostname is not changed when DHCP assigns a new IP to a node.

Note: the stable hostname generation algorithm changed between v1.2.0-beta.0 and v1.2.0-beta.1, please take care when upgrading from versions >= 1.2.0-alpha.1 to versions >= 1.2.0-beta.1 when using stable default hostname feature.

Packet Capture

Talos now supports capturing packets on a network interface with talosctl pcap command:

talosctl pcap --interface eth0

Cluster Discovery and KubeSpan

KubeSpan Kubernetes Network Advertisement

KubeSpan no longer by default advertises Kubernetes pod networks of the node over KubeSpan. This means that CNI should handle encapsulation of pod-to-pod traffic into the node-to-node tunnel, and node-to-node traffic will be handled by KubeSpan. This provides better compatibility with popular CNIs like Calico and Cilium.

Old behavior can be restored by setting .machine.kubespan.advertiseKubernetesNetworks = true in the machine config.

Kubernetes Discovery Backend

Kubernetes cluster discovery backend is now disabled by default for new clusters. This backend doesn’t provide any benefits over the Discovery Service based backend, while it causes issues for KubeSpan enabled clusters when control plane endpoint is KubeSpan-routed.

For air-gapped installations when the Discovery Service is not enabled, Kubernetes Discovery Backend can be enabled by applying the following machine configuration patch:

cluster:
  discovery:
    registries:
      kubernetes:
        disabled: false

etcd

Advertised and Listen Subnets

Machine configuration setting cluster.etcd.subnet is deprecated, but still supported.

Two new configuration settings are introduced to control precisely which subnet is used for etcd peer communication:

cluster:
  etcd:
    advertisedSubnets:
       - 10.0.0.0/24
    listenSubnets:
       - 10.0.0.0/24
       - 192.168.0.0/24

The advertisedSubnets setting is used to control which subnet is used for etcd peer communication, it will be advertised by each peer for other peers to connect to. If advertiseSubnets is set, listenSubnets defaults to the same value, so that etcd only listens on the same subnet as it advertises. Additional subnets can be configured in listenSubnets if needed.

Default behavior hasn’t changed - if the advertisedSubnets is not set, Talos picks up the first available network address as an advertised address and etcd is configured to listen on all interfaces.

Note: most of the etcd configuration changes are accepted on the fly, but they are fully applied only after a reboot.

CLI

Tracking Progress of API Calls

talosctl subcommands shutdown, reboot, reset and upgrade now have a new flag --wait to wait until the operation is completed, displaying information on the current status of each node.

A new --debug flag is added to these commands to get the kernel logs output from these nodes if the operation fails.

track-cli-action-progress

Generating Machine Config from Secrets

It is now possible to pre-generate secret material for the cluster with talosctl gen secrets:

talosctl gen secrets -o cluster1-secrets.yaml

Secrets file should be stored in a safe place, and machine configuration for the node in the cluster can be generated on demand with talosctl gen config:

talosctl gen config --with-secrets cluster1-secrets.yaml cluster1 https://cluster1.example.com:6443/

This way configuration can be generated on demand, for example with configuration patches. Nodes with machine configuration generated from the same secrets file can join each other to form a cluster.

Integrations

Talos API access from Kubernetes

Talos now supports access to its API from within Kubernetes.

It can be configured in the machine config as below:

machine:
  features:
    kubernetesTalosAPIAccess:
      enabled: true
      allowedRoles:
        - os:reader
      allowedKubernetesNamespaces:
        - kube-system

This feature introduces a new custom resource definition, serviceaccounts.talos.dev. Creating custom resources of this type will provide credentials to access Talos API from within Kubernetes.

The new CLI subcommand talosctl inject serviceaccount can be used to configure Kubernetes manifests with Talos service accounts as below:

talosctl inject serviceaccount -f manifests.yaml > manifests-injected.yaml
kubectl apply -f manifests-injected.yaml

See documentation for more details.

Migration

Migrating from kubeadm

talosctl gen command supports generating a secrets bundle from a Kubernetes PKI directory (e.g. /etc/kubernetes/pki).

This secrets bundle can then be used to generate a machine config.

This facilitates migrating clusters (e.g. created using kubeadm) to Talos.

talosctl gen secrets --kubernetes-bootstrap-token znzio1.1ifu15frz7jd59pv --from-kubernetes-pki /etc/kubernetes/pki
talosctl gen config --with-secrets secrets.yaml my-cluster https://172.20.0.1:6443

Platform Updates

Metal

The kernel parameter talos.config can now substitute system information into placeholders inside its URL query values.

This example shows all supported variables:

http://example.com/metadata?h=${hostname}&m=${mac}&s=${serial}&u=${uuid}

Extensions

NVIDIA GPU support promoted to beta

NVIDIA GPU support on Talos has been promoted to beta and SideroLabs now publishes the NVIDIA Open GPU Kernel Modules as a system extension making it easier to run GPU workloads on Talos. Refer to enabling NVIDIA GPU support docs here:

Deprecations

--masters flag on talosctl cluster create is deprecated. Use --controlplanes instead.

Machine configuration .cluster.allowSchedulingOnMasters is deprecated and replaced by .cluster.allowSchedulingOnControlPlanes.

1.7 - Support Matrix

Table of supported Talos Linux versions and respective platforms.
Talos Version1.21.1
Release Date2022-09-012022-06-22 (1.1.0)
End of Community Support1.3.0 release (2022-12-15)1.2.0 release (2022-09-01)
Enterprise Supportoffered by Sidero Labs Inc.offered by Sidero Labs Inc.
Kubernetes1.25, 1.24, 1.231.24, 1.23, 1.22
Architectureamd64, arm64amd64, arm64
Platforms
- cloudAWS, GCP, Azure, Digital Ocean, Hetzner, OpenStack, Oracle Cloud, Scaleway, Vultr, UpcloudAWS, GCP, Azure, Digital Ocean, Hetzner, OpenStack, Oracle Cloud, Scaleway, Vultr, Upcloud
- bare metalx86: BIOS, UEFI; arm64: UEFI; boot: ISO, PXE, disk imagex86: BIOS, UEFI; arm64: UEFI; boot: ISO, PXE, disk image
- virtualizedVMware, Hyper-V, KVM, Proxmox, XenVMware, Hyper-V, KVM, Proxmox, Xen
- SBCsBanana Pi M64, Jetson Nano, Libre Computer Board ALL-H3-CC, Pine64, Pine64 Rock64, Radxa ROCK Pi 4c, Raspberry Pi 4BBanana Pi M64, Jetson Nano, Libre Computer Board ALL-H3-CC, Pine64, Pine64 Rock64, Radxa ROCK Pi 4c, Raspberry Pi 4B
- localDocker, QEMUDocker, QEMU
Cluster API
CAPI Bootstrap Provider Talos>= 0.5.5>= 0.5.3
CAPI Control Plane Provider Talos>= 0.4.9>= 0.4.6
Sidero>= 0.5.5>= 0.5.4
UI
Theila

Platform Tiers

  • Tier 1: Automated tests, high-priority fixes.
  • Tier 2: Tested from time to time, medium-priority bugfixes.
  • Tier 3: Not tested by core Talos team, community tested.

Tier 1

  • Metal
  • AWS
  • GCP

Tier 2

  • Azure
  • Digital Ocean
  • OpenStack
  • VMWare

Tier 3

  • Hetzner
  • nocloud
  • Oracle Cloud
  • Scaleway
  • Vultr
  • Upcloud

2 - Talos Linux Guides

Documentation on how to manage Talos Linux

2.1 - Installation

How to install Talos Linux on various platforms

2.1.1 - Bare Metal Platforms

Installation of Talos Linux on various bare-metal platforms.

2.1.1.1 - Digital Rebar

In this guide we will create an Kubernetes cluster with 1 worker node, and 2 controlplane nodes using an existing digital rebar deployment.

Prerequisites

Creating a Cluster

In this guide we will create an Kubernetes cluster with 1 worker node, and 2 controlplane nodes. We assume an existing digital rebar deployment, and some familiarity with iPXE.

We leave it up to the user to decide if they would like to use static networking, or DHCP. The setup and configuration of DHCP will not be covered.

Create the Machine Configuration Files

Generating Base Configurations

Using the DNS name of the load balancer, generate the base configuration files for the Talos machines:

$ talosctl gen config talos-k8s-metal-tutorial https://<load balancer IP or DNS>:<port>
created controlplane.yaml
created worker.yaml
created talosconfig

The loadbalancer is used to distribute the load across multiple controlplane nodes. This isn’t covered in detail, because we assume some loadbalancing knowledge before hand. If you think this should be added to the docs, please create a issue.

At this point, you can modify the generated configs to your liking. Optionally, you can specify --config-patch with RFC6902 jsonpatch which will be applied during the config generation.

Validate the Configuration Files

$ talosctl validate --config controlplane.yaml --mode metal
controlplane.yaml is valid for metal mode
$ talosctl validate --config worker.yaml --mode metal
worker.yaml is valid for metal mode

Publishing the Machine Configuration Files

Digital Rebar has a built-in fileserver, which means we can use this feature to expose the talos configuration files. We will place controlplane.yaml, and worker.yaml into Digital Rebar file server by using the drpcli tools.

Copy the generated files from the step above into your Digital Rebar installation.

drpcli file upload <file>.yaml as <file>.yaml

Replacing <file> with controlplane or worker.

Download the boot files

Download a recent version of boot.tar.gz from github.

Upload to DRB:

$ drpcli isos upload boot.tar.gz as talos.tar.gz
{
  "Path": "talos.tar.gz",
  "Size": 96470072
}

We have some Digital Rebar example files in the Git repo you can use to provision Digital Rebar with drpcli.

To apply these configs you need to create them, and then apply them as follow:

$ drpcli bootenvs create talos
{
  "Available": true,
  "BootParams": "",
  "Bundle": "",
  "Description": "",
  "Documentation": "",
  "Endpoint": "",
  "Errors": [],
  "Initrds": [],
  "Kernel": "",
  "Meta": {},
  "Name": "talos",
  "OS": {
    "Codename": "",
    "Family": "",
    "IsoFile": "",
    "IsoSha256": "",
    "IsoUrl": "",
    "Name": "",
    "SupportedArchitectures": {},
    "Version": ""
  },
  "OnlyUnknown": false,
  "OptionalParams": [],
  "ReadOnly": false,
  "RequiredParams": [],
  "Templates": [],
  "Validated": true
}
drpcli bootenvs update talos - < bootenv.yaml

You need to do this for all files in the example directory. If you don’t have access to the drpcli tools you can also use the webinterface.

It’s important to have a corresponding SHA256 hash matching the boot.tar.gz

Bootenv BootParams

We’re using some of Digital Rebar built in templating to make sure the machine gets the correct role assigned.

talos.platform=metal talos.config={{ .ProvisionerURL }}/files/{{.Param \"talos/role\"}}.yaml"

This is why we also include a params.yaml in the example directory to make sure the role is set to one of the following:

  • controlplane
  • worker

The {{.Param \"talos/role\"}} then gets populated with one of the above roles.

Boot the Machines

In the UI of Digital Rebar you need to select the machines you want to provision. Once selected, you need to assign to following:

  • Profile
  • Workflow

This will provision the Stage and Bootenv with the talos values. Once this is done, you can boot the machine.

To understand the boot process, we have a higher level overview located at metal overview.

Bootstrap Etcd

To configure talosctl we will need the first control plane node’s IP:

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.1.2 - Equinix Metal

Creating Talos clusters with Equinix Metal.

You can create a Talos Linux cluster on Equinix Metal in a variety of ways, such as through the EM web UI, the metal command line too, or through PXE booting. Talos Linux is a supported OS install option on Equinix Metal, so it’s an easy process.

Regardless of the method, the process is:

  • Create a DNS entry for your Kubernetes endpoint.
  • Generate the configurations using talosctl.
  • Provision your machines on Equinix Metal.
  • Push the configurations to your servers (if not done as part of the machine provisioning).
  • configure your Kubernetes endpoint to point to the newly created control plane nodes
  • bootstrap the cluster

Define the Kubernetes Endpoint

There are a variety of ways to create an HA endpoint for the Kubernetes cluster. Some of the ways are:

  • DNS
  • Load Balancer
  • BGP

Whatever way is chosen, it should result in an IP address/DNS name that routes traffic to all the control plane nodes. We do not know the control plane node IP addresses at this stage, but we should define the endpoint DNS entry so that we can use it in creating the cluster configuration. After the nodes are provisioned, we can use their addresses to create the endpoint A records, or bind them to the load balancer, etc.

Create the Machine Configuration Files

Generating Configurations

Using the DNS name of the loadbalancer defined above, generate the base configuration files for the Talos machines:

$ talosctl gen config talos-k8s-em-tutorial https://<load balancer IP or DNS>:<port>
created controlplane.yaml
created worker.yaml
created talosconfig

The port used above should be 6443, unless your load balancer maps a different port to port 6443 on the control plane nodes.

Validate the Configuration Files

talosctl validate --config controlplane.yaml --mode metal
talosctl validate --config worker.yaml --mode metal

Note: Validation of the install disk could potentially fail as validation is performed on your local machine and the specified disk may not exist.

Passing in the configuration as User Data

You can use the metadata service provide by Equinix Metal to pass in the machines configuration. It is required to add a shebang to the top of the configuration file.

The convention we use is #!talos.

Provision the machines in Equinix Metal

Using the Equinix Metal UI

Simply select the location and type of machines in the Equinix Metal web interface. Select Talos as the Operating System, then select the number of servers to create, and name them (in lowercase only.) Under optional settings, you can optionally paste in the contents of controlplane.yaml that was generated, above (ensuring you add a first line of #!talos).

You can repeat this process to create machines of different types for control plane and worker nodes (although you would pass in worker.yaml for the worker nodes, as user data).

If you did not pass in the machine configuration as User Data, you need to provide it to each machine, with the following command:

talosctl apply-config --insecure --nodes <Node IP> --file ./controlplane.yaml

Creating a Cluster via the Equinix Metal CLI

This guide assumes the user has a working API token,and the Equinix Metal CLI installed.

Because Talos Linux is a supported operating system, Talos Linux machines can be provisioned directly via the CLI, using the -O talos_v1 parameter (for Operating System).

Note: Ensure you have prepended #!talos to the controlplane.yaml file.

metal device create \
  --project-id $PROJECT_ID \
  --facility $FACILITY \
  --operating-system "talos_v1" \
  --plan $PLAN\
  --hostname $HOSTNAME\
  --userdata-file controlplane.yaml

e.g. metal device create -p <projectID> -f da11 -O talos_v1 -P c3.small.x86 -H steve.test.11 --userdata-file ./controlplane.yaml

Repeat this to create each control plane node desired: there should usually be 3 for a HA cluster.

Network Booting via iPXE

You may install Talos over the network using TFTP and iPXE. You would first need a working TFTP and iPXE server.

In general this requires a Talos kernel vmlinuz and initramfs. These assets can be downloaded from a given release.

PXE Boot Kernel Parameters

The following is a list of kernel parameters required by Talos:

  • talos.platform: set this to equinixMetal
  • init_on_alloc=1: required by KSPP
  • slab_nomerge: required by KSPP
  • pti=on: required by KSPP

Create the Control Plane Nodes

metal device create \
  --project-id $PROJECT_ID \
  --facility $FACILITY \
  --ipxe-script-url $PXE_SERVER \
  --operating-system "custom_ipxe" \
  --plan $PLAN\
  --hostname $HOSTNAME\
  --userdata-file controlplane.yaml

Note: Repeat this to create each control plane node desired: there should usually be 3 for a HA cluster.

Create the Worker Nodes

metal device create \
  --project-id $PROJECT_ID \
  --facility $FACILITY \
  --ipxe-script-url $PXE_SERVER \
  --operating-system "custom_ipxe" \
  --plan $PLAN\
  --hostname $HOSTNAME\
  --userdata-file worker.yaml

Update the Kubernetes endpoint

Now our control plane nodes have been created, and we know their IP addresses, we can associate them with the Kubernetes endpoint. Configure your load balancer to route traffic to these nodes, or add A records to your DNS entry for the endpoint, for each control plane node. e.g.

host endpoint.mydomain.com
endpoint.mydomain.com has address 145.40.90.201
endpoint.mydomain.com has address 147.75.109.71
endpoint.mydomain.com has address 145.40.90.177

Bootstrap Etcd

Set the endpoints and nodes for talosctl:

talosctl --talosconfig talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

This only needs to be issued to one control plane node.

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.1.3 - Matchbox

In this guide we will create an HA Kubernetes cluster with 3 worker nodes using an existing load balancer and matchbox deployment.

Creating a Cluster

In this guide we will create an HA Kubernetes cluster with 3 worker nodes. We assume an existing load balancer, matchbox deployment, and some familiarity with iPXE.

We leave it up to the user to decide if they would like to use static networking, or DHCP. The setup and configuration of DHCP will not be covered.

Create the Machine Configuration Files

Generating Base Configurations

Using the DNS name of the load balancer, generate the base configuration files for the Talos machines:

$ talosctl gen config talos-k8s-metal-tutorial https://<load balancer IP or DNS>:<port>
created controlplane.yaml
created worker.yaml
created talosconfig

At this point, you can modify the generated configs to your liking. Optionally, you can specify --config-patch with RFC6902 jsonpatch which will be applied during the config generation.

Validate the Configuration Files

$ talosctl validate --config controlplane.yaml --mode metal
controlplane.yaml is valid for metal mode
$ talosctl validate --config worker.yaml --mode metal
worker.yaml is valid for metal mode

Publishing the Machine Configuration Files

In bare-metal setups it is up to the user to provide the configuration files over HTTP(S). A special kernel parameter (talos.config) must be used to inform Talos about where it should retrieve its configuration file. To keep things simple we will place controlplane.yaml, and worker.yaml into Matchbox’s assets directory. This directory is automatically served by Matchbox.

Create the Matchbox Configuration Files

The profiles we will create will reference vmlinuz, and initramfs.xz. Download these files from the release of your choice, and place them in /var/lib/matchbox/assets.

Profiles

Control Plane Nodes
{
  "id": "control-plane",
  "name": "control-plane",
  "boot": {
    "kernel": "/assets/vmlinuz",
    "initrd": ["/assets/initramfs.xz"],
    "args": [
      "initrd=initramfs.xz",
      "init_on_alloc=1",
      "slab_nomerge",
      "pti=on",
      "console=tty0",
      "console=ttyS0",
      "printk.devkmsg=on",
      "talos.platform=metal",
      "talos.config=http://matchbox.talos.dev/assets/controlplane.yaml"
    ]
  }
}

Note: Be sure to change http://matchbox.talos.dev to the endpoint of your matchbox server.

Worker Nodes
{
  "id": "default",
  "name": "default",
  "boot": {
    "kernel": "/assets/vmlinuz",
    "initrd": ["/assets/initramfs.xz"],
    "args": [
      "initrd=initramfs.xz",
      "init_on_alloc=1",
      "slab_nomerge",
      "pti=on",
      "console=tty0",
      "console=ttyS0",
      "printk.devkmsg=on",
      "talos.platform=metal",
      "talos.config=http://matchbox.talos.dev/assets/worker.yaml"
    ]
  }
}

Groups

Now, create the following groups, and ensure that the selectors are accurate for your specific setup.

{
  "id": "control-plane-1",
  "name": "control-plane-1",
  "profile": "control-plane",
  "selector": {
    ...
  }
}
{
  "id": "control-plane-2",
  "name": "control-plane-2",
  "profile": "control-plane",
  "selector": {
    ...
  }
}
{
  "id": "control-plane-3",
  "name": "control-plane-3",
  "profile": "control-plane",
  "selector": {
    ...
  }
}
{
  "id": "default",
  "name": "default",
  "profile": "default"
}

Boot the Machines

Now that we have our configuration files in place, boot all the machines. Talos will come up on each machine, grab its configuration file, and bootstrap itself.

Bootstrap Etcd

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.1.4 - Sidero

Sidero is a project created by the Talos team that has native support for Talos.

Sidero Metal is a project created by the Talos team that provides a bare metal installer for Cluster API, and that has native support for Talos Linux. It can be easily installed using clusterctl. The best way to get started with Sidero Metal is to visit the website.

2.1.2 - Virtualized Platforms

Installation of Talos Linux for virtualization platforms.

2.1.2.1 - Hyper-V

Creating a Talos Kubernetes cluster using Hyper-V.

Pre-requisities

  1. Download the latest talos-amd64.iso ISO from github releases page
  2. Create a New-TalosVM folder in any of your PS Module Path folders $env:PSModulePath -split ';' and save the New-TalosVM.psm1 there

Plan Overview

Here we will create a basic 3 node cluster with a single control-plane node and two worker nodes. The only difference between control plane and worker node is the amount of RAM and an additional storage VHD. This is personal preference and can be configured to your liking.

We are using a VMNamePrefix argument for a VM Name prefix and not the full hostname. This command will find any existing VM with that prefix and “+1” the highest suffix it finds. For example, if VMs talos-cp01 and talos-cp02 exist, this will create VMs starting from talos-cp03, depending on NumberOfVMs argument.

Setup a Control Plane Node

Use the following command to create a single control plane node:

New-TalosVM -VMNamePrefix talos-cp -CPUCount 2 -StartupMemory 4GB -SwitchName LAB -TalosISOPath C:\ISO\talos-amd64.iso -NumberOfVMs 1 -VMDestinationBasePath 'D:\Virtual Machines\Test VMs\Talos'

This will create talos-cp01 VM and power it on.

Setup Worker Nodes

Use the following command to create 2 worker nodes:

New-TalosVM -VMNamePrefix talos-worker -CPUCount 4 -StartupMemory 8GB -SwitchName LAB -TalosISOPath C:\ISO\talos-amd64.iso -NumberOfVMs 2 -VMDestinationBasePath 'D:\Virtual Machines\Test VMs\Talos' -StorageVHDSize 50GB

This will create two VMs: talos-worker01 and talos-wworker02 and attach an additional VHD of 50GB for storage (which in my case will be passed to Mayastor).

Pushing Config to the Nodes

Now that our VMs are ready, find their IP addresses from console of VM. With that information, push config to the control plane node with:

# set control plane IP variable
$CONTROL_PLANE_IP='10.10.10.x'

# Generate talos config
talosctl gen config talos-cluster https://$($CONTROL_PLANE_IP):6443 --output-dir .

# Apply config to control plane node
talosctl apply-config --insecure --nodes $CONTROL_PLANE_IP --file .\controlplane.yaml

Pushing Config to Worker Nodes

Similarly, for the workers:

talosctl apply-config --insecure --nodes 10.10.10.x --file .\worker.yaml

Apply the config to both nodes.

Bootstrap Cluster

Now that our nodes are ready, we are ready to bootstrap the Kubernetes cluster.

# Use following command to set node and endpoint permanantly in config so you dont have to type it everytime
talosctl config endpoint $CONTROL_PLANE_IP
talosctl config node $CONTROL_PLANE_IP

# Bootstrap cluster
talosctl bootstrap

# Generate kubeconfig
talosctl kubeconfig .

This will generate the kubeconfig file, you can use to connect to the cluster.

2.1.2.2 - KVM

Talos is known to work on KVM.

We don’t yet have a documented guide specific to KVM; however, you can have a look at our Vagrant & Libvirt guide which uses KVM for virtualization.

If you run into any issues, our community can probably help!

2.1.2.3 - Proxmox

Creating Talos Kubernetes cluster using Proxmox.

In this guide we will create a Kubernetes cluster using Proxmox.

Video Walkthrough

To see a live demo of this writeup, visit Youtube here:

Installation

How to Get Proxmox

It is assumed that you have already installed Proxmox onto the server you wish to create Talos VMs on. Visit the Proxmox downloads page if necessary.

Install talosctl

You can download talosctl via github.com/siderolabs/talos/releases

curl https://github.com/siderolabs/talos/releases/download/<version>/talosctl-<platform>-<arch> -L -o talosctl

For example version v1.2.8 for linux platform:

curl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-linux-amd64 -L -o talosctl
sudo cp talosctl /usr/local/bin
sudo chmod +x /usr/local/bin/talosctl

Download ISO Image

In order to install Talos in Proxmox, you will need the ISO image from the Talos release page. You can download talos-amd64.iso via github.com/siderolabs/talos/releases

mkdir -p _out/
curl https://github.com/siderolabs/talos/releases/download/<version>/talos-<arch>.iso -L -o _out/talos-<arch>.iso

For example version v1.2.8 for linux platform:

mkdir -p _out/
curl https://github.com/siderolabs/talos/releases/download/v1.2.8/talos-amd64.iso -L -o _out/talos-amd64.iso

Upload ISO

From the Proxmox UI, select the “local” storage and enter the “Content” section. Click the “Upload” button:

Select the ISO you downloaded previously, then hit “Upload”

Create VMs

Start by creating a new VM by clicking the “Create VM” button in the Proxmox UI:

Fill out a name for the new VM:

In the OS tab, select the ISO we uploaded earlier:

Keep the defaults set in the “System” tab.

Keep the defaults in the “Hard Disk” tab as well, only changing the size if desired.

In the “CPU” section, give at least 2 cores to the VM:

Note: As of Talos v1.0 (which requires the x86-64-v2 microarchitecture), booting with the default Processor Type kvm64 will not work. You can enable the required CPU features after creating the VM by adding the following line in the corresponding /etc/pve/qemu-server/<vmid>.conf file:

args: -cpu kvm64,+cx16,+lahf_lm,+popcnt,+sse3,+ssse3,+sse4.1,+sse4.2

Alternatively, you can set the Processor Type to host if your Proxmox host supports these CPU features, this however prevents using live VM migration.

Verify that the RAM is set to at least 2GB:

Keep the default values for networking, verifying that the VM is set to come up on the bridge interface:

Finish creating the VM by clicking through the “Confirm” tab and then “Finish”.

Repeat this process for a second VM to use as a worker node. You can also repeat this for additional nodes desired.

Start Control Plane Node

Once the VMs have been created and updated, start the VM that will be the first control plane node. This VM will boot the ISO image specified earlier and enter “maintenance mode”.

With DHCP server

Once the machine has entered maintenance mode, there will be a console log that details the IP address that the node received. Take note of this IP address, which will be referred to as $CONTROL_PLANE_IP for the rest of this guide. If you wish to export this IP as a bash variable, simply issue a command like export CONTROL_PLANE_IP=1.2.3.4.

Without DHCP server

To apply the machine configurations in maintenance mode, VM has to have IP on the network. So you can set it on boot time manually.

Press e on the boot time. And set the IP parameters for the VM. Format is:

ip=<client-ip>:<srv-ip>:<gw-ip>:<netmask>:<host>:<device>:<autoconf>

For example $CONTROL_PLANE_IP will be 192.168.0.100 and gateway 192.168.0.1

linux /boot/vmlinuz init_on_alloc=1 slab_nomerge pti=on panic=0 consoleblank=0 printk.devkmsg=on earlyprintk=ttyS0 console=tty0 console=ttyS0 talos.platform=metal ip=192.168.0.100::192.168.0.1:255.255.255.0::eth0:off

Then press Ctrl-x or F10

Generate Machine Configurations

With the IP address above, you can now generate the machine configurations to use for installing Talos and Kubernetes. Issue the following command, updating the output directory, cluster name, and control plane IP as you see fit:

talosctl gen config talos-vbox-cluster https://$CONTROL_PLANE_IP:6443 --output-dir _out

This will create several files in the _out directory: controlplane.yaml, worker.yaml, and talosconfig.

Create Control Plane Node

Using the controlplane.yaml generated above, you can now apply this config using talosctl. Issue:

talosctl apply-config --insecure --nodes $CONTROL_PLANE_IP --file _out/controlplane.yaml

You should now see some action in the Proxmox console for this VM. Talos will be installed to disk, the VM will reboot, and then Talos will configure the Kubernetes control plane on this VM.

Note: This process can be repeated multiple times to create an HA control plane.

Create Worker Node

Create at least a single worker node using a process similar to the control plane creation above. Start the worker node VM and wait for it to enter “maintenance mode”. Take note of the worker node’s IP address, which will be referred to as $WORKER_IP

Issue:

talosctl apply-config --insecure --nodes $WORKER_IP --file _out/worker.yaml

Note: This process can be repeated multiple times to add additional workers.

Using the Cluster

Once the cluster is available, you can make use of talosctl and kubectl to interact with the cluster. For example, to view current running containers, run talosctl containers for a list of containers in the system namespace, or talosctl containers -k for the k8s.io namespace. To view the logs of a container, use talosctl logs <container> or talosctl logs -k <container>.

First, configure talosctl to talk to your control plane node by issuing the following, updating paths and IPs as necessary:

export TALOSCONFIG="_out/talosconfig"
talosctl config endpoint $CONTROL_PLANE_IP
talosctl config node $CONTROL_PLANE_IP

Bootstrap Etcd

Set the endpoints and nodes:

talosctl --talosconfig _out/talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig _out/talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig _out/talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig _out/talosconfig kubeconfig .

Cleaning Up

To cleanup, simply stop and delete the virtual machines from the Proxmox UI.

2.1.2.4 - Vagrant & Libvirt

Pre-requisities

  1. Linux OS
  2. Vagrant installed
  3. vagrant-libvirt plugin installed
  4. talosctl installed
  5. kubectl installed

Overview

We will use Vagrant and its libvirt plugin to create a KVM-based cluster with 3 control plane nodes and 1 worker node.

For this, we will mount Talos ISO into the VMs using a virtual CD-ROM, and configure the VMs to attempt to boot from the disk first with the fallback to the CD-ROM.

We will also configure a virtual IP address on Talos to achieve high-availability on kube-apiserver.

Preparing the environment

First, we download the latest talos-amd64.iso ISO from GitHub releases into the /tmp directory.

wget --timestamping https://github.com/siderolabs/talos/releases/download/v1.2.8/talos-amd64.iso -O /tmp/talos-amd64.iso

Create a Vagrantfile with the following contents:

Vagrant.configure("2") do |config|
  config.vm.define "control-plane-node-1" do |vm|
    vm.vm.provider :libvirt do |domain|
      domain.cpus = 2
      domain.memory = 2048
      domain.serial :type => "file", :source => {:path => "/tmp/control-plane-node-1.log"}
      domain.storage :file, :device => :cdrom, :path => "/tmp/talos-amd64.iso"
      domain.storage :file, :size => '4G', :type => 'raw'
      domain.boot 'hd'
      domain.boot 'cdrom'
    end
  end

  config.vm.define "control-plane-node-2" do |vm|
    vm.vm.provider :libvirt do |domain|
      domain.cpus = 2
      domain.memory = 2048
      domain.serial :type => "file", :source => {:path => "/tmp/control-plane-node-2.log"}
      domain.storage :file, :device => :cdrom, :path => "/tmp/talos-amd64.iso"
      domain.storage :file, :size => '4G', :type => 'raw'
      domain.boot 'hd'
      domain.boot 'cdrom'
    end
  end

  config.vm.define "control-plane-node-3" do |vm|
    vm.vm.provider :libvirt do |domain|
      domain.cpus = 2
      domain.memory = 2048
      domain.serial :type => "file", :source => {:path => "/tmp/control-plane-node-3.log"}
      domain.storage :file, :device => :cdrom, :path => "/tmp/talos-amd64.iso"
      domain.storage :file, :size => '4G', :type => 'raw'
      domain.boot 'hd'
      domain.boot 'cdrom'
    end
  end

  config.vm.define "worker-node-1" do |vm|
    vm.vm.provider :libvirt do |domain|
      domain.cpus = 1
      domain.memory = 1024
      domain.serial :type => "file", :source => {:path => "/tmp/worker-node-1.log"}
      domain.storage :file, :device => :cdrom, :path => "/tmp/talos-amd64.iso"
      domain.storage :file, :size => '4G', :type => 'raw'
      domain.boot 'hd'
      domain.boot 'cdrom'
    end
  end
end

Bring up the nodes

Check the status of vagrant VMs:

vagrant status

You should see the VMs in “not created” state:

Current machine states:

control-plane-node-1      not created (libvirt)
control-plane-node-2      not created (libvirt)
control-plane-node-3      not created (libvirt)
worker-node-1             not created (libvirt)

Bring up the vagrant environment:

vagrant up --provider=libvirt

Check the status again:

vagrant status

Now you should see the VMs in “running” state:

Current machine states:

control-plane-node-1      running (libvirt)
control-plane-node-2      running (libvirt)
control-plane-node-3      running (libvirt)
worker-node-1             running (libvirt)

Find out the IP addresses assigned by the libvirt DHCP by running:

virsh list | grep vagrant | awk '{print $2}' | xargs -t -L1 virsh domifaddr

Output will look like the following:

virsh domifaddr vagrant_control-plane-node-2
 Name       MAC address          Protocol     Address
-------------------------------------------------------------------------------
 vnet0      52:54:00:f9:10:e5    ipv4         192.168.121.119/24

virsh domifaddr vagrant_control-plane-node-1
 Name       MAC address          Protocol     Address
-------------------------------------------------------------------------------
 vnet1      52:54:00:0f:ae:59    ipv4         192.168.121.203/24

virsh domifaddr vagrant_worker-node-1
 Name       MAC address          Protocol     Address
-------------------------------------------------------------------------------
 vnet2      52:54:00:6f:28:95    ipv4         192.168.121.69/24

virsh domifaddr vagrant_control-plane-node-3
 Name       MAC address          Protocol     Address
-------------------------------------------------------------------------------
 vnet3      52:54:00:03:45:10    ipv4         192.168.121.125/24

Our control plane nodes have the IPs: 192.168.121.203, 192.168.121.119, 192.168.121.125 and the worker node has the IP 192.168.121.69.

Now you should be able to interact with Talos nodes that are in maintenance mode:

talosctl -n 192.168.121.203 disks --insecure

Sample output:

DEV        MODEL   SERIAL   TYPE   UUID   WWID   MODALIAS                    NAME   SIZE     BUS_PATH
/dev/vda   -       -        HDD    -      -      virtio:d00000002v00001AF4   -      8.6 GB   /pci0000:00/0000:00:03.0/virtio0/

Installing Talos

Pick an endpoint IP in the vagrant-libvirt subnet but not used by any nodes, for example 192.168.121.100.

Generate a machine configuration:

talosctl gen config my-cluster https://192.168.121.100:6443 --install-disk /dev/vda

Edit controlplane.yaml to add the virtual IP you picked to a network interface under .machine.network.interfaces, for example:

machine:
  network:
    interfaces:
      - interface: eth0
        dhcp: true
        vip:
          ip: 192.168.121.100

Apply the configuration to the initial control plane node:

talosctl -n 192.168.121.203 apply-config --insecure --file controlplane.yaml

You can tail the logs of the node:

sudo tail -f /tmp/control-plane-node-1.log

Set up your shell to use the generated talosconfig and configure its endpoints (use the IPs of the control plane nodes):

export TALOSCONFIG=$(realpath ./talosconfig)
talosctl config endpoint 192.168.121.203 192.168.121.119 192.168.121.125

Bootstrap the Kubernetes cluster from the initial control plane node:

talosctl -n 192.168.121.203 bootstrap

Finally, apply the machine configurations to the remaining nodes:

talosctl -n 192.168.121.119 apply-config --insecure --file controlplane.yaml
talosctl -n 192.168.121.125 apply-config --insecure --file controlplane.yaml
talosctl -n 192.168.121.69 apply-config --insecure --file worker.yaml

After a while, you should see that all the members have joined:

talosctl -n 192.168.121.203 get members

The output will be like the following:

NODE              NAMESPACE   TYPE     ID                      VERSION   HOSTNAME                MACHINE TYPE   OS               ADDRESSES
192.168.121.203   cluster     Member   talos-192-168-121-119   1         talos-192-168-121-119   controlplane   Talos (v1.1.0)   ["192.168.121.119"]
192.168.121.203   cluster     Member   talos-192-168-121-69    1         talos-192-168-121-69    worker         Talos (v1.1.0)   ["192.168.121.69"]
192.168.121.203   cluster     Member   talos-192-168-121-203   6         talos-192-168-121-203   controlplane   Talos (v1.1.0)   ["192.168.121.100","192.168.121.203"]
192.168.121.203   cluster     Member   talos-192-168-121-125   1         talos-192-168-121-125   controlplane   Talos (v1.1.0)   ["192.168.121.125"]

Interacting with Kubernetes cluster

Retrieve the kubeconfig from the cluster:

talosctl -n 192.168.121.203 kubeconfig ./kubeconfig

List the nodes in the cluster:

kubectl --kubeconfig ./kubeconfig get node -owide

You will see an output similar to:

NAME                    STATUS   ROLES                  AGE     VERSION   INTERNAL-IP       EXTERNAL-IP   OS-IMAGE         KERNEL-VERSION   CONTAINER-RUNTIME
talos-192-168-121-203   Ready    control-plane,master   3m10s   v1.24.2   192.168.121.203   <none>        Talos (v1.1.0)   5.15.48-talos    containerd://1.6.6
talos-192-168-121-69    Ready    <none>                 2m25s   v1.24.2   192.168.121.69    <none>        Talos (v1.1.0)   5.15.48-talos    containerd://1.6.6
talos-192-168-121-119   Ready    control-plane,master   8m46s   v1.24.2   192.168.121.119   <none>        Talos (v1.1.0)   5.15.48-talos    containerd://1.6.6
talos-192-168-121-125   Ready    control-plane,master   3m11s   v1.24.2   192.168.121.125   <none>        Talos (v1.1.0)   5.15.48-talos    containerd://1.6.6

Congratulations, you have a highly-available Talos cluster running!

Cleanup

You can destroy the vagrant environment by running:

vagrant destroy -f

And remove the ISO image you downloaded:

sudo rm -f /tmp/talos-amd64.iso

2.1.2.5 - VMware

Creating Talos Kubernetes cluster using VMware.

Creating a Cluster via the govc CLI

In this guide we will create an HA Kubernetes cluster with 2 worker nodes. We will use the govc cli which can be downloaded here.

Prereqs/Assumptions

This guide will use the virtual IP (“VIP”) functionality that is built into Talos in order to provide a stable, known IP for the Kubernetes control plane. This simply means the user should pick an IP on their “VM Network” to designate for this purpose and keep it handy for future steps.

Create the Machine Configuration Files

Generating Base Configurations

Using the VIP chosen in the prereq steps, we will now generate the base configuration files for the Talos machines. This can be done with the talosctl gen config ... command. Take note that we will also use a JSON6902 patch when creating the configs so that the control plane nodes get some special information about the VIP we chose earlier, as well as a daemonset to install vmware tools on talos nodes.

First, download cp.patch.yaml to your local machine and edit the VIP to match your chosen IP. You can do this by issuing: curl -fsSLO https://raw.githubusercontent.com/siderolabs/talos/master/website/content/v1.2/talos-guides/install/virtualized-platforms/vmware/cp.patch.yaml. It’s contents should look like the following:

- op: add
  path: /machine/network
  value:
    interfaces:
    - interface: eth0
      dhcp: true
      vip:
        ip: <VIP>
- op: replace
  path: /cluster/extraManifests
  value:
    - "https://raw.githubusercontent.com/mologie/talos-vmtoolsd/master/deploy/unstable.yaml"

With the patch in hand, generate machine configs with:

$ talosctl gen config vmware-test https://<VIP>:<port> --config-patch-control-plane @cp.patch.yaml
created controlplane.yaml
created worker.yaml
created talosconfig

At this point, you can modify the generated configs to your liking if needed. Optionally, you can specify additional patches by adding to the cp.patch.yaml file downloaded earlier, or create your own patch files.

Validate the Configuration Files

$ talosctl validate --config controlplane.yaml --mode cloud
controlplane.yaml is valid for cloud mode
$ talosctl validate --config worker.yaml --mode cloud
worker.yaml is valid for cloud mode

Set Environment Variables

govc makes use of the following environment variables

export GOVC_URL=<vCenter url>
export GOVC_USERNAME=<vCenter username>
export GOVC_PASSWORD=<vCenter password>

Note: If your vCenter installation makes use of self signed certificates, you’ll want to export GOVC_INSECURE=true.

There are some additional variables that you may need to set:

export GOVC_DATACENTER=<vCenter datacenter>
export GOVC_RESOURCE_POOL=<vCenter resource pool>
export GOVC_DATASTORE=<vCenter datastore>
export GOVC_NETWORK=<vCenter network>

Choose Install Approach

As part of this guide, we have a more automated install script that handles some of the complexity of importing OVAs and creating VMs. If you wish to use this script, we will detail that next. If you wish to carry out the manual approach, simply skip ahead to the “Manual Approach” section.

Scripted Install

Download the vmware.sh script to your local machine. You can do this by issuing curl -fsSLO "https://raw.githubusercontent.com/siderolabs/talos/master/website/content/v1.2/talos-guides/install/virtualized-platforms/vmware/vmware.sh". This script has default variables for things like Talos version and cluster name that may be interesting to tweak before deploying.

Import OVA

To create a content library and import the Talos OVA corresponding to the mentioned Talos version, simply issue:

./vmware.sh upload_ova

Create Cluster

With the OVA uploaded to the content library, you can create a 5 node (by default) cluster with 3 control plane and 2 worker nodes:

./vmware.sh create

This step will create a VM from the OVA, edit the settings based on the env variables used for VM size/specs, then power on the VMs.

You may now skip past the “Manual Approach” section down to “Bootstrap Cluster”.

Manual Approach

Import the OVA into vCenter

A talos.ova asset is published with each release. We will refer to the version of the release as $TALOS_VERSION below. It can be easily exported with export TALOS_VERSION="v0.3.0-alpha.10" or similar.

curl -LO https://github.com/siderolabs/talos/releases/download/$TALOS_VERSION/talos.ova

Create a content library (if needed) with:

govc library.create <library name>

Import the OVA to the library with:

govc library.import -n talos-${TALOS_VERSION} <library name> /path/to/downloaded/talos.ova

Create the Bootstrap Node

We’ll clone the OVA to create the bootstrap node (our first control plane node).

govc library.deploy <library name>/talos-${TALOS_VERSION} control-plane-1

Talos makes use of the guestinfo facility of VMware to provide the machine/cluster configuration. This can be set using the govc vm.change command. To facilitate persistent storage using the vSphere cloud provider integration with Kubernetes, disk.enableUUID=1 is used.

govc vm.change \
  -e "guestinfo.talos.config=$(cat controlplane.yaml | base64)" \
  -e "disk.enableUUID=1" \
  -vm control-plane-1

Update Hardware Resources for the Bootstrap Node

  • -c is used to configure the number of cpus
  • -m is used to configure the amount of memory (in MB)
govc vm.change \
  -c 2 \
  -m 4096 \
  -vm control-plane-1

The following can be used to adjust the EPHEMERAL disk size.

govc vm.disk.change -vm control-plane-1 -disk.name disk-1000-0 -size 10G
govc vm.power -on control-plane-1

Create the Remaining Control Plane Nodes

govc library.deploy <library name>/talos-${TALOS_VERSION} control-plane-2
govc vm.change \
  -e "guestinfo.talos.config=$(base64 controlplane.yaml)" \
  -e "disk.enableUUID=1" \
  -vm control-plane-2

govc library.deploy <library name>/talos-${TALOS_VERSION} control-plane-3
govc vm.change \
  -e "guestinfo.talos.config=$(base64 controlplane.yaml)" \
  -e "disk.enableUUID=1" \
  -vm control-plane-3
govc vm.change \
  -c 2 \
  -m 4096 \
  -vm control-plane-2

govc vm.change \
  -c 2 \
  -m 4096 \
  -vm control-plane-3
govc vm.disk.change -vm control-plane-2 -disk.name disk-1000-0 -size 10G

govc vm.disk.change -vm control-plane-3 -disk.name disk-1000-0 -size 10G
govc vm.power -on control-plane-2

govc vm.power -on control-plane-3

Update Settings for the Worker Nodes

govc library.deploy <library name>/talos-${TALOS_VERSION} worker-1
govc vm.change \
  -e "guestinfo.talos.config=$(base64 worker.yaml)" \
  -e "disk.enableUUID=1" \
  -vm worker-1

govc library.deploy <library name>/talos-${TALOS_VERSION} worker-2
govc vm.change \
  -e "guestinfo.talos.config=$(base64 worker.yaml)" \
  -e "disk.enableUUID=1" \
  -vm worker-2
govc vm.change \
  -c 4 \
  -m 8192 \
  -vm worker-1

govc vm.change \
  -c 4 \
  -m 8192 \
  -vm worker-2
govc vm.disk.change -vm worker-1 -disk.name disk-1000-0 -size 10G

govc vm.disk.change -vm worker-2 -disk.name disk-1000-0 -size 10G
govc vm.power -on worker-1

govc vm.power -on worker-2

Bootstrap Cluster

In the vSphere UI, open a console to one of the control plane nodes. You should see some output stating that etcd should be bootstrapped. This text should look like:

"etcd is waiting to join the cluster, if this node is the first node in the cluster, please run `talosctl bootstrap` against one of the following IPs:

Take note of the IP mentioned here and issue:

talosctl --talosconfig talosconfig bootstrap -e <control plane IP> -n <control plane IP>

Keep this IP handy for the following steps as well.

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig config endpoint <control plane IP>
talosctl --talosconfig talosconfig config node <control plane IP>
talosctl --talosconfig talosconfig kubeconfig .

Configure talos-vmtoolsd

The talos-vmtoolsd application was deployed as a daemonset as part of the cluster creation; however, we must now provide a talos credentials file for it to use.

Create a new talosconfig with:

talosctl --talosconfig talosconfig -n <control plane IP> config new vmtoolsd-secret.yaml --roles os:admin

Create a secret from the talosconfig:

kubectl -n kube-system create secret generic talos-vmtoolsd-config \
  --from-file=talosconfig=./vmtoolsd-secret.yaml

Clean up the generated file from local system:

rm vmtoolsd-secret.yaml

Once configured, you should now see these daemonset pods go into “Running” state and in vCenter, you will now see IPs and info from the Talos nodes present in the UI.

2.1.2.6 - Xen

Talos is known to work on Xen. We don’t yet have a documented guide specific to Xen; however, you can follow the General Getting Started Guide. If you run into any issues, our community can probably help!

2.1.3 - Cloud Platforms

Installation of Talos Linux on many cloud platforms.

2.1.3.1 - AWS

Creating a cluster via the AWS CLI.

Creating a Cluster via the AWS CLI

In this guide we will create an HA Kubernetes cluster with 3 worker nodes. We assume an existing VPC, and some familiarity with AWS. If you need more information on AWS specifics, please see the official AWS documentation.

Set the needed info

Change to your desired region:

REGION="us-west-2"
aws ec2 describe-vpcs --region $REGION

VPC="(the VpcId from the above command)"

Create the Subnet

Use a CIDR block that is present on the VPC specified above.

aws ec2 create-subnet \
    --region $REGION \
    --vpc-id $VPC \
    --cidr-block ${CIDR_BLOCK}

Note the subnet ID that was returned, and assign it to a variable for ease of later use:

SUBNET="(the subnet ID of the created subnet)"

Official AMI Images

Official AMI image ID can be found in the cloud-images.json file attached to the Talos release:

AMI=`curl -sL https://github.com/siderolabs/talos/releases/download/v1.2.8/cloud-images.json | \
    jq -r '.[] | select(.region == "'$REGION'") | select (.arch == "amd64") | .id'`
echo $AMI

Replace amd64 in the line above with the desired architecture. Note the AMI id that is returned is assigned to an environment variable: it will be used later when booting instances.

If using the official AMIs, you can skip to Creating the Security group

Create your own AMIs

The use of the official Talos AMIs are recommended, but if you wish to build your own AMIs, follow the procedure below.

Create the S3 Bucket

aws s3api create-bucket \
    --bucket $BUCKET \
    --create-bucket-configuration LocationConstraint=$REGION \
    --acl private

Create the vmimport Role

In order to create an AMI, ensure that the vmimport role exists as described in the official AWS documentation.

Note that the role should be associated with the S3 bucket we created above.

Create the Image Snapshot

First, download the AWS image from a Talos release:

curl -L https://github.com/siderolabs/talos/releases/download/v1.2.8/aws-amd64.tar.gz | tar -xv

Copy the RAW disk to S3 and import it as a snapshot:

aws s3 cp disk.raw s3://$BUCKET/talos-aws-tutorial.raw
aws ec2 import-snapshot \
    --region $REGION \
    --description "Talos kubernetes tutorial" \
    --disk-container "Format=raw,UserBucket={S3Bucket=$BUCKET,S3Key=talos-aws-tutorial.raw}"

Save the SnapshotId, as we will need it once the import is done. To check on the status of the import, run:

aws ec2 describe-import-snapshot-tasks \
    --region $REGION \
    --import-task-ids

Once the SnapshotTaskDetail.Status indicates completed, we can register the image.

Register the Image

aws ec2 register-image \
    --region $REGION \
    --block-device-mappings "DeviceName=/dev/xvda,VirtualName=talos,Ebs={DeleteOnTermination=true,SnapshotId=$SNAPSHOT,VolumeSize=4,VolumeType=gp2}" \
    --root-device-name /dev/xvda \
    --virtualization-type hvm \
    --architecture x86_64 \
    --ena-support \
    --name talos-aws-tutorial-ami

We now have an AMI we can use to create our cluster. Save the AMI ID, as we will need it when we create EC2 instances.

AMI="(AMI ID of the register image command)"

Create a Security Group

aws ec2 create-security-group \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --description "Security Group for EC2 instances to allow ports required by Talos"

SECURITY_GROUP="(security group id that is returned)"

Using the security group from above, allow all internal traffic within the same security group:

aws ec2 authorize-security-group-ingress \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --protocol all \
    --port 0 \
    --source-group talos-aws-tutorial-sg

and expose the Talos and Kubernetes APIs:

aws ec2 authorize-security-group-ingress \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --protocol tcp \
    --port 6443 \
    --cidr 0.0.0.0/0

aws ec2 authorize-security-group-ingress \
    --region $REGION \
    --group-name talos-aws-tutorial-sg \
    --protocol tcp \
    --port 50000-50001 \
    --cidr 0.0.0.0/0

Create a Load Balancer

aws elbv2 create-load-balancer \
    --region $REGION \
    --name talos-aws-tutorial-lb \
    --type network --subnets $SUBNET

Take note of the DNS name and ARN. We will need these soon.

LOAD_BALANCER_ARN="(arn of the load balancer)"
aws elbv2 create-target-group \
    --region $REGION \
    --name talos-aws-tutorial-tg \
    --protocol TCP \
    --port 6443 \
    --target-type ip \
    --vpc-id $VPC

Also note the TargetGroupArn that is returned.

TARGET_GROUP_ARN="(target group arn)"

Create the Machine Configuration Files

Using the DNS name of the loadbalancer created earlier, generate the base configuration files for the Talos machines.

Note that the port used here is the externally accessible port configured on the load balancer - 443 - not the internal port of 6443:

$ talosctl gen config talos-k8s-aws-tutorial https://<load balancer DNS>:<port> --with-examples=false --with-docs=false
created controlplane.yaml
created worker.yaml
created talosconfig

Note that the generated configs are too long for AWS userdata field if the --with-examples and --with-docs flags are not passed.

At this point, you can modify the generated configs to your liking.

Optionally, you can specify --config-patch with RFC6902 jsonpatch which will be applied during the config generation.

Validate the Configuration Files

$ talosctl validate --config controlplane.yaml --mode cloud
controlplane.yaml is valid for cloud mode
$ talosctl validate --config worker.yaml --mode cloud
worker.yaml is valid for cloud mode

Create the EC2 Instances

change the instance type if desired. Note: There is a known issue that prevents Talos from running on T2 instance types. Please use T3 if you need burstable instance types.

Create the Control Plane Nodes

CP_COUNT=1
while [[ "$CP_COUNT" -lt 4 ]]; do
  aws ec2 run-instances \
    --region $REGION \
    --image-id $AMI \
    --count 1 \
    --instance-type t3.small \
    --user-data file://controlplane.yaml \
    --subnet-id $SUBNET \
    --security-group-ids $SECURITY_GROUP \
    --associate-public-ip-address \
    --tag-specifications "ResourceType=instance,Tags=[{Key=Name,Value=talos-aws-tutorial-cp-$CP_COUNT}]"
  ((CP_COUNT++))
done

Make a note of the resulting PrivateIpAddress from the controlplane nodes for later use.

Create the Worker Nodes

aws ec2 run-instances \
    --region $REGION \
    --image-id $AMI \
    --count 3 \
    --instance-type t3.small \
    --user-data file://worker.yaml \
    --subnet-id $SUBNET \
    --security-group-ids $SECURITY_GROUP
    --tag-specifications "ResourceType=instance,Tags=[{Key=Name,Value=talos-aws-tutorial-worker}]"

Configure the Load Balancer

Now, using the load balancer target group’s ARN, and the PrivateIpAddress from the controlplane instances that you created :

aws elbv2 register-targets \
    --region $REGION \
    --target-group-arn $TARGET_GROUP_ARN \
    --targets Id=$CP_NODE_1_IP  Id=$CP_NODE_2_IP  Id=$CP_NODE_3_IP

Using the ARNs of the load balancer and target group from previous steps, create the listener:

aws elbv2 create-listener \
    --region $REGION \
    --load-balancer-arn $LOAD_BALANCER_ARN \
    --protocol TCP \
    --port 443 \
    --default-actions Type=forward,TargetGroupArn=$TARGET_GROUP_ARN

Bootstrap Etcd

Set the endpoints (the control plane node to which talosctl commands are sent) and nodes (the nodes that the command operates on):

talosctl --talosconfig talosconfig config endpoint <control plane 1 PUBLIC IP>
talosctl --talosconfig talosconfig config node <control plane 1 PUBLIC IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

The different control plane nodes should sendi/receive traffic via the load balancer, notice that one of the control plane has intiated the etcd cluster, and the others should join. You can now watch as your cluster bootstraps, by using

talosctl --talosconfig talosconfig  health

You can also watch the performance of a node, via:

talosctl  --talosconfig talosconfig dashboard

And use standard kubectl commands.

2.1.3.2 - Azure

Creating a cluster via the CLI on Azure.

Creating a Cluster via the CLI

In this guide we will create an HA Kubernetes cluster with 1 worker node. We assume existing Blob Storage, and some familiarity with Azure. If you need more information on Azure specifics, please see the official Azure documentation.

Environment Setup

We’ll make use of the following environment variables throughout the setup. Edit the variables below with your correct information.

# Storage account to use
export STORAGE_ACCOUNT="StorageAccountName"

# Storage container to upload to
export STORAGE_CONTAINER="StorageContainerName"

# Resource group name
export GROUP="ResourceGroupName"

# Location
export LOCATION="centralus"

# Get storage account connection string based on info above
export CONNECTION=$(az storage account show-connection-string \
                    -n $STORAGE_ACCOUNT \
                    -g $GROUP \
                    -o tsv)

Create the Image

First, download the Azure image from a Talos release. Once downloaded, untar with tar -xvf /path/to/azure-amd64.tar.gz

Upload the VHD

Once you have pulled down the image, you can upload it to blob storage with:

az storage blob upload \
  --connection-string $CONNECTION \
  --container-name $STORAGE_CONTAINER \
  -f /path/to/extracted/talos-azure.vhd \
  -n talos-azure.vhd

Register the Image

Now that the image is present in our blob storage, we’ll register it.

az image create \
  --name talos \
  --source https://$STORAGE_ACCOUNT.blob.core.windows.net/$STORAGE_CONTAINER/talos-azure.vhd \
  --os-type linux \
  -g $GROUP

Network Infrastructure

Virtual Networks and Security Groups

Once the image is prepared, we’ll want to work through setting up the network. Issue the following to create a network security group and add rules to it.

# Create vnet
az network vnet create \
  --resource-group $GROUP \
  --location $LOCATION \
  --name talos-vnet \
  --subnet-name talos-subnet

# Create network security group
az network nsg create -g $GROUP -n talos-sg

# Client -> apid
az network nsg rule create \
  -g $GROUP \
  --nsg-name talos-sg \
  -n apid \
  --priority 1001 \
  --destination-port-ranges 50000 \
  --direction inbound

# Trustd
az network nsg rule create \
  -g $GROUP \
  --nsg-name talos-sg \
  -n trustd \
  --priority 1002 \
  --destination-port-ranges 50001 \
  --direction inbound

# etcd
az network nsg rule create \
  -g $GROUP \
  --nsg-name talos-sg \
  -n etcd \
  --priority 1003 \
  --destination-port-ranges 2379-2380 \
  --direction inbound

# Kubernetes API Server
az network nsg rule create \
  -g $GROUP \
  --nsg-name talos-sg \
  -n kube \
  --priority 1004 \
  --destination-port-ranges 6443 \
  --direction inbound

Load Balancer

We will create a public ip, load balancer, and a health check that we will use for our control plane.

# Create public ip
az network public-ip create \
  --resource-group $GROUP \
  --name talos-public-ip \
  --allocation-method static

# Create lb
az network lb create \
  --resource-group $GROUP \
  --name talos-lb \
  --public-ip-address talos-public-ip \
  --frontend-ip-name talos-fe \
  --backend-pool-name talos-be-pool

# Create health check
az network lb probe create \
  --resource-group $GROUP \
  --lb-name talos-lb \
  --name talos-lb-health \
  --protocol tcp \
  --port 6443

# Create lb rule for 6443
az network lb rule create \
  --resource-group $GROUP \
  --lb-name talos-lb \
  --name talos-6443 \
  --protocol tcp \
  --frontend-ip-name talos-fe \
  --frontend-port 6443 \
  --backend-pool-name talos-be-pool \
  --backend-port 6443 \
  --probe-name talos-lb-health

Network Interfaces

In Azure, we have to pre-create the NICs for our control plane so that they can be associated with our load balancer.

for i in $( seq 0 1 2 ); do
  # Create public IP for each nic
  az network public-ip create \
    --resource-group $GROUP \
    --name talos-controlplane-public-ip-$i \
    --allocation-method static


  # Create nic
  az network nic create \
    --resource-group $GROUP \
    --name talos-controlplane-nic-$i \
    --vnet-name talos-vnet \
    --subnet talos-subnet \
    --network-security-group talos-sg \
    --public-ip-address talos-controlplane-public-ip-$i\
    --lb-name talos-lb \
    --lb-address-pools talos-be-pool
done

# NOTES:
# Talos can detect PublicIPs automatically if PublicIP SKU is Basic.
# Use `--sku Basic` to set SKU to Basic.

Cluster Configuration

With our networking bits setup, we’ll fetch the IP for our load balancer and create our configuration files.

LB_PUBLIC_IP=$(az network public-ip show \
              --resource-group $GROUP \
              --name talos-public-ip \
              --query [ipAddress] \
              --output tsv)

talosctl gen config talos-k8s-azure-tutorial https://${LB_PUBLIC_IP}:6443

Compute Creation

We are now ready to create our azure nodes. Azure allows you to pass Talos machine configuration to the virtual machine at bootstrap time via user-data or custom-data methods.

Talos supports only custom-data method, machine configuration is available to the VM only on the first boot.

# Create availability set
az vm availability-set create \
  --name talos-controlplane-av-set \
  -g $GROUP

# Create the controlplane nodes
for i in $( seq 0 1 2 ); do
  az vm create \
    --name talos-controlplane-$i \
    --image talos \
    --custom-data ./controlplane.yaml \
    -g $GROUP \
    --admin-username talos \
    --generate-ssh-keys \
    --verbose \
    --boot-diagnostics-storage $STORAGE_ACCOUNT \
    --os-disk-size-gb 20 \
    --nics talos-controlplane-nic-$i \
    --availability-set talos-controlplane-av-set \
    --no-wait
done

# Create worker node
  az vm create \
    --name talos-worker-0 \
    --image talos \
    --vnet-name talos-vnet \
    --subnet talos-subnet \
    --custom-data ./worker.yaml \
    -g $GROUP \
    --admin-username talos \
    --generate-ssh-keys \
    --verbose \
    --boot-diagnostics-storage $STORAGE_ACCOUNT \
    --nsg talos-sg \
    --os-disk-size-gb 20 \
    --no-wait

# NOTES:
# `--admin-username` and `--generate-ssh-keys` are required by the az cli,
# but are not actually used by talos
# `--os-disk-size-gb` is the backing disk for Kubernetes and any workload containers
# `--boot-diagnostics-storage` is to enable console output which may be necessary
# for troubleshooting

Bootstrap Etcd

You should now be able to interact with your cluster with talosctl. We will need to discover the public IP for our first control plane node first.

CONTROL_PLANE_0_IP=$(az network public-ip show \
                    --resource-group $GROUP \
                    --name talos-controlplane-public-ip-0 \
                    --query [ipAddress] \
                    --output tsv)

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint $CONTROL_PLANE_0_IP
talosctl --talosconfig talosconfig config node $CONTROL_PLANE_0_IP

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.3.3 - DigitalOcean

Creating a cluster via the CLI on DigitalOcean.

Creating a Cluster via the CLI

In this guide we will create an HA Kubernetes cluster with 1 worker node. We assume an existing Space, and some familiarity with DigitalOcean. If you need more information on DigitalOcean specifics, please see the official DigitalOcean documentation.

Create the Image

First, download the DigitalOcean image from a Talos release. Extract the archive to get the disk.raw file, compress it using gzip to disk.raw.gz.

Using an upload method of your choice (doctl does not have Spaces support), upload the image to a space. Now, create an image using the URL of the uploaded image:

doctl compute image create \
    --region $REGION \
    --image-description talos-digital-ocean-tutorial \
    --image-url https://talos-tutorial.$REGION.digitaloceanspaces.com/disk.raw.gz \
    Talos

Save the image ID. We will need it when creating droplets.

Create a Load Balancer

doctl compute load-balancer create \
    --region $REGION \
    --name talos-digital-ocean-tutorial-lb \
    --tag-name talos-digital-ocean-tutorial-control-plane \
    --health-check protocol:tcp,port:6443,check_interval_seconds:10,response_timeout_seconds:5,healthy_threshold:5,unhealthy_threshold:3 \
    --forwarding-rules entry_protocol:tcp,entry_port:443,target_protocol:tcp,target_port:6443

We will need the IP of the load balancer. Using the ID of the load balancer, run:

doctl compute load-balancer get --format IP <load balancer ID>

Save it, as we will need it in the next step.

Create the Machine Configuration Files

Generating Base Configurations

Using the DNS name of the loadbalancer created earlier, generate the base configuration files for the Talos machines:

$ talosctl gen config talos-k8s-digital-ocean-tutorial https://<load balancer IP or DNS>:<port>
created controlplane.yaml
created worker.yaml
created talosconfig

At this point, you can modify the generated configs to your liking. Optionally, you can specify --config-patch with RFC6902 jsonpatch which will be applied during the config generation.

Validate the Configuration Files

$ talosctl validate --config controlplane.yaml --mode cloud
controlplane.yaml is valid for cloud mode
$ talosctl validate --config worker.yaml --mode cloud
worker.yaml is valid for cloud mode

Create the Droplets

Create the Control Plane Nodes

Run the following commands, to give ourselves three total control plane nodes:

doctl compute droplet create \
    --region $REGION \
    --image <image ID> \
    --size s-2vcpu-4gb \
    --enable-private-networking \
    --tag-names talos-digital-ocean-tutorial-control-plane \
    --user-data-file controlplane.yaml \
    --ssh-keys <ssh key fingerprint> \
    talos-control-plane-1
doctl compute droplet create \
    --region $REGION \
    --image <image ID> \
    --size s-2vcpu-4gb \
    --enable-private-networking \
    --tag-names talos-digital-ocean-tutorial-control-plane \
    --user-data-file controlplane.yaml \
    --ssh-keys <ssh key fingerprint> \
    talos-control-plane-2
doctl compute droplet create \
    --region $REGION \
    --image <image ID> \
    --size s-2vcpu-4gb \
    --enable-private-networking \
    --tag-names talos-digital-ocean-tutorial-control-plane \
    --user-data-file controlplane.yaml \
    --ssh-keys <ssh key fingerprint> \
    talos-control-plane-3

Note: Although SSH is not used by Talos, DigitalOcean still requires that an SSH key be associated with the droplet. Create a dummy key that can be used to satisfy this requirement.

Create the Worker Nodes

Run the following to create a worker node:

doctl compute droplet create \
    --region $REGION \
    --image <image ID> \
    --size s-2vcpu-4gb \
    --enable-private-networking \
    --user-data-file worker.yaml \
    --ssh-keys <ssh key fingerprint> \
    talos-worker-1

Bootstrap Etcd

To configure talosctl we will need the first control plane node’s IP:

doctl compute droplet get --format PublicIPv4 <droplet ID>

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.3.4 - GCP

Creating a cluster via the CLI on Google Cloud Platform.

Creating a Cluster via the CLI

In this guide, we will create an HA Kubernetes cluster in GCP with 1 worker node. We will assume an existing Cloud Storage bucket, and some familiarity with Google Cloud. If you need more information on Google Cloud specifics, please see the official Google documentation.

jq and talosctl also needs to be installed

Manual Setup

Environment Setup

We’ll make use of the following environment variables throughout the setup. Edit the variables below with your correct information.

# Storage account to use
export STORAGE_BUCKET="StorageBucketName"
# Region
export REGION="us-central1"

Create the Image

First, download the Google Cloud image from a Talos release. These images are called gcp-$ARCH.tar.gz.

Upload the Image

Once you have downloaded the image, you can upload it to your storage bucket with:

gsutil cp /path/to/gcp-amd64.tar.gz gs://$STORAGE_BUCKET

Register the image

Now that the image is present in our bucket, we’ll register it.

gcloud compute images create talos \
 --source-uri=gs://$STORAGE_BUCKET/gcp-amd64.tar.gz \
 --guest-os-features=VIRTIO_SCSI_MULTIQUEUE

Network Infrastructure

Load Balancers and Firewalls

Once the image is prepared, we’ll want to work through setting up the network. Issue the following to create a firewall, load balancer, and their required components.

130.211.0.0/22 and 35.191.0.0/16 are the GCP Load Balancer IP ranges

# Create Instance Group
gcloud compute instance-groups unmanaged create talos-ig \
  --zone $REGION-b

# Create port for IG
gcloud compute instance-groups set-named-ports talos-ig \
    --named-ports tcp6443:6443 \
    --zone $REGION-b

# Create health check
gcloud compute health-checks create tcp talos-health-check --port 6443

# Create backend
gcloud compute backend-services create talos-be \
    --global \
    --protocol TCP \
    --health-checks talos-health-check \
    --timeout 5m \
    --port-name tcp6443

# Add instance group to backend
gcloud compute backend-services add-backend talos-be \
    --global \
    --instance-group talos-ig \
    --instance-group-zone $REGION-b

# Create tcp proxy
gcloud compute target-tcp-proxies create talos-tcp-proxy \
    --backend-service talos-be \
    --proxy-header NONE

# Create LB IP
gcloud compute addresses create talos-lb-ip --global

# Forward 443 from LB IP to tcp proxy
gcloud compute forwarding-rules create talos-fwd-rule \
    --global \
    --ports 443 \
    --address talos-lb-ip \
    --target-tcp-proxy talos-tcp-proxy

# Create firewall rule for health checks
gcloud compute firewall-rules create talos-controlplane-firewall \
     --source-ranges 130.211.0.0/22,35.191.0.0/16 \
     --target-tags talos-controlplane \
     --allow tcp:6443

# Create firewall rule to allow talosctl access
gcloud compute firewall-rules create talos-controlplane-talosctl \
  --source-ranges 0.0.0.0/0 \
  --target-tags talos-controlplane \
  --allow tcp:50000

Cluster Configuration

With our networking bits setup, we’ll fetch the IP for our load balancer and create our configuration files.

LB_PUBLIC_IP=$(gcloud compute forwarding-rules describe talos-fwd-rule \
               --global \
               --format json \
               | jq -r .IPAddress)

talosctl gen config talos-k8s-gcp-tutorial https://${LB_PUBLIC_IP}:443

Additionally, you can specify --config-patch with RFC6902 jsonpatch which will be applied during the config generation.

Compute Creation

We are now ready to create our GCP nodes.

# Create the control plane nodes.
for i in $( seq 1 3 ); do
  gcloud compute instances create talos-controlplane-$i \
    --image talos \
    --zone $REGION-b \
    --tags talos-controlplane \
    --boot-disk-size 20GB \
    --metadata-from-file=user-data=./controlplane.yaml
    --tags talos-controlplane-$i
done

# Add control plane nodes to instance group
for i in $( seq 1 3 ); do
  gcloud compute instance-groups unmanaged add-instances talos-ig \
      --zone $REGION-b \
      --instances talos-controlplane-$i
done

# Create worker
gcloud compute instances create talos-worker-0 \
  --image talos \
  --zone $REGION-b \
  --boot-disk-size 20GB \
  --metadata-from-file=user-data=./worker.yaml
  --tags talos-worker-$i

Bootstrap Etcd

You should now be able to interact with your cluster with talosctl. We will need to discover the public IP for our first control plane node first.

CONTROL_PLANE_0_IP=$(gcloud compute instances describe talos-controlplane-0 \
                     --zone $REGION-b \
                     --format json \
                     | jq -r '.networkInterfaces[0].accessConfigs[0].natIP')

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint $CONTROL_PLANE_0_IP
talosctl --talosconfig talosconfig config node $CONTROL_PLANE_0_IP

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

Cleanup

# cleanup VM's
gcloud compute instances delete \
  talos-worker-0 \
  talos-controlplane-0 \
  talos-controlplane-1 \
  talos-controlplane-2

# cleanup firewall rules
gcloud compute firewall-rules delete \
  talos-controlplane-talosctl \
  talos-controlplane-firewall

# cleanup forwarding rules
gcloud compute forwarding-rules delete \
  talos-fwd-rule

# cleanup addresses
gcloud compute addresses delete \
  talos-lb-ip

# cleanup proxies
gcloud compute target-tcp-proxies delete \
  talos-tcp-proxy

# cleanup backend services
gcloud compute backend-services delete \
  talos-be

# cleanup health checks
gcloud compute health-checks delete \
  talos-health-check

# cleanup unmanaged instance groups
gcloud compute instance-groups unmanaged delete \
  talos-ig

# cleanup Talos image
gcloud compute images delete \
  talos

Using GCP Deployment manager

Using GCP deployment manager automatically creates a Google Storage bucket and uploads the Talos image to it. Once the deployment is complete the generated talosconfig and kubeconfig files are uploaded to the bucket.

By default this setup creates a three node control plane and a single worker in us-west1-b

First we need to create a folder to store our deployment manifests and perform all subsequent operations from that folder.

mkdir -p talos-gcp-deployment
cd talos-gcp-deployment

Getting the deployment manifests

We need to download two deployment manifests for the deployment from the Talos github repository.

curl -fsSLO "https://raw.githubusercontent.com/siderolabs/talos/master/website/content/v1.2/talos-guides/install/cloud-platforms/gcp/config.yaml"
curl -fsSLO "https://raw.githubusercontent.com/siderolabs/talos/master/website/content/v1.2/talos-guides/install/cloud-platforms/gcp/talos-ha.jinja"
# if using ccm
curl -fsSLO "https://raw.githubusercontent.com/siderolabs/talos/master/website/content/v1.2/talos-guides/install/cloud-platforms/gcp/gcp-ccm.yaml"

Updating the config

Now we need to update the local config.yaml file with any required changes such as changing the default zone, Talos version, machine sizes, nodes count etc.

An example config.yaml file is shown below:

imports:
  - path: talos-ha.jinja

resources:
  - name: talos-ha
    type: talos-ha.jinja
    properties:
      zone: us-west1-b
      talosVersion: v1.2.8
      externalCloudProvider: false
      controlPlaneNodeCount: 5
      controlPlaneNodeType: n1-standard-1
      workerNodeCount: 3
      workerNodeType: n1-standard-1
outputs:
  - name: bucketName
    value: $(ref.talos-ha.bucketName)

Enabling external cloud provider

Note: The externalCloudProvider property is set to false by default. The manifest used for deploying the ccm (cloud controller manager) is currently using the GCP ccm provided by openshift since there are no public images for the ccm yet.

Since the routes controller is disabled while deploying the CCM, the CNI pods needs to be restarted after the CCM deployment is complete to remove the node.kubernetes.io/network-unavailable taint. See Nodes network-unavailable taint not removed after installing ccm for more information

Use a custom built image for the ccm deployment if required.

Creating the deployment

Now we are ready to create the deployment. Confirm with y for any prompts. Run the following command to create the deployment:

# use a unique name for the deployment, resources are prefixed with the deployment name
export DEPLOYMENT_NAME="<deployment name>"
gcloud deployment-manager deployments create "${DEPLOYMENT_NAME}" --config config.yaml

Retrieving the outputs

First we need to get the deployment outputs.

# first get the outputs
OUTPUTS=$(gcloud deployment-manager deployments describe "${DEPLOYMENT_NAME}" --format json | jq '.outputs[]')

BUCKET_NAME=$(jq -r '. | select(.name == "bucketName").finalValue' <<< "${OUTPUTS}")
# used when cloud controller is enabled
SERVICE_ACCOUNT=$(jq -r '. | select(.name == "serviceAccount").finalValue' <<< "${OUTPUTS}")
PROJECT=$(jq -r '. | select(.name == "project").finalValue' <<< "${OUTPUTS}")

Note: If cloud controller manager is enabled, the below command needs to be run to allow the controller custom role to access cloud resources

gcloud projects add-iam-policy-binding \
    "${PROJECT}" \
    --member "serviceAccount:${SERVICE_ACCOUNT}" \
    --role roles/iam.serviceAccountUser

gcloud projects add-iam-policy-binding \
    "${PROJECT}" \
    --member serviceAccount:"${SERVICE_ACCOUNT}" \
    --role roles/compute.admin

gcloud projects add-iam-policy-binding \
    "${PROJECT}" \
    --member serviceAccount:"${SERVICE_ACCOUNT}" \
    --role roles/compute.loadBalancerAdmin

Downloading talos and kube config

In addition to the talosconfig and kubeconfig files, the storage bucket contains the controlplane.yaml and worker.yaml files used to join additional nodes to the cluster.

gsutil cp "gs://${BUCKET_NAME}/generated/talosconfig" .
gsutil cp "gs://${BUCKET_NAME}/generated/kubeconfig" .

Deploying the cloud controller manager

kubectl \
  --kubeconfig kubeconfig \
  --namespace kube-system \
  apply \
  --filename gcp-ccm.yaml
#  wait for the ccm to be up
kubectl \
  --kubeconfig kubeconfig \
  --namespace kube-system \
  rollout status \
  daemonset cloud-controller-manager

If the cloud controller manager is enabled, we need to restart the CNI pods to remove the node.kubernetes.io/network-unavailable taint.

# restart the CNI pods, in this case flannel
kubectl \
  --kubeconfig kubeconfig \
  --namespace kube-system \
  rollout restart \
  daemonset kube-flannel
# wait for the pods to be restarted
kubectl \
  --kubeconfig kubeconfig \
  --namespace kube-system \
  rollout status \
  daemonset kube-flannel

Check cluster status

kubectl \
  --kubeconfig kubeconfig \
  get nodes

Cleanup deployment

Warning: This will delete the deployment and all resources associated with it.

Run below if cloud controller manager is enabled

gcloud projects remove-iam-policy-binding \
    "${PROJECT}" \
    --member "serviceAccount:${SERVICE_ACCOUNT}" \
    --role roles/iam.serviceAccountUser

gcloud projects remove-iam-policy-binding \
    "${PROJECT}" \
    --member serviceAccount:"${SERVICE_ACCOUNT}" \
    --role roles/compute.admin

gcloud projects remove-iam-policy-binding \
    "${PROJECT}" \
    --member serviceAccount:"${SERVICE_ACCOUNT}" \
    --role roles/compute.loadBalancerAdmin

Now we can finally remove the deployment

# delete the objects in the bucket first
gsutil -m rm -r "gs://${BUCKET_NAME}"
gcloud deployment-manager deployments delete "${DEPLOYMENT_NAME}" --quiet

2.1.3.5 - Hetzner

Creating a cluster via the CLI (hcloud) on Hetzner.

Upload image

Hetzner Cloud does not support uploading custom images. You can email their support to get a Talos ISO uploaded by following issues:3599 or you can prepare image snapshot by yourself.

There are two options to upload your own.

  1. Run an instance in rescue mode and replace the system OS with the Talos image
  2. Use Hashicorp packer to prepare an image

Rescue mode

Create a new Server in the Hetzner console. Enable the Hetzner Rescue System for this server and reboot. Upon a reboot, the server will boot a special minimal Linux distribution designed for repair and reinstall. Once running, login to the server using ssh to prepare the system disk by doing the following:

# Check that you in Rescue mode
df

### Result is like:
# udev                   987432         0    987432   0% /dev
# 213.133.99.101:/nfs 308577696 247015616  45817536  85% /root/.oldroot/nfs
# overlay                995672      8340    987332   1% /
# tmpfs                  995672         0    995672   0% /dev/shm
# tmpfs                  398272       572    397700   1% /run
# tmpfs                    5120         0      5120   0% /run/lock
# tmpfs                  199132         0    199132   0% /run/user/0

# Download the Talos image
cd /tmp
wget -O /tmp/talos.raw.xz https://github.com/siderolabs/talos/releases/download/v1.2.8/hcloud-amd64.raw.xz
# Replace system
xz -d -c /tmp/talos.raw.xz | dd of=/dev/sda && sync
# shutdown the instance
shutdown -h now

To make sure disk content is consistent, it is recommended to shut the server down before taking an image (snapshot). Once shutdown, simply create an image (snapshot) from the console. You can now use this snapshot to run Talos on the cloud.

Packer

Install packer to the local machine.

Create a config file for packer to use:

# hcloud.pkr.hcl

packer {
  required_plugins {
    hcloud = {
      version = ">= 1.0.0"
      source  = "github.com/hashicorp/hcloud"
    }
  }
}

variable "talos_version" {
  type    = string
  default = "v1.2.8"
}

locals {
  image = "https://github.com/siderolabs/talos/releases/download/${var.talos_version}/hcloud-amd64.raw.xz"
}

source "hcloud" "talos" {
  rescue       = "linux64"
  image        = "debian-11"
  location     = "hel1"
  server_type  = "cx11"
  ssh_username = "root"

  snapshot_name = "talos system disk"
  snapshot_labels = {
    type    = "infra",
    os      = "talos",
    version = "${var.talos_version}",
  }
}

build {
  sources = ["source.hcloud.talos"]

  provisioner "shell" {
    inline = [
      "apt-get install -y wget",
      "wget -O /tmp/talos.raw.xz ${local.image}",
      "xz -d -c /tmp/talos.raw.xz | dd of=/dev/sda && sync",
    ]
  }
}

Create a new image by issuing the commands shown below. Note that to create a new API token for your Project, switch into the Hetzner Cloud Console choose a Project, go to Access → Security, and create a new token.

# First you need set API Token
export HCLOUD_TOKEN=${TOKEN}

# Upload image
packer init .
packer build .
# Save the image ID
export IMAGE_ID=<image-id-in-packer-output>

After doing this, you can find the snapshot in the console interface.

Creating a Cluster via the CLI

This section assumes you have the hcloud console utility on your local machine.

# Set hcloud context and api key
hcloud context create talos-tutorial

Create a Load Balancer

Create a load balancer by issuing the commands shown below. Save the IP/DNS name, as this info will be used in the next step.

hcloud load-balancer create --name controlplane --network-zone eu-central --type lb11 --label 'type=controlplane'

### Result is like:
# LoadBalancer 484487 created
# IPv4: 49.12.X.X
# IPv6: 2a01:4f8:X:X::1

hcloud load-balancer add-service controlplane \
    --listen-port 6443 --destination-port 6443 --protocol tcp
hcloud load-balancer add-target controlplane \
    --label-selector 'type=controlplane'

Create the Machine Configuration Files

Generating Base Configurations

Using the IP/DNS name of the loadbalancer created earlier, generate the base configuration files for the Talos machines by issuing:

$ talosctl gen config talos-k8s-hcloud-tutorial https://<load balancer IP or DNS>:6443
created controlplane.yaml
created worker.yaml
created talosconfig

At this point, you can modify the generated configs to your liking. Optionally, you can specify --config-patch with RFC6902 jsonpatches which will be applied during the config generation.

Validate the Configuration Files

Validate any edited machine configs with:

$ talosctl validate --config controlplane.yaml --mode cloud
controlplane.yaml is valid for cloud mode
$ talosctl validate --config worker.yaml --mode cloud
worker.yaml is valid for cloud mode

Create the Servers

We can now create our servers. Note that you can find IMAGE_ID in the snapshot section of the console: https://console.hetzner.cloud/projects/$PROJECT_ID/servers/snapshots.

Create the Control Plane Nodes

Create the control plane nodes with:

export IMAGE_ID=<your-image-id>

hcloud server create --name talos-control-plane-1 \
    --image ${IMAGE_ID} \
    --type cx21 --location hel1 \
    --label 'type=controlplane' \
    --user-data-from-file controlplane.yaml

hcloud server create --name talos-control-plane-2 \
    --image ${IMAGE_ID} \
    --type cx21 --location fsn1 \
    --label 'type=controlplane' \
    --user-data-from-file controlplane.yaml

hcloud server create --name talos-control-plane-3 \
    --image ${IMAGE_ID} \
    --type cx21 --location nbg1 \
    --label 'type=controlplane' \
    --user-data-from-file controlplane.yaml

Create the Worker Nodes

Create the worker nodes with the following command, repeating (and incrementing the name counter) as many times as desired.

hcloud server create --name talos-worker-1 \
    --image ${IMAGE_ID} \
    --type cx21 --location hel1 \
    --label 'type=worker' \
    --user-data-from-file worker.yaml

Bootstrap Etcd

To configure talosctl we will need the first control plane node’s IP. This can be found by issuing:

hcloud server list | grep talos-control-plane

Set the endpoints and nodes for your talosconfig with:

talosctl --talosconfig talosconfig config endpoint <control-plane-1-IP>
talosctl --talosconfig talosconfig config node <control-plane-1-IP>

Bootstrap etcd on the first control plane node with:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.3.6 - Nocloud

Creating a cluster via the CLI using qemu.

Talos supports nocloud data source implementation.

There are two ways to configure Talos server with nocloud platform:

  • via SMBIOS “serial number” option
  • using CDROM or USB-flash filesystem

SMBIOS Serial Number

This method requires the network connection to be up (e.g. via DHCP). Configuration is delivered from the HTTP server.

ds=nocloud-net;s=http://10.10.0.1/configs/;h=HOSTNAME

After the network initialization is complete, Talos fetches:

  • the machine config from http://10.10.0.1/configs/user-data
  • the network config (if available) from http://10.10.0.1/configs/network-config

SMBIOS: QEMU

Add the following flag to qemu command line when starting a VM:

qemu-system-x86_64 \
  ...\
  -smbios type=1,serial=ds=nocloud-net;s=http://10.10.0.1/configs/

SMBIOS: Proxmox

Set the source machine config through the serial number on Proxmox GUI.

The Proxmox stores the VM config at /etc/pve/qemu-server/$ID.conf ($ID - VM ID number of virtual machine), you will see something like:

...
smbios1: uuid=ceae4d10,serial=ZHM9bm9jbG91ZC1uZXQ7cz1odHRwOi8vMTAuMTAuMC4xL2NvbmZpZ3Mv,base64=1
...

Where serial holds the base64-encoded string version of ds=nocloud-net;s=http://10.10.0.1/configs/.

CDROM/USB

Talos can also get machine config from local attached storage without any prior network connection being established.

You can provide configs to the server via files on a VFAT or ISO9660 filesystem. The filesystem volume label must be cidata or CIDATA.

Example: QEMU

Create and prepare Talos machine config:

export CONTROL_PLANE_IP=192.168.1.10

talosctl gen config talos-nocloud https://$CONTROL_PLANE_IP:6443 --output-dir _out

Prepare cloud-init configs:

mkdir -p iso
mv _out/controlplane.yaml iso/user-data
echo "local-hostname: controlplane-1" > iso/meta-data
cat > iso/network-config << EOF
version: 1
config:
   - type: physical
     name: eth0
     mac_address: "52:54:00:12:34:00"
     subnets:
        - type: static
          address: 192.168.1.10
          netmask: 255.255.255.0
          gateway: 192.168.1.254
EOF

Create cloud-init iso image

cd iso && genisoimage -output cidata.iso -V cidata -r -J user-data meta-data network-config

Start the VM

qemu-system-x86_64 \
    ...
    -cdrom iso/cidata.iso \
    ...

Example: Proxmox

Proxmox can create cloud-init disk for you. Edit the cloud-init config information in Proxmox as follows, substitute your own information as necessary:

and then update cicustom param at /etc/pve/qemu-server/$ID.conf.

cicustom: user=local:snippets/controlplane-1.yml
ipconfig0: ip=192.168.1.10/24,gw=192.168.10.254
nameserver: 1.1.1.1
searchdomain: local

Note: snippets/controlplane-1.yml is Talos machine config. It is usually located at /var/lib/vz/snippets/controlplane-1.yml. This file must be placed to this path manually, as Proxmox does not support snippet uploading via API/GUI.

Click on Regenerate Image button after the above changes are made.

2.1.3.7 - OpenStack

Creating a cluster via the CLI on OpenStack.

Creating a Cluster via the CLI

In this guide, we will create an HA Kubernetes cluster in OpenStack with 1 worker node. We will assume an existing some familiarity with OpenStack. If you need more information on OpenStack specifics, please see the official OpenStack documentation.

Environment Setup

You should have an existing openrc file. This file will provide environment variables necessary to talk to your OpenStack cloud. See here for instructions on fetching this file.

Create the Image

First, download the OpenStack image from a Talos release. These images are called openstack-$ARCH.tar.gz. Untar this file with tar -xvf openstack-$ARCH.tar.gz. The resulting file will be called disk.raw.

Upload the Image

Once you have the image, you can upload to OpenStack with:

openstack image create --public --disk-format raw --file disk.raw talos

Network Infrastructure

Load Balancer and Network Ports

Once the image is prepared, you will need to work through setting up the network. Issue the following to create a load balancer, the necessary network ports for each control plane node, and associations between the two.

Creating loadbalancer:

# Create load balancer, updating vip-subnet-id if necessary
openstack loadbalancer create --name talos-control-plane --vip-subnet-id public

# Create listener
openstack loadbalancer listener create --name talos-control-plane-listener --protocol TCP --protocol-port 6443 talos-control-plane

# Pool and health monitoring
openstack loadbalancer pool create --name talos-control-plane-pool --lb-algorithm ROUND_ROBIN --listener talos-control-plane-listener --protocol TCP
openstack loadbalancer healthmonitor create --delay 5 --max-retries 4 --timeout 10 --type TCP talos-control-plane-pool

Creating ports:

# Create ports for control plane nodes, updating network name if necessary
openstack port create --network shared talos-control-plane-1
openstack port create --network shared talos-control-plane-2
openstack port create --network shared talos-control-plane-3

# Create floating IPs for the ports, so that you will have talosctl connectivity to each control plane
openstack floating ip create --port talos-control-plane-1 public
openstack floating ip create --port talos-control-plane-2 public
openstack floating ip create --port talos-control-plane-3 public

Note: Take notice of the private and public IPs associated with each of these ports, as they will be used in the next step. Additionally, take node of the port ID, as it will be used in server creation.

Associate port’s private IPs to loadbalancer:

# Create members for each port IP, updating subnet-id and address as necessary.
openstack loadbalancer member create --subnet-id shared-subnet --address <PRIVATE IP OF talos-control-plane-1 PORT> --protocol-port 6443 talos-control-plane-pool
openstack loadbalancer member create --subnet-id shared-subnet --address <PRIVATE IP OF talos-control-plane-2 PORT> --protocol-port 6443 talos-control-plane-pool
openstack loadbalancer member create --subnet-id shared-subnet --address <PRIVATE IP OF talos-control-plane-3 PORT> --protocol-port 6443 talos-control-plane-pool

Security Groups

This example uses the default security group in OpenStack. Ports have been opened to ensure that connectivity from both inside and outside the group is possible. You will want to allow, at a minimum, ports 6443 (Kubernetes API server) and 50000 (Talos API) from external sources. It is also recommended to allow communication over all ports from within the subnet.

Cluster Configuration

With our networking bits setup, we’ll fetch the IP for our load balancer and create our configuration files.

LB_PUBLIC_IP=$(openstack loadbalancer show talos-control-plane -f json | jq -r .vip_address)

talosctl gen config talos-k8s-openstack-tutorial https://${LB_PUBLIC_IP}:6443

Additionally, you can specify --config-patch with RFC6902 jsonpatch which will be applied during the config generation.

Compute Creation

We are now ready to create our OpenStack nodes.

Create control plane:

# Create control planes 2 and 3, substituting the same info.
for i in $( seq 1 3 ); do
  openstack server create talos-control-plane-$i --flavor m1.small --nic port-id=talos-control-plane-$i --image talos --user-data /path/to/controlplane.yaml
done

Create worker:

# Update network name as necessary.
openstack server create talos-worker-1 --flavor m1.small --network shared --image talos --user-data /path/to/worker.yaml

Note: This step can be repeated to add more workers.

Bootstrap Etcd

You should now be able to interact with your cluster with talosctl. We will use one of the floating IPs we allocated earlier. It does not matter which one.

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.3.8 - Oracle

Creating a cluster via the CLI (oci) on OracleCloud.com.

Upload image

Oracle Cloud at the moment does not have a Talos official image. So you can use Bring Your Own Image (BYOI) approach.

Once the image is uploaded, set the Boot volume type to Paravirtualized mode.

OracleCloud has highly available NTP service, it can be enabled in Talos machine config with:

machine:
  time:
    servers:
      - 169.254.169.254

Creating a Cluster via the CLI

Login to the console. And open the Cloud Shell.

Create a network

export cidr_block=10.0.0.0/16
export subnet_block=10.0.0.0/24
export compartment_id=<substitute-value-of-compartment_id> # https://docs.cloud.oracle.com/en-us/iaas/tools/oci-cli/latest/oci_cli_docs/cmdref/network/vcn/create.html#cmdoption-compartment-id

export vcn_id=$(oci network vcn create --cidr-block $cidr_block --display-name talos-example --compartment-id $compartment_id --query data.id --raw-output)
export rt_id=$(oci network subnet create --cidr-block $subnet_block --display-name kubernetes --compartment-id $compartment_id --vcn-id $vcn_id --query data.route-table-id --raw-output)
export ig_id=$(oci network internet-gateway create --compartment-id $compartment_id --is-enabled true --vcn-id $vcn_id --query data.id --raw-output)

oci network route-table update --rt-id $rt_id --route-rules "[{\"cidrBlock\":\"0.0.0.0/0\",\"networkEntityId\":\"$ig_id\"}]" --force

# disable firewall
export sl_id=$(oci network vcn list --compartment-id $compartment_id --query 'data[0]."default-security-list-id"' --raw-output)

oci network security-list update --security-list-id $sl_id --egress-security-rules '[{"destination": "0.0.0.0/0", "protocol": "all", "isStateless": false}]' --ingress-security-rules '[{"source": "0.0.0.0/0", "protocol": "all", "isStateless": false}]' --force

Create a Load Balancer

Create a load balancer by issuing the commands shown below. Save the IP/DNS name, as this info will be used in the next step.

export subnet_id=$(oci network subnet list --compartment-id=$compartment_id --display-name kubernetes --query data[0].id --raw-output)
export network_load_balancer_id=$(oci nlb network-load-balancer create --compartment-id $compartment_id --display-name controlplane-lb --subnet-id $subnet_id --is-preserve-source-destination false --is-private false --query data.id --raw-output)

cat <<EOF > talos-health-checker.json
{
  "intervalInMillis": 10000,
  "port": 50000,
  "protocol": "TCP"
}
EOF

oci nlb backend-set create --health-checker file://talos-health-checker.json --name talos --network-load-balancer-id $network_load_balancer_id --policy TWO_TUPLE --is-preserve-source false
oci nlb listener create --default-backend-set-name talos --name talos --network-load-balancer-id $network_load_balancer_id --port 50000 --protocol TCP

cat <<EOF > controlplane-health-checker.json
{
  "intervalInMillis": 10000,
  "port": 6443,
  "protocol": "HTTPS",
  "returnCode": 200,
  "urlPath": "/readyz"
}
EOF

oci nlb backend-set create --health-checker file://controlplane-health-checker.json --name controlplane --network-load-balancer-id $network_load_balancer_id --policy TWO_TUPLE --is-preserve-source false
oci nlb listener create --default-backend-set-name controlplane --name controlplane --network-load-balancer-id $network_load_balancer_id --port 6443 --protocol TCP

# Save the external IP
oci nlb network-load-balancer list --compartment-id $compartment_id --display-name controlplane-lb --query 'data.items[0]."ip-addresses"'

Create the Machine Configuration Files

Generating Base Configurations

Using the IP/DNS name of the loadbalancer created earlier, generate the base configuration files for the Talos machines by issuing:

$ talosctl gen config talos-k8s-oracle-tutorial https://<load balancer IP or DNS>:6443 --additional-sans <load balancer IP or DNS>
created controlplane.yaml
created worker.yaml
created talosconfig

At this point, you can modify the generated configs to your liking. Optionally, you can specify --config-patch with RFC6902 jsonpatches which will be applied during the config generation.

Validate the Configuration Files

Validate any edited machine configs with:

$ talosctl validate --config controlplane.yaml --mode cloud
controlplane.yaml is valid for cloud mode
$ talosctl validate --config worker.yaml --mode cloud
worker.yaml is valid for cloud mode

Create the Servers

Create the Control Plane Nodes

Create the control plane nodes with:

export shape='VM.Standard.A1.Flex'
export subnet_id=$(oci network subnet list --compartment-id=$compartment_id --display-name kubernetes --query data[0].id --raw-output)
export image_id=$(oci compute image list --compartment-id $compartment_id --shape $shape --operating-system Talos --limit 1 --query data[0].id --raw-output)
export availability_domain=$(oci iam availability-domain list --compartment-id=$compartment_id --query data[0].name --raw-output)
export network_load_balancer_id=$(oci nlb network-load-balancer list --compartment-id $compartment_id --display-name controlplane-lb --query 'data.items[0].id' --raw-output)

cat <<EOF > shape.json
{
  "memoryInGBs": 4,
  "ocpus": 1
}
EOF

export instance_id=$(oci compute instance launch --shape $shape --shape-config file://shape.json --availability-domain $availability_domain --compartment-id $compartment_id --image-id $image_id --subnet-id $subnet_id --display-name controlplane-1 --private-ip 10.0.0.11 --assign-public-ip true --launch-options '{"networkType":"PARAVIRTUALIZED"}' --user-data-file controlplane.yaml --query 'data.id' --raw-output)

oci nlb backend create --backend-set-name talos --network-load-balancer-id $network_load_balancer_id --port 50000 --target-id $instance_id
oci nlb backend create --backend-set-name controlplane --network-load-balancer-id $network_load_balancer_id --port 6443 --target-id $instance_id

export instance_id=$(oci compute instance launch --shape $shape --shape-config file://shape.json --availability-domain $availability_domain --compartment-id $compartment_id --image-id $image_id --subnet-id $subnet_id --display-name controlplane-2 --private-ip 10.0.0.12 --assign-public-ip true --launch-options '{"networkType":"PARAVIRTUALIZED"}' --user-data-file controlplane.yaml --query 'data.id' --raw-output)

oci nlb backend create --backend-set-name talos --network-load-balancer-id $network_load_balancer_id --port 50000 --target-id $instance_id
oci nlb backend create --backend-set-name controlplane --network-load-balancer-id $network_load_balancer_id --port 6443 --target-id $instance_id

export instance_id=$(oci compute instance launch --shape $shape --shape-config file://shape.json --availability-domain $availability_domain --compartment-id $compartment_id --image-id $image_id --subnet-id $subnet_id --display-name controlplane-3 --private-ip 10.0.0.13 --assign-public-ip true --launch-options '{"networkType":"PARAVIRTUALIZED"}' --user-data-file controlplane.yaml --query 'data.id' --raw-output)

oci nlb backend create --backend-set-name talos --network-load-balancer-id $network_load_balancer_id --port 50000 --target-id $instance_id
oci nlb backend create --backend-set-name controlplane --network-load-balancer-id $network_load_balancer_id --port 6443 --target-id $instance_id

Create the Worker Nodes

Create the worker nodes with the following command, repeating (and incrementing the name counter) as many times as desired.

export subnet_id=$(oci network subnet list --compartment-id=$compartment_id --display-name kubernetes --query data[0].id --raw-output)
export image_id=$(oci compute image list --compartment-id $compartment_id --operating-system Talos --limit 1 --query data[0].id --raw-output)
export availability_domain=$(oci iam availability-domain list --compartment-id=$compartment_id --query data[0].name --raw-output)
export shape='VM.Standard.E2.1.Micro'

oci compute instance launch --shape $shape --availability-domain $availability_domain --compartment-id $compartment_id --image-id $image_id --subnet-id $subnet_id --display-name worker-1 --assign-public-ip true --user-data-file worker.yaml

oci compute instance launch --shape $shape --availability-domain $availability_domain --compartment-id $compartment_id --image-id $image_id --subnet-id $subnet_id --display-name worker-2 --assign-public-ip true --user-data-file worker.yaml

oci compute instance launch --shape $shape --availability-domain $availability_domain --compartment-id $compartment_id --image-id $image_id --subnet-id $subnet_id --display-name worker-3 --assign-public-ip true --user-data-file worker.yaml

Bootstrap Etcd

To configure talosctl we will need the first control plane node’s IP. This can be found by issuing:

export instance_id=$(oci compute instance list --compartment-id $compartment_id --display-name controlplane-1 --query 'data[0].id' --raw-output)

oci compute instance list-vnics --instance-id $instance_id --query 'data[0]."private-ip"' --raw-output

Set the endpoints and nodes for your talosconfig with:

talosctl --talosconfig talosconfig config endpoint <load balancer IP or DNS>
talosctl --talosconfig talosconfig config node <control-plane-1-IP>

Bootstrap etcd on the first control plane node with:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig .

2.1.3.9 - Scaleway

Creating a cluster via the CLI (scw) on scaleway.com.

Talos is known to work on scaleway.com; however, it is currently undocumented.

2.1.3.10 - UpCloud

Creating a cluster via the CLI (upctl) on UpCloud.com.

In this guide we will create an HA Kubernetes cluster 3 control plane nodes and 1 worker node. We assume some familiarity with UpCloud. If you need more information on UpCloud specifics, please see the official UpCloud documentation.

Create the Image

The best way to create an image for UpCloud, is to build one using Hashicorp packer, with the upcloud-amd64.raw.xz image found on the Talos Releases. Using the general ISO is also possible, but the UpCloud image has some UpCloud specific features implemented, such as the fetching of metadata and user data to configure the nodes.

To create the cluster, you need a few things locally installed:

  1. UpCloud CLI
  2. Hashicorp Packer

NOTE: Make sure your account allows API connections. To do so, log into UpCloud control panel and go to People -> Account -> Permissions -> Allow API connections checkbox. It is recommended to create a separate subaccount for your API access and only set the API permission.

To use the UpCloud CLI, you need to create a config in $HOME/.config/upctl.yaml

username: your_upcloud_username
password: your_upcloud_password

To use the UpCloud packer plugin, you need to also export these credentials to your environment variables, by e.g. putting the following in your .bashrc or .zshrc

export UPCLOUD_USERNAME="<username>"
export UPCLOUD_PASSWORD="<password>"

Next create a config file for packer to use:

# upcloud.pkr.hcl

packer {
  required_plugins {
    upcloud = {
      version = ">=v1.0.0"
      source  = "github.com/UpCloudLtd/upcloud"
    }
  }
}

variable "talos_version" {
  type    = string
  default = "v1.2.8"
}

locals {
  image = "https://github.com/siderolabs/talos/releases/download/${var.talos_version}/upcloud-amd64.raw.xz"
}

variable "username" {
  type        = string
  description = "UpCloud API username"
  default     = "${env("UPCLOUD_USERNAME")}"
}

variable "password" {
  type        = string
  description = "UpCloud API password"
  default     = "${env("UPCLOUD_PASSWORD")}"
  sensitive   = true
}

source "upcloud" "talos" {
  username        = "${var.username}"
  password        = "${var.password}"
  zone            = "us-nyc1"
  storage_name    = "Debian GNU/Linux 11 (Bullseye)"
  template_name   = "Talos (${var.talos_version})"
}

build {
  sources = ["source.upcloud.talos"]

  provisioner "shell" {
    inline = [
      "apt-get install -y wget xz-utils",
      "wget -q -O /tmp/talos.raw.xz ${local.image}",
      "xz -d -c /tmp/talos.raw.xz | dd of=/dev/vda",
    ]
  }

  provisioner "shell-local" {
      inline = [
      "upctl server stop --type hard custom",
      ]
  }
}

Now create a new image by issuing the commands shown below.

packer init .
packer build .

After doing this, you can find the custom image in the console interface under storage.

Creating a Cluster via the CLI

Create an Endpoint

To communicate with the Talos cluster you will need a single endpoint that is used to access the cluster. This can either be a loadbalancer that will sit in front of all your control plane nodes, a DNS name with one or more A or AAAA records pointing to the control plane nodes, or directly the IP of a control plane node.

Which option is best for you will depend on your needs. Endpoint selection has been further documented here.

After you decide on which endpoint to use, note down the domain name or IP, as we will need it in the next step.

Create the Machine Configuration Files

Generating Base Configurations

Using the DNS name of the endpoint created earlier, generate the base configuration files for the Talos machines:

$ talosctl gen config talos-upcloud-tutorial https://<load balancer IP or DNS>:<port> --install-disk /dev/vda
created controlplane.yaml
created worker.yaml
created talosconfig

At this point, you can modify the generated configs to your liking. Depending on the Kubernetes version you want to run, you might need to select a different Talos version, as not all versions are compatible. You can find the support matrix here.

Optionally, you can specify --config-patch with RFC6902 jsonpatch or yamlpatch which will be applied during the config generation.

Validate the Configuration Files

$ talosctl validate --config controlplane.yaml --mode cloud
controlplane.yaml is valid for cloud mode
$ talosctl validate --config worker.yaml --mode cloud
worker.yaml is valid for cloud mode

Create the Servers

Create the Control Plane Nodes

Run the following to create three total control plane nodes:

for ID in $(seq 3); do
    upctl server create \
      --zone us-nyc1 \
      --title talos-us-nyc1-master-$ID \
      --hostname talos-us-nyc1-master-$ID \
      --plan 2xCPU-4GB \
      --os "Talos (v1.2.8)" \
      --user-data "$(cat controlplane.yaml)" \
      --enable-metada
done

Note: modify the zone and OS depending on your preferences. The OS should match the template name generated with packer in the previous step.

Note the IP address of the first control plane node, as we will need it later.

Create the Worker Nodes

Run the following to create a worker node:

upctl server create \
  --zone us-nyc1 \
  --title talos-us-nyc1-worker-1 \
  --hostname talos-us-nyc1-worker-1 \
  --plan 2xCPU-4GB \
  --os "Talos (v1.2.8)" \
  --user-data "$(cat worker.yaml)" \
  --enable-metada

Bootstrap Etcd

To configure talosctl we will need the first control plane node’s IP, as noted earlier. We only add one node IP, as that is the entry into our cluster against which our commands will be run. All requests to other nodes are proxied through the endpoint, and therefore not all nodes need to be manually added to the config. You don’t want to run your commands against all nodes, as this can destroy your cluster if you are not careful (further documentation).

Set the endpoints and nodes:

talosctl --talosconfig talosconfig config endpoint <control plane 1 IP>
talosctl --talosconfig talosconfig config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig talosconfig bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig talosconfig kubeconfig

It will take a few minutes before Kubernetes has been fully bootstrapped, and is accessible.

You can check if the nodes are registered in Talos by running

talosctl --talosconfig talosconfig get members

To check if your nodes are ready, run

kubectl get nodes

2.1.3.11 - Vultr

Creating a cluster via the CLI (vultr-cli) on Vultr.com.

Creating a Cluster using the Vultr CLI

This guide will demonstrate how to create a highly-available Kubernetes cluster with one worker using the Vultr cloud provider.

Vultr have a very well documented REST API, and an open-source CLI tool to interact with the API which will be used in this guide. Make sure to follow installation and authentication instructions for the vultr-cli tool.

Upload image

First step is to make the Talos ISO available to Vultr by uploading the latest release of the ISO to the Vultr ISO server.

vultr-cli iso create --url https://github.com/siderolabs/talos/releases/download/v1.2.8/talos-amd64.iso

Make a note of the ID in the output, it will be needed later when creating the instances.

Create a Load Balancer

A load balancer is needed to serve as the Kubernetes endpoint for the cluster.

vultr-cli load-balancer create \
   --region $REGION \
   --label "Talos Kubernetes Endpoint" \
   --port 6443 \
   --protocol tcp \
   --check-interval 10 \
   --response-timeout 5 \
   --healthy-threshold 5 \
   --unhealthy-threshold 3 \
   --forwarding-rules frontend_protocol:tcp,frontend_port:443,backend_protocol:tcp,backend_port:6443

Make a note of the ID of the load balancer from the output of the above command, it will be needed after the control plane instances are created.

vultr-cli load-balancer get $LOAD_BALANCER_ID | grep ^IP

Make a note of the IP address, it will be needed later when generating the configuration.

Create the Machine Configuration

Generate Base Configuration

Using the IP address (or DNS name if one was created) of the load balancer created above, generate the machine configuration files for the new cluster.

talosctl gen config talos-kubernetes-vultr https://$LOAD_BALANCER_ADDRESS

Once generated, the machine configuration can be modified as necessary for the new cluster, for instance updating disk installation, or adding SANs for the certificates.

Validate the Configuration Files

talosctl validate --config controlplane.yaml --mode cloud
talosctl validate --config worker.yaml --mode cloud

Create the Nodes

Create the Control Plane Nodes

First a control plane needs to be created, with the example below creating 3 instances in a loop. The instance type (noted by the --plan vc2-2c-4gb argument) in the example is for a minimum-spec control plane node, and should be updated to suit the cluster being created.

for id in $(seq 3); do
    vultr-cli instance create \
        --plan vc2-2c-4gb \
        --region $REGION \
        --iso $TALOS_ISO_ID \
        --host talos-k8s-cp${id} \
        --label "Talos Kubernetes Control Plane" \
        --tags talos,kubernetes,control-plane
done

Make a note of the instance IDs, as they are needed to attach to the load balancer created earlier.

vultr-cli load-balancer update $LOAD_BALANCER_ID --instances $CONTROL_PLANE_1_ID,$CONTROL_PLANE_2_ID,$CONTROL_PLANE_3_ID

Once the nodes are booted and waiting in maintenance mode, the machine configuration can be applied to each one in turn.

talosctl --talosconfig talosconfig apply-config --insecure --nodes $CONTROL_PLANE_1_ADDRESS --file controlplane.yaml
talosctl --talosconfig talosconfig apply-config --insecure --nodes $CONTROL_PLANE_2_ADDRESS --file controlplane.yaml
talosctl --talosconfig talosconfig apply-config --insecure --nodes $CONTROL_PLANE_3_ADDRESS --file controlplane.yaml

Create the Worker Nodes

Now worker nodes can be created and configured in a similar way to the control plane nodes, the difference being mainly in the machine configuration file. Note that like with the control plane nodes, the instance type (here set by --plan vc2-1-1gb) should be changed for the actual cluster requirements.

for id in $(seq 1); do
    vultr-cli instance create \
        --plan vc2-1c-1gb \
        --region $REGION \
        --iso $TALOS_ISO_ID \
        --host talos-k8s-worker${id} \
        --label "Talos Kubernetes Worker" \
        --tags talos,kubernetes,worker
done

Once the worker is booted and in maintenance mode, the machine configuration can be applied in the following manner.

talosctl --talosconfig talosconfig apply-config --insecure --nodes $WORKER_1_ADDRESS --file worker.yaml

Bootstrap etcd

Once all the cluster nodes are correctly configured, the cluster can be bootstrapped to become functional. It is important that the talosctl bootstrap command be executed only once and against only a single control plane node.

talosctl --talosconfig talosconfig boostrap --endpoints $CONTROL_PLANE_1_ADDRESS --nodes $CONTROL_PLANE_1_ADDRESS

Configure Endpoints and Nodes

While the cluster goes through the bootstrapping process and beings to self-manage, the talosconfig can be updated with the endpoints and nodes.

talosctl --talosconfig talosconfig config endpoints $CONTROL_PLANE_1_ADDRESS $CONTROL_PLANE_2_ADDRESS $CONTROL_PLANE_3_ADDRESS
talosctl --talosconfig talosconfig config nodes $CONTROL_PLANE_1_ADDRESS $CONTROL_PLANE_2_ADDRESS $CONTROL_PLANE_3_ADDRESS WORKER_1_ADDRESS

Retrieve the kubeconfig

Finally, with the cluster fully running, the administrative kubeconfig can be retrieved from the Talos API to be saved locally.

talosctl --talosconfig talosconfig kubeconfig .

Now the kubeconfig can be used by any of the usual Kubernetes tools to interact with the Talos-based Kubernetes cluster as normal.

2.1.4 - Local Platforms

Installation of Talos Linux on local platforms, helpful for testing and developing.

2.1.4.1 - Docker

Creating Talos Kubernetes cluster using Docker.

In this guide we will create a Kubernetes cluster in Docker, using a containerized version of Talos.

Running Talos in Docker is intended to be used in CI pipelines, and local testing when you need a quick and easy cluster. Furthermore, if you are running Talos in production, it provides an excellent way for developers to develop against the same version of Talos.

Requirements

The follow are requirements for running Talos in Docker:

  • Docker 18.03 or greater
  • a recent version of talosctl

Caveats

Due to the fact that Talos will be running in a container, certain APIs are not available. For example upgrade, reset, and similar APIs don’t apply in container mode. Further, when running on a Mac in docker, due to networking limitations, VIPs are not supported.

Create the Cluster

Creating a local cluster is as simple as:

talosctl cluster create --wait

Once the above finishes successfully, your talosconfig(~/.talos/config) will be configured to point to the new cluster.

Note: Startup times can take up to a minute or more before the cluster is available.

Finally, we just need to specify which nodes you want to communicate with using talosctl. Talosctl can operate on one or all the nodes in the cluster – this makes cluster wide commands much easier.

talosctl config nodes 10.5.0.2 10.5.0.3

Using the Cluster

Once the cluster is available, you can make use of talosctl and kubectl to interact with the cluster. For example, to view current running containers, run talosctl containers for a list of containers in the system namespace, or talosctl containers -k for the k8s.io namespace. To view the logs of a container, use talosctl logs <container> or talosctl logs -k <container>.

Cleaning Up

To cleanup, run:

talosctl cluster destroy

2.1.4.2 - QEMU

Creating Talos Kubernetes cluster using QEMU VMs.

In this guide we will create a Kubernetes cluster using QEMU.

Video Walkthrough

To see a live demo of this writeup, see the video below:

Requirements

  • Linux
  • a kernel with
    • KVM enabled (/dev/kvm must exist)
    • CONFIG_NET_SCH_NETEM enabled
    • CONFIG_NET_SCH_INGRESS enabled
  • at least CAP_SYS_ADMIN and CAP_NET_ADMIN capabilities
  • QEMU
  • bridge, static and firewall CNI plugins from the standard CNI plugins, and tc-redirect-tap CNI plugin from the awslabs tc-redirect-tap installed to /opt/cni/bin (installed automatically by talosctl)
  • iptables
  • /var/run/netns directory should exist

Installation

How to get QEMU

Install QEMU with your operating system package manager. For example, on Ubuntu for x86:

apt install qemu-system-x86 qemu-kvm

Install talosctl

You can download talosctl and all required binaries via github.com/siderolabs/talos/releases

curl https://github.com/siderolabs/talos/releases/download/<version>/talosctl-<platform>-<arch> -L -o talosctl

For example version v1.2.8 for linux platform:

curl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-linux-amd64 -L -o talosctl
sudo cp talosctl /usr/local/bin
sudo chmod +x /usr/local/bin/talosctl

Install Talos kernel and initramfs

QEMU provisioner depends on Talos kernel (vmlinuz) and initramfs (initramfs.xz). These files can be downloaded from the Talos release:

mkdir -p _out/
curl https://github.com/siderolabs/talos/releases/download/<version>/vmlinuz-<arch> -L -o _out/vmlinuz-<arch>
curl https://github.com/siderolabs/talos/releases/download/<version>/initramfs-<arch>.xz -L -o _out/initramfs-<arch>.xz

For example version v1.2.8:

curl https://github.com/siderolabs/talos/releases/download/v1.2.8/vmlinuz-amd64 -L -o _out/vmlinuz-amd64
curl https://github.com/siderolabs/talos/releases/download/v1.2.8/initramfs-amd64.xz -L -o _out/initramfs-amd64.xz

Create the Cluster

For the first time, create root state directory as your user so that you can inspect the logs as non-root user:

mkdir -p ~/.talos/clusters

Create the cluster:

sudo --preserve-env=HOME talosctl cluster create --provisioner qemu

Before the first cluster is created, talosctl will download the CNI bundle for the VM provisioning and install it to ~/.talos/cni directory.

Once the above finishes successfully, your talosconfig (~/.talos/config) will be configured to point to the new cluster, and kubeconfig will be downloaded and merged into default kubectl config location (~/.kube/config).

Cluster provisioning process can be optimized with registry pull-through caches.

Using the Cluster

Once the cluster is available, you can make use of talosctl and kubectl to interact with the cluster. For example, to view current running containers, run talosctl -n 10.5.0.2 containers for a list of containers in the system namespace, or talosctl -n 10.5.0.2 containers -k for the k8s.io namespace. To view the logs of a container, use talosctl -n 10.5.0.2 logs <container> or talosctl -n 10.5.0.2 logs -k <container>.

A bridge interface will be created, and assigned the default IP 10.5.0.1. Each node will be directly accessible on the subnet specified at cluster creation time. A loadbalancer runs on 10.5.0.1 by default, which handles loadbalancing for the Kubernetes APIs.

You can see a summary of the cluster state by running:

$ talosctl cluster show --provisioner qemu
PROVISIONER       qemu
NAME              talos-default
NETWORK NAME      talos-default
NETWORK CIDR      10.5.0.0/24
NETWORK GATEWAY   10.5.0.1
NETWORK MTU       1500

NODES:

NAME                           TYPE           IP         CPU    RAM      DISK
talos-default-controlplane-1   ControlPlane   10.5.0.2   1.00   1.6 GB   4.3 GB
talos-default-controlplane-2   ControlPlane   10.5.0.3   1.00   1.6 GB   4.3 GB
talos-default-controlplane-3   ControlPlane   10.5.0.4   1.00   1.6 GB   4.3 GB
talos-default-worker-1         Worker         10.5.0.5   1.00   1.6 GB   4.3 GB

Cleaning Up

To cleanup, run:

sudo --preserve-env=HOME talosctl cluster destroy --provisioner qemu

Note: In that case that the host machine is rebooted before destroying the cluster, you may need to manually remove ~/.talos/clusters/talos-default.

Manual Clean Up

The talosctl cluster destroy command depends heavily on the clusters state directory. It contains all related information of the cluster. The PIDs and network associated with the cluster nodes.

If you happened to have deleted the state folder by mistake or you would like to cleanup the environment, here are the steps how to do it manually:

Remove VM Launchers

Find the process of talosctl qemu-launch:

ps -elf | grep 'talosctl qemu-launch'

To remove the VMs manually, execute:

sudo kill -s SIGTERM <PID>

Example output, where VMs are running with PIDs 157615 and 157617

ps -elf | grep '[t]alosctl qemu-launch'
0 S root      157615    2835  0  80   0 - 184934 -     07:53 ?        00:00:00 talosctl qemu-launch
0 S root      157617    2835  0  80   0 - 185062 -     07:53 ?        00:00:00 talosctl qemu-launch
sudo kill -s SIGTERM 157615
sudo kill -s SIGTERM 157617

Stopping VMs

Find the process of qemu-system:

ps -elf | grep 'qemu-system'

To stop the VMs manually, execute:

sudo kill -s SIGTERM <PID>

Example output, where VMs are running with PIDs 158065 and 158216

ps -elf | grep qemu-system
2 S root     1061663 1061168 26  80   0 - 1786238 -    14:05 ?        01:53:56 qemu-system-x86_64 -m 2048 -drive format=raw,if=virtio,file=/home/username/.talos/clusters/talos-default/bootstrap-master.disk -smp cpus=2 -cpu max -nographic -netdev tap,id=net0,ifname=tap0,script=no,downscript=no -device virtio-net-pci,netdev=net0,mac=1e:86:c6:b4:7c:c4 -device virtio-rng-pci -no-reboot -boot order=cn,reboot-timeout=5000 -smbios type=1,uuid=7ec0a73c-826e-4eeb-afd1-39ff9f9160ca -machine q35,accel=kvm
2 S root     1061663 1061170 67  80   0 - 621014 -     21:23 ?        00:00:07 qemu-system-x86_64 -m 2048 -drive format=raw,if=virtio,file=/homeusername/.talos/clusters/talos-default/pxe-1.disk -smp cpus=2 -cpu max -nographic -netdev tap,id=net0,ifname=tap0,script=no,downscript=no -device virtio-net-pci,netdev=net0,mac=36:f3:2f:c3:9f:06 -device virtio-rng-pci -no-reboot -boot order=cn,reboot-timeout=5000 -smbios type=1,uuid=ce12a0d0-29c8-490f-b935-f6073ab916a6 -machine q35,accel=kvm
sudo kill -s SIGTERM 1061663
sudo kill -s SIGTERM 1061663

Remove load balancer

Find the process of talosctl loadbalancer-launch:

ps -elf | grep 'talosctl loadbalancer-launch'

To remove the LB manually, execute:

sudo kill -s SIGTERM <PID>

Example output, where loadbalancer is running with PID 157609

ps -elf | grep '[t]alosctl loadbalancer-launch'
4 S root      157609    2835  0  80   0 - 184998 -     07:53 ?        00:00:07 talosctl loadbalancer-launch --loadbalancer-addr 10.5.0.1 --loadbalancer-upstreams 10.5.0.2
sudo kill -s SIGTERM 157609

Remove DHCP server

Find the process of talosctl dhcpd-launch:

ps -elf | grep 'talosctl dhcpd-launch'

To remove the LB manually, execute:

sudo kill -s SIGTERM <PID>

Example output, where loadbalancer is running with PID 157609

ps -elf | grep '[t]alosctl dhcpd-launch'
4 S root      157609    2835  0  80   0 - 184998 -     07:53 ?        00:00:07 talosctl dhcpd-launch --state-path /home/username/.talos/clusters/talos-default --addr 10.5.0.1 --interface talosbd9c32bc
sudo kill -s SIGTERM 157609

Remove network

This is more tricky part as if you have already deleted the state folder. If you didn’t then it is written in the state.yaml in the ~/.talos/clusters/<cluster-name> directory.

sudo cat ~/.talos/clusters/<cluster-name>/state.yaml | grep bridgename
bridgename: talos<uuid>

If you only had one cluster, then it will be the interface with name talos<uuid>

46: talos<uuid>: <NO-CARRIER,BROADCAST,MULTICAST,UP> mtu 1500 qdisc noqueue state DOWN group default qlen 1000
    link/ether a6:72:f4:0a:d3:9c brd ff:ff:ff:ff:ff:ff
    inet 10.5.0.1/24 brd 10.5.0.255 scope global talos17c13299
       valid_lft forever preferred_lft forever
    inet6 fe80::a472:f4ff:fe0a:d39c/64 scope link
       valid_lft forever preferred_lft forever

To remove this interface:

sudo ip link del talos<uuid>

Remove state directory

To remove the state directory execute:

sudo rm -Rf /home/$USER/.talos/clusters/<cluster-name>

Troubleshooting

Logs

Inspect logs directory

sudo cat ~/.talos/clusters/<cluster-name>/*.log

Logs are saved under <cluster-name>-<role>-<node-id>.log

For example in case of k8s cluster name:

ls -la ~/.talos/clusters/k8s | grep log
-rw-r--r--. 1 root root      69415 Apr 26 20:58 k8s-master-1.log
-rw-r--r--. 1 root root      68345 Apr 26 20:58 k8s-worker-1.log
-rw-r--r--. 1 root root      24621 Apr 26 20:59 lb.log

Inspect logs during the installation

tail -f ~/.talos/clusters/<cluster-name>/*.log

2.1.4.3 - VirtualBox

Creating Talos Kubernetes cluster using VurtualBox VMs.

In this guide we will create a Kubernetes cluster using VirtualBox.

Video Walkthrough

To see a live demo of this writeup, visit Youtube here:

Installation

How to Get VirtualBox

Install VirtualBox with your operating system package manager or from the website. For example, on Ubuntu for x86:

apt install virtualbox

Install talosctl

You can download talosctl via github.com/siderolabs/talos/releases

curl https://github.com/siderolabs/talos/releases/download/<version>/talosctl-<platform>-<arch> -L -o talosctl

For example version v1.2.8 for linux platform:

curl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-linux-amd64 -L -o talosctl
sudo cp talosctl /usr/local/bin
sudo chmod +x /usr/local/bin/talosctl

Download ISO Image

In order to install Talos in VirtualBox, you will need the ISO image from the Talos release page. You can download talos-amd64.iso via github.com/siderolabs/talos/releases

mkdir -p _out/
curl https://github.com/siderolabs/talos/releases/download/<version>/talos-<arch>.iso -L -o _out/talos-<arch>.iso

For example version v1.2.8 for linux platform:

mkdir -p _out/
curl https://github.com/siderolabs/talos/releases/download/v1.2.8/talos-amd64.iso -L -o _out/talos-amd64.iso

Create VMs

Start by creating a new VM by clicking the “New” button in the VirtualBox UI:

Supply a name for this VM, and specify the Type and Version:

Edit the memory to supply at least 2GB of RAM for the VM:

Proceed through the disk settings, keeping the defaults. You can increase the disk space if desired.

Once created, select the VM and hit “Settings”:

In the “System” section, supply at least 2 CPUs:

In the “Network” section, switch the network “Attached To” section to “Bridged Adapter”:

Finally, in the “Storage” section, select the optical drive and, on the right, select the ISO by browsing your filesystem:

Repeat this process for a second VM to use as a worker node. You can also repeat this for additional nodes desired.

Start Control Plane Node

Once the VMs have been created and updated, start the VM that will be the first control plane node. This VM will boot the ISO image specified earlier and enter “maintenance mode”. Once the machine has entered maintenance mode, there will be a console log that details the IP address that the node received. Take note of this IP address, which will be referred to as $CONTROL_PLANE_IP for the rest of this guide. If you wish to export this IP as a bash variable, simply issue a command like export CONTROL_PLANE_IP=1.2.3.4.

Generate Machine Configurations

With the IP address above, you can now generate the machine configurations to use for installing Talos and Kubernetes. Issue the following command, updating the output directory, cluster name, and control plane IP as you see fit:

talosctl gen config talos-vbox-cluster https://$CONTROL_PLANE_IP:6443 --output-dir _out

This will create several files in the _out directory: controlplane.yaml, worker.yaml, and talosconfig.

Create Control Plane Node

Using the controlplane.yaml generated above, you can now apply this config using talosctl. Issue:

talosctl apply-config --insecure --nodes $CONTROL_PLANE_IP --file _out/controlplane.yaml

You should now see some action in the VirtualBox console for this VM. Talos will be installed to disk, the VM will reboot, and then Talos will configure the Kubernetes control plane on this VM.

Note: This process can be repeated multiple times to create an HA control plane.

Create Worker Node

Create at least a single worker node using a process similar to the control plane creation above. Start the worker node VM and wait for it to enter “maintenance mode”. Take note of the worker node’s IP address, which will be referred to as $WORKER_IP

Issue:

talosctl apply-config --insecure --nodes $WORKER_IP --file _out/worker.yaml

Note: This process can be repeated multiple times to add additional workers.

Using the Cluster

Once the cluster is available, you can make use of talosctl and kubectl to interact with the cluster. For example, to view current running containers, run talosctl containers for a list of containers in the system namespace, or talosctl containers -k for the k8s.io namespace. To view the logs of a container, use talosctl logs <container> or talosctl logs -k <container>.

First, configure talosctl to talk to your control plane node by issuing the following, updating paths and IPs as necessary:

export TALOSCONFIG="_out/talosconfig"
talosctl config endpoint $CONTROL_PLANE_IP
talosctl config node $CONTROL_PLANE_IP

Bootstrap Etcd

Set the endpoints and nodes:

talosctl --talosconfig $TALOSCONFIG config endpoint <control plane 1 IP>
talosctl --talosconfig $TALOSCONFIG config node <control plane 1 IP>

Bootstrap etcd:

talosctl --talosconfig $TALOSCONFIG bootstrap

Retrieve the kubeconfig

At this point we can retrieve the admin kubeconfig by running:

talosctl --talosconfig $TALOSCONFIG kubeconfig .

You can then use kubectl in this fashion:

kubectl get nodes

Cleaning Up

To cleanup, simply stop and delete the virtual machines from the VirtualBox UI.

2.1.5 - Single Board Computers

Installation of Talos Linux on single-board computers.

2.1.5.1 - Banana Pi M64

Installing Talos on Banana Pi M64 SBC using raw disk image.

Prerequisites

You will need

  • talosctl
  • an SD card

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-bananapi_m64-arm64.img.xz
xz -d metal-bananapi_m64-arm64.img.xz

Writing the Image

The path to your SD card can be found using fdisk on Linux or diskutil on macOS. In this example, we will assume /dev/mmcblk0.

Now dd the image to your SD card:

sudo dd if=metal-bananapi_m64-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M

Bootstrapping the Node

Insert the SD card to your board, turn it on and wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

2.1.5.2 - Jetson Nano

Installing Talos on Jetson Nano SBC using raw disk image.

Prerequisites

You will need

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Flashing the firmware to on-board SPI flash

Flashing the firmware only needs to be done once.

We will use the R32.7.2 release for the Jetson Nano. Most of the instructions is similar to this doc except that we’d be using a upstream version of u-boot with patches from NVIDIA u-boot so that USB boot also works.

Before flashing we need the following:

  • A USB-A to micro USB cable
  • A jumper wire to enable recovery mode
  • A HDMI monitor to view the logs if the USB serial adapter is not available
  • A USB to Serial adapter with 3.3V TTL (optional)
  • A 5V DC barrel jack

If you’re planning to use the serial console follow the documentation here

First start by downloading the Jetson Nano L4T release.

curl -SLO https://developer.nvidia.com/embedded/l4t/r32_release_v7.1/t210/jetson-210_linux_r32.7.2_aarch64.tbz2

Next we will extract the L4T release and replace the u-boot binary with the patched version.

tar xf jetson-210_linux_r32.6.1_aarch64.tbz2
cd Linux_for_Tegra
crane --platform=linux/arm64 export ghcr.io/siderolabs/u-boot:v1.1.0-alpha.0-42-gcd05ae8 - | tar xf - --strip-components=1 -C bootloader/t210ref/p3450-0000/ jetson_nano/u-boot.bin

Next we will flash the firmware to the Jetson Nano SPI flash. In order to do that we need to put the Jetson Nano into Force Recovery Mode (FRC). We will use the instructions from here

  • Ensure that the Jetson Nano is powered off. There is no need for the SD card/USB storage/network cable to be connected
  • Connect the micro USB cable to the micro USB port on the Jetson Nano, don’t plug the other end to the PC yet
  • Enable Force Recovery Mode (FRC) by placing a jumper across the FRC pins on the Jetson Nano
    • For board revision A02, these are pins 3 and 4 of header J40
    • For board revision B01, these are pins 9 and 10 of header J50
  • Place another jumper across J48 to enable power from the DC jack and connect the Jetson Nano to the DC jack J25
  • Now connect the other end of the micro USB cable to the PC and remove the jumper wire from the FRC pins

Now the Jetson Nano is in Force Recovery Mode (FRC) and can be confirmed by running the following command

lsusb | grep -i "nvidia"

Now we can move on the flashing the firmware.

sudo ./flash p3448-0000-max-spi external

This will flash the firmware to the Jetson Nano SPI flash and you’ll see a lot of output. If you’ve connected the serial console you’ll also see the progress there. Once the flashing is done you can disconnect the USB cable and power off the Jetson Nano.

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-jetson_nano-arm64.img.xz
xz -d metal-jetson_nano-arm64.img.xz

Writing the Image

Now dd the image to your SD card/USB storage:

sudo dd if=metal-jetson_nano-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M status=progress

| Replace /dev/mmcblk0 with the name of your SD card/USB storage.

Bootstrapping the Node

Insert the SD card/USB storage to your board, turn it on and wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

2.1.5.3 - Libre Computer Board ALL-H3-CC

Installing Talos on Libre Computer Board ALL-H3-CC SBC using raw disk image.

Prerequisites

You will need

  • talosctl
  • an SD card

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-libretech_all_h3_cc_h5-arm64.img.xz
xz -d metal-libretech_all_h3_cc_h5-arm64.img.xz

Writing the Image

The path to your SD card can be found using fdisk on Linux or diskutil on macOS. In this example, we will assume /dev/mmcblk0.

Now dd the image to your SD card:

sudo dd if=metal-libretech_all_h3_cc_h5-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M

Bootstrapping the Node

Insert the SD card to your board, turn it on and wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

2.1.5.4 - Pine64

Installing Talos on a Pine64 SBC using raw disk image.

Prerequisites

You will need

  • talosctl
  • an SD card

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-pine64-arm64.img.xz
xz -d metal-pine64-arm64.img.xz

Writing the Image

The path to your SD card can be found using fdisk on Linux or diskutil on macOS. In this example, we will assume /dev/mmcblk0.

Now dd the image to your SD card:

sudo dd if=metal-pine64-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M

Bootstrapping the Node

Insert the SD card to your board, turn it on and wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

2.1.5.5 - Pine64 Rock64

Installing Talos on Pine64 Rock64 SBC using raw disk image.

Prerequisites

You will need

  • talosctl
  • an SD card

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-rock64-arm64.img.xz
xz -d metal-rock64-arm64.img.xz

Writing the Image

The path to your SD card can be found using fdisk on Linux or diskutil on macOS. In this example, we will assume /dev/mmcblk0.

Now dd the image to your SD card:

sudo dd if=metal-rock64-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M

Bootstrapping the Node

Insert the SD card to your board, turn it on and wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

2.1.5.6 - Radxa ROCK PI 4

Installing Talos on Radxa ROCK PI 4a/4b SBC using raw disk image.

Prerequisites

You will need

  • talosctl
  • an SD card or an eMMC or USB drive or an nVME drive

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-rockpi_4-arm64.img.xz
xz -d metal-rockpi_4-arm64.img.xz

Writing the Image

The path to your SD card/eMMC/USB/nVME can be found using fdisk on Linux or diskutil on macOS. In this example, we will assume /dev/mmcblk0.

Now dd the image to your SD card:

sudo dd if=metal-rockpi_4-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M

The user has two options to proceed:

  • booting from a SD card or eMMC
  • booting from a USB or nVME (requires the RockPi board to have the SPI flash)

Booting from SD card or eMMC

Insert the SD card into the board, turn it on and proceed to bootstrapping the node.

Booting from USB or nVME

This requires the user to flash the RockPi SPI flash with u-boot.

This requires the user has access to crane CLI, a spare SD card and optionally access to the RockPi serial console.

  • Flash the Rock PI 4c variant of Debian to the SD card.
  • Boot into the debian image
  • Check that /dev/mtdblock0 exists otherwise the command will silently fail; e.g. lsblk.
  • Download u-boot image from talos u-boot:
mkdir _out
crane --platform=linux/arm64 export ghcr.io/siderolabs/u-boot:v1.1.0-alpha.0-19-g6691342 - | tar xf - --strip-components=1 -C _out rockpi_4/rkspi_loader.img
sudo dd if=rkspi_loader.img of=/dev/mtdblock0 bs=4K
  • Optionally, you can also write Talos image to the SSD drive right from your Rock PI board:
curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-rockpi_4-arm64.img.xz
xz -d metal-rockpi_4-arm64.img.xz
sudo dd if=metal-rockpi_4-arm64.img.xz of=/dev/nvme0n1
  • remove SD card and reboot.

After these steps, Talos will boot from the nVME/USB and enter maintenance mode. Proceed to bootstrapping the node.

Bootstrapping the Node

Wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

2.1.5.7 - Radxa ROCK PI 4C

Installing Talos on Radxa ROCK PI 4c SBC using raw disk image.

Prerequisites

You will need

  • talosctl
  • an SD card or an eMMC or USB drive or an nVME drive

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-rockpi_4c-arm64.img.xz
xz -d metal-rockpi_4c-arm64.img.xz

Writing the Image

The path to your SD card/eMMC/USB/nVME can be found using fdisk on Linux or diskutil on macOS. In this example, we will assume /dev/mmcblk0.

Now dd the image to your SD card:

sudo dd if=metal-rockpi_4c-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M

The user has two options to proceed:

  • booting from a SD card or eMMC
  • booting from a USB or nVME (requires the RockPi board to have the SPI flash)

Booting from SD card or eMMC

Insert the SD card into the board, turn it on and proceed to bootstrapping the node.

Booting from USB or nVME

This requires the user to flash the RockPi SPI flash with u-boot.

This requires the user has access to crane CLI, a spare SD card and optionally access to the RockPi serial console.

  • Flash the Rock PI 4c variant of Debian to the SD card.
  • Boot into the debian image
  • Check that /dev/mtdblock0 exists otherwise the command will silently fail; e.g. lsblk.
  • Download u-boot image from talos u-boot:
mkdir _out
crane --platform=linux/arm64 export ghcr.io/siderolabs/u-boot:v1.1.0-alpha.0-19-g6691342 - | tar xf - --strip-components=1 -C _out rockpi_4c/rkspi_loader.img
sudo dd if=rkspi_loader.img of=/dev/mtdblock0 bs=4K
  • Optionally, you can also write Talos image to the SSD drive right from your Rock PI board:
curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-rockpi_4c-arm64.img.xz
xz -d metal-rockpi_4c-arm64.img.xz
sudo dd if=metal-rockpi_4c-arm64.img.xz of=/dev/nvme0n1
  • remove SD card and reboot.

After these steps, Talos will boot from the nVME/USB and enter maintenance mode. Proceed to bootstrapping the node.

Bootstrapping the Node

Wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

2.1.5.8 - Raspberry Pi 4 Model B

Installing Talos on Rpi4 SBC using raw disk image.

Video Walkthrough

To see a live demo of this writeup, see the video below:

Prerequisites

You will need

  • talosctl
  • an SD card

Download the latest talosctl.

curl -Lo /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/v1.2.8/talosctl-$(uname -s | tr "[:upper:]" "[:lower:]")-amd64
chmod +x /usr/local/bin/talosctl

Updating the EEPROM

At least version v2020.09.03-138a1 of the bootloader (rpi-eeprom) is required. To update the bootloader we will need an SD card. Insert the SD card into your computer and use Raspberry Pi Imager to install the bootloader on it (select Operating System > Misc utility images > Bootloader > SD Card Boot). Alternatively, you can use the console on Linux or macOS. The path to your SD card can be found using fdisk on Linux or diskutil on macOS. In this example, we will assume /dev/mmcblk0.

curl -Lo rpi-boot-eeprom-recovery.zip https://github.com/raspberrypi/rpi-eeprom/releases/download/v2021.04.29-138a1/rpi-boot-eeprom-recovery-2021-04-29-vl805-000138a1.zip
sudo mkfs.fat -I /dev/mmcblk0
sudo mount /dev/mmcblk0p1 /mnt
sudo bsdtar rpi-boot-eeprom-recovery.zip -C /mnt

Remove the SD card from your local machine and insert it into the Raspberry Pi. Power the Raspberry Pi on, and wait at least 10 seconds. If successful, the green LED light will blink rapidly (forever), otherwise an error pattern will be displayed. If an HDMI display is attached to the port closest to the power/USB-C port, the screen will display green for success or red if a failure occurs. Power off the Raspberry Pi and remove the SD card from it.

Note: Updating the bootloader only needs to be done once.

Download the Image

Download the image and decompress it:

curl -LO https://github.com/siderolabs/talos/releases/download/v1.2.8/metal-rpi_4-arm64.img.xz
xz -d metal-rpi_4-arm64.img.xz

Writing the Image

Now dd the image to your SD card:

sudo dd if=metal-rpi_4-arm64.img of=/dev/mmcblk0 conv=fsync bs=4M

Bootstrapping the Node

Insert the SD card to your board, turn it on and wait for the console to show you the instructions for bootstrapping the node. Following the instructions in the console output to connect to the interactive installer:

talosctl apply-config --insecure --mode=interactive --nodes <node IP or DNS name>

Once the interactive installation is applied, the cluster will form and you can then use kubectl.

Note: if you have an HDMI display attached and it shows only a rainbow splash, please use the other HDMI port, the one closest to the power/USB-C port.

Retrieve the kubeconfig

Retrieve the admin kubeconfig by running:

talosctl kubeconfig

Troubleshooting

The following table can be used to troubleshoot booting issues:

Long FlashesShort FlashesStatus
03Generic failure to boot
04start*.elf not found
07Kernel image not found
08SDRAM failure
09Insufficient SDRAM
010In HALT state
21Partition not FAT
22Failed to read from partition
23Extended partition not FAT
24File signature/hash mismatch - Pi 4
44Unsupported board type
45Fatal firmware error
46Power failure type A
47Power failure type B

2.2 - Configuration

Guides on how to configure Talos Linux machines

2.2.1 - Configuration Patches

In this guide, we’ll patch the generated machine configuration.

Talos generates machine configuration for two types of machines: controlplane and worker machines. Many configuration options can be adjusted using talosctl gen config but not all of them. Configuration patching allows modifying machine configuration to fit it for the cluster or a specific machine.

Configuration Patch Formats

Talos supports two configuration patch formats:

  • strategic merge patches
  • RFC6902 (JSON patches)

Strategic merge patches are the easiest to use, but JSON patches allow more precise configuration adjustments.

Strategic Merge patches

Strategic merge patches look like incomplete machine configuration files:

machine:
  network:
    hostname: worker1

When applied to the machine configuration, the patch gets merged with the respective section of the machine configuration:

machine:
  network:
    interfaces:
      - interface: eth0
        addresses:
          - 10.0.0.2/24
    hostname: worker1

In general, machine configuration contents are merged with the contents of the strategic merge patch, with strategic merge patch values overriding machine configuration values. There are some special rules:

  • If the field value is a list, the patch value is appended to the list, with the following exceptions:
    • values of the fields cluster.network.podSubnets and cluster.network.serviceSubnets are overwritten on merge
    • network.interfaces section is merged with the value in the machine config if there is a match on interface: or deviceSelector: keys

RFC6902 (JSON Patches)

JSON patches can be written either in JSON or YAML format. A proper JSON patch requires an op field that depends on the machine configuration contents: whether the path already exists or not.

For example, the strategic merge patch from the previous section can be written either as:

- op: replace
  path: /machine/network/hostname
  value: worker1

or:

- op: add
  path: /machine/network/hostname
  value: worker1

The correct op depends on whether the /machine/network/hostname section exists already in the machine config or not.

Examples

Machine Network

Base machine configuration:

# ...
machine:
  network:
    interfaces:
      - interface: eth0
        dhcp: false
        addresses:
          - 192.168.10.3/24

The goal is to add a virtual IP 192.168.10.50 to the eth0 interface and add another interface eth1 with DHCP enabled.

machine:
  network:
    interfaces:
      - interface: eth0
        vip:
          ip: 192.168.10.50
      - interface: eth1
        dhcp: true
- op: add
  path: /machine/network/interfaces/0/vip
  value:
    ip: 192.168.10.50
- op: add
  path: /machine/network/interfaces/-
  value:
    interface: eth1
    dhcp: true

Patched machine configuration:

machine:
  network:
    interfaces:
      - interface: eth0
        dhcp: false
        addresses:
          - 192.168.10.3/24
        vip:
          ip: 192.168.10.50
      - interface: eth1
        dhcp: true

Cluster Network

Base machine configuration:

cluster:
  network:
    dnsDomain: cluster.local
    podSubnets:
      - 10.244.0.0/16
    serviceSubnets:
      - 10.96.0.0/12

The goal is to update pod and service subnets and disable default CNI (Flannel).

cluster:
  network:
    podSubnets:
      - 192.168.0.0/16
    serviceSubnets:
      - 192.0.0.0/12
    cni:
      name: none
- op: replace
  path: /cluster/network/podSubnets
  value:
    - 192.168.0.0/16
- op: replace
  path: /cluster/network/serviceSubnets
  value:
    - 192.0.0.0/12
- op: add
  path: /cluster/network/cni
  value:
    name: none

Patched machine configuration:

cluster:
  network:
    dnsDomain: cluster.local
    podSubnets:
      - 192.168.0.0/16
    serviceSubnets:
      - 192.0.0.0/12
    cni:
      name: none

Kubelet

Base machine configuration:

# ...
machine:
  kubelet: {}

The goal is to set the kubelet node IP to come from the subnet 192.168.10.0/24.

machine:
  kubelet:
    nodeIP:
      validSubnets:
        - 192.168.10.0/24
- op: add
  path: /machine/kubelet/nodeIP
  value:
    validSubnets:
      - 192.168.10.0/24

Patched machine configuration:

machine:
  kubelet:
    nodeIP:
      validSubnets:
        - 192.168.10.0/24

Configuration Patching with talosctl CLI

Several talosctl commands accept config patches as command-line flags. Config patches might be passed either as an inline value or as a reference to a file with @file.patch syntax:

talosctl ... --patch '[{"op": "add", "path": "/machine/network/hostname", "value": "worker1"}]' --patch @file.patch

If multiple config patches are specified, they are applied in the order of appearance. The format of the patch (JSON patch or strategic merge patch) is detected automatically.

Generated machine configuration can be patched with talosctl gen config:

talosctl gen config test-cluster https://172.20.0.1:6443 --config-patch @all.yaml --config-patch-control-plane @cp.yaml --config-patch-worker @worker.yaml

Machine configuration on the running Talos node can be patched with talosctl patch:

talosctl patch mc --nodes 172.20.0.2 --patch @patch.yaml

2.2.2 - Containerd

Customize Containerd Settings

The base containerd configuration expects to merge in any additional configs present in /var/cri/conf.d/*.toml.

An example of exposing metrics

Into each machine config, add the following:

machine:
  ...
  files:
    - content: |
        [metrics]
          address = "0.0.0.0:11234"        
      path: /var/cri/conf.d/metrics.toml
      op: create

Create cluster like normal and see that metrics are now present on this port:

$ curl 127.0.0.1:11234/v1/metrics
# HELP container_blkio_io_service_bytes_recursive_bytes The blkio io service bytes recursive
# TYPE container_blkio_io_service_bytes_recursive_bytes gauge
container_blkio_io_service_bytes_recursive_bytes{container_id="0677d73196f5f4be1d408aab1c4125cf9e6c458a4bea39e590ac779709ffbe14",device="/dev/dm-0",major="253",minor="0",namespace="k8s.io",op="Async"} 0
container_blkio_io_service_bytes_recursive_bytes{container_id="0677d73196f5f4be1d408aab1c4125cf9e6c458a4bea39e590ac779709ffbe14",device="/dev/dm-0",major="253",minor="0",namespace="k8s.io",op="Discard"} 0
...
...

2.2.3 - Custom Certificate Authorities

How to supply custom certificate authorities

Appending the Certificate Authority

Put into each machine the PEM encoded certificate:

machine:
  ...
  files:
    - content: |
        -----BEGIN CERTIFICATE-----
        ...
        -----END CERTIFICATE-----        
      permissions: 0644
      path: /etc/ssl/certs/ca-certificates
      op: append

2.2.4 - Disk Encryption

Guide on using system disk encryption

It is possible to enable encryption for system disks at the OS level. As of this writing, only STATE and EPHEMERAL partitions can be encrypted. STATE contains the most sensitive node data: secrets and certs. EPHEMERAL partition may contain some sensitive workload data. Data is encrypted using LUKS2, which is provided by the Linux kernel modules and cryptsetup utility. The operating system will run additional setup steps when encryption is enabled.

If the disk encryption is enabled for the STATE partition, the system will:

  • Save STATE encryption config as JSON in the META partition.
  • Before mounting the STATE partition, load encryption configs either from the machine config or from the META partition. Note that the machine config is always preferred over the META one.
  • Before mounting the STATE partition, format and encrypt it. This occurs only if the STATE partition is empty and has no filesystem.

If the disk encryption is enabled for the EPHEMERAL partition, the system will:

  • Get the encryption config from the machine config.
  • Before mounting the EPHEMERAL partition, encrypt and format it. This occurs only if the EPHEMERAL partition is empty and has no filesystem.

Configuration

Right now this encryption is disabled by default. To enable disk encryption you should modify the machine configuration with the following options:

machine:
  ...
  systemDiskEncryption:
    ephemeral:
      provider: luks2
      keys:
        - nodeID: {}
          slot: 0
    state:
      provider: luks2
      keys:
        - nodeID: {}
          slot: 0

Encryption Keys

Note: What the LUKS2 docs call “keys” are, in reality, a passphrase. When this passphrase is added, LUKS2 runs argon2 to create an actual key from that passphrase.

LUKS2 supports up to 32 encryption keys and it is possible to specify all of them in the machine configuration. Talos always tries to sync the keys list defined in the machine config with the actual keys defined for the LUKS2 partition. So if you update the keys list you should have at least one key that is not changed to be used for keys management.

When you define a key you should specify the key kind and the slot:

machine:
  ...
  state:
    keys:
      - nodeID: {} # key kind
        slot: 1

  ephemeral:
    keys:
      - static:
          passphrase: supersecret
        slot: 0

Take a note that key order does not play any role on which key slot is used. Every key must always have a slot defined.

Encryption Key Kinds

Talos supports two kinds of keys:

  • nodeID which is generated using the node UUID and the partition label (note that if the node UUID is not really random it will fail the entropy check).
  • static which you define right in the configuration.

Note: Use static keys only if your STATE partition is encrypted and only for the EPHEMERAL partition. For the STATE partition it will be stored in the META partition, which is not encrypted.

Key Rotation

It is necessary to do talosctl apply-config a couple of times to rotate keys, since there is a need to always maintain a single working key while changing the other keys around it.

So, for example, first add a new key:

machine:
  ...
  ephemeral:
    keys:
      - static:
          passphrase: oldkey
        slot: 0
      - static:
          passphrase: newkey
        slot: 1
  ...

Run:

talosctl apply-config -n <node> -f config.yaml

Then remove the old key:

machine:
  ...
  ephemeral:
    keys:
      - static:
          passphrase: newkey
        slot: 1
  ...

Run:

talosctl apply-config -n <node> -f config.yaml

Going from Unencrypted to Encrypted and Vice Versa

Ephemeral Partition

There is no in-place encryption support for the partitions right now, so to avoid losing any data only empty partitions can be encrypted.

As such, migration from unencrypted to encrypted needs some additional handling, especially around explicitly wiping partitions.

  • apply-config should be called with --mode=staged.
  • Partition should be wiped after apply-config, but before the reboot.

Edit your machine config and add the encryption configuration:

vim config.yaml

Apply the configuration with --mode=staged:

talosctl apply-config -f config.yaml -n <node ip> --mode=staged

Wipe the partition you’re going to encrypt:

talosctl reset --system-labels-to-wipe EPHEMERAL -n <node ip> --reboot=true

That’s it! After you run the last command, the partition will be wiped and the node will reboot. During the next boot the system will encrypt the partition.

State Partition

Calling wipe against the STATE partition will make the node lose the config, so the previous flow is not going to work.

The flow should be to first wipe the STATE partition:

talosctl reset  --system-labels-to-wipe STATE -n <node ip> --reboot=true

Node will enter into maintenance mode, then run apply-config with --insecure flag:

talosctl apply-config --insecure -n <node ip> -f config.yaml

After installation is complete the node should encrypt the STATE partition.

2.2.5 - Editing Machine Configuration

How to edit and patch Talos machine configuration, with reboot, immediately, or stage update on reboot.

Talos node state is fully defined by machine configuration. Initial configuration is delivered to the node at bootstrap time, but configuration can be updated while the node is running.

Note: Be sure that config is persisted so that configuration updates are not overwritten on reboots. Configuration persistence was enabled by default since Talos 0.5 (persist: true in machine configuration).

There are three talosctl commands which facilitate machine configuration updates:

  • talosctl apply-config to apply configuration from the file
  • talosctl edit machineconfig to launch an editor with existing node configuration, make changes and apply configuration back
  • talosctl patch machineconfig to apply automated machine configuration via JSON patch

Each of these commands can operate in one of four modes:

  • apply change in automatic mode(default): reboot if the change can’t be applied without a reboot, otherwise apply the change immediately
  • apply change with a reboot (--mode=reboot): update configuration, reboot Talos node to apply configuration change
  • apply change immediately (--mode=no-reboot flag): change is applied immediately without a reboot, fails if the change contains any fields that can not be updated without a reboot
  • apply change on next reboot (--mode=staged): change is staged to be applied after a reboot, but node is not rebooted
  • apply change in the interactive mode (--mode=interactive; only for talosctl apply-config): launches TUI based interactive installer

Note: applying change on next reboot (--mode=staged) doesn’t modify current node configuration, so next call to talosctl edit machineconfig --mode=staged will not see changes

Additionally, there is also talosctl get machineconfig, which retrieves the current node configuration API resource and contains the machine configuration in the .spec field. It can be used to modify the configuration locally before being applied to the node.

The list of config changes allowed to be applied immediately in Talos v1.2.8:

  • .debug
  • .cluster
  • .machine.time
  • .machine.certCANs
  • .machine.install (configuration is only applied during install/upgrade)
  • .machine.network
  • .machine.sysfs
  • .machine.sysctls
  • .machine.logging
  • .machine.controlplane
  • .machine.kubelet
  • .machine.pods
  • .machine.kernel
  • .machine.registries (CRI containerd plugin will not pick up the registry authentication settings without a reboot)
  • .machine.features.kubernetesTalosAPIAccess

talosctl apply-config

This command is mostly used to submit initial machine configuration to the node (generated by talosctl gen config). It can be used to apply new configuration from the file to the running node as well, but most of the time it’s not convenient, as it doesn’t operate on the current node machine configuration.

Example:

talosctl -n <IP> apply-config -f config.yaml

Command apply-config can also be invoked as apply machineconfig:

talosctl -n <IP> apply machineconfig -f config.yaml

Applying machine configuration immediately (without a reboot):

talosctl -n IP apply machineconfig -f config.yaml --mode=no-reboot

Starting the interactive installer:

talosctl -n IP apply machineconfig --mode=interactive

Note: when a Talos node is running in the maintenance mode it’s necessary to provide --insecure (-i) flag to connect to the API and apply the config.

taloctl edit machineconfig

Command talosctl edit loads current machine configuration from the node and launches configured editor to modify the config. If config hasn’t been changed in the editor (or if updated config is empty), update is not applied.

Note: Talos uses environment variables TALOS_EDITOR, EDITOR to pick up the editor preference. If environment variables are missing, vi editor is used by default.

Example:

talosctl -n <IP> edit machineconfig

Configuration can be edited for multiple nodes if multiple IP addresses are specified:

talosctl -n <IP1>,<IP2>,... edit machineconfig

Applying machine configuration change immediately (without a reboot):

talosctl -n <IP> edit machineconfig --mode=no-reboot

talosctl patch machineconfig

Command talosctl patch works similar to talosctl edit command - it loads current machine configuration, but instead of launching configured editor it applies a set of JSON patches to the configuration and writes the result back to the node.

Example, updating kubelet version (in auto mode):

$ talosctl -n <IP> patch machineconfig -p '[{"op": "replace", "path": "/machine/kubelet/image", "value": "ghcr.io/siderolabs/kubelet:v1.25.5"}]'
patched mc at the node <IP>

Updating kube-apiserver version in immediate mode (without a reboot):

$ talosctl -n <IP> patch machineconfig --mode=no-reboot -p '[{"op": "replace", "path": "/cluster/apiServer/image", "value": "k8s.gcr.io/kube-apiserver:v1.25.5"}]'
patched mc at the node <IP>

A patch might be applied to multiple nodes when multiple IPs are specified:

talosctl -n <IP1>,<IP2>,... patch machineconfig -p '[{...}]'

Patches can also be sourced from files using @file syntax:

talosctl -n <IP> patch machineconfig -p @kubelet-patch.json -p @manifest-patch.json

It might be easier to store patches in YAML format vs. the default JSON format. Talos can detect file format automatically:

# kubelet-patch.yaml
- op: replace
  path: /machine/kubelet/image
  value: ghcr.io/siderolabs/kubelet:v1.25.5
talosctl -n <IP> patch machineconfig -p @kubelet-patch.yaml

Recovering from Node Boot Failures

If a Talos node fails to boot because of wrong configuration (for example, control plane endpoint is incorrect), configuration can be updated to fix the issue.

2.2.6 - Logging

Dealing with Talos Linux logs.

Viewing logs

Kernel messages can be retrieved with talosctl dmesg command:

$ talosctl -n 172.20.1.2 dmesg

172.20.1.2: kern:    info: [2021-11-10T10:09:37.662764956Z]: Command line: init_on_alloc=1 slab_nomerge pti=on consoleblank=0 nvme_core.io_timeout=4294967295 printk.devkmsg=on ima_template=ima-ng ima_appraise=fix ima_hash=sha512 console=ttyS0 reboot=k panic=1 talos.shutdown=halt talos.platform=metal talos.config=http://172.20.1.1:40101/config.yaml
[...]

Service logs can be retrieved with talosctl logs command:

$ talosctl -n 172.20.1.2 services

NODE         SERVICE      STATE     HEALTH   LAST CHANGE   LAST EVENT
172.20.1.2   apid         Running   OK       19m27s ago    Health check successful
172.20.1.2   containerd   Running   OK       19m29s ago    Health check successful
172.20.1.2   cri          Running   OK       19m27s ago    Health check successful
172.20.1.2   etcd         Running   OK       19m22s ago    Health check successful
172.20.1.2   kubelet      Running   OK       19m20s ago    Health check successful
172.20.1.2   machined     Running   ?        19m30s ago    Service started as goroutine
172.20.1.2   trustd       Running   OK       19m27s ago    Health check successful
172.20.1.2   udevd        Running   OK       19m28s ago    Health check successful

$ talosctl -n 172.20.1.2 logs machined

172.20.1.2: [talos] task setupLogger (1/1): done, 106.109µs
172.20.1.2: [talos] phase logger (1/7): done, 564.476µs
[...]

Container logs for Kubernetes pods can be retrieved with talosctl logs -k command:

$ talosctl -n 172.20.1.2 containers -k
NODE         NAMESPACE   ID                                                 IMAGE                                                         PID    STATUS
172.20.1.2   k8s.io      kube-system/kube-flannel-dk6d5                     k8s.gcr.io/pause:3.5                                          1329   SANDBOX_READY
172.20.1.2   k8s.io      └─ kube-system/kube-flannel-dk6d5:install-cni      ghcr.io/siderolabs/install-cni:v0.7.0-alpha.0-1-g2bb2efc      0      CONTAINER_EXITED
172.20.1.2   k8s.io      └─ kube-system/kube-flannel-dk6d5:install-config   quay.io/coreos/flannel:v0.13.0                                0      CONTAINER_EXITED
172.20.1.2   k8s.io      └─ kube-system/kube-flannel-dk6d5:kube-flannel     quay.io/coreos/flannel:v0.13.0                                1610   CONTAINER_RUNNING
172.20.1.2   k8s.io      kube-system/kube-proxy-gfkqj                       k8s.gcr.io/pause:3.5                                          1311   SANDBOX_READY
172.20.1.2   k8s.io      └─ kube-system/kube-proxy-gfkqj:kube-proxy         k8s.gcr.io/kube-proxy:v1.25.5                                 1379   CONTAINER_RUNNING

$ talosctl -n 172.20.1.2 logs -k kube-system/kube-proxy-gfkqj:kube-proxy
172.20.1.2: 2021-11-30T19:13:20.567825192Z stderr F I1130 19:13:20.567737       1 server_others.go:138] "Detected node IP" address="172.20.0.3"
172.20.1.2: 2021-11-30T19:13:20.599684397Z stderr F I1130 19:13:20.599613       1 server_others.go:206] "Using iptables Proxier"
[...]

Sending logs

Service logs

You can enable logs sendings in machine configuration:

machine:
  logging:
    destinations:
      - endpoint: "udp://127.0.0.1:12345/"
        format: "json_lines"
      - endpoint: "tcp://host:5044/"
        format: "json_lines"

Several destinations can be specified. Supported protocols are UDP and TCP. The only currently supported format is json_lines:

{
  "msg": "[talos] apply config request: immediate true, on reboot false",
  "talos-level": "info",
  "talos-service": "machined",
  "talos-time": "2021-11-10T10:48:49.294858021Z"
}

Messages are newline-separated when sent over TCP. Over UDP messages are sent with one message per packet. msg, talos-level, talos-service, and talos-time fields are always present; there may be additional fields.

Kernel logs

Kernel log delivery can be enabled with the talos.logging.kernel kernel command line argument, which can be specified in the .machine.installer.extraKernelArgs:

machine:
  install:
    extraKernelArgs:
      - talos.logging.kernel=tcp://host:5044/

Kernel log destination is specified in the same way as service log endpoint. The only supported format is json_lines.

Sample message:

{
  "clock":6252819, // time relative to the kernel boot time
  "facility":"user",
  "msg":"[talos] task startAllServices (1/1): waiting for 6 services\n",
  "priority":"warning",
  "seq":711,
  "talos-level":"warn", // Talos-translated `priority` into common logging level
  "talos-time":"2021-11-26T16:53:21.3258698Z" // Talos-translated `clock` using current time
}

extraKernelArgs in the machine configuration are only applied on Talos upgrades, not just by applying the config. (Upgrading to the same version is fine).

Filebeat example

To forward logs to other Log collection services, one way to do this is sending them to a Filebeat running in the cluster itself (in the host network), which takes care of forwarding it to other endpoints (and the necessary transformations).

If Elastic Cloud on Kubernetes is being used, the following Beat (custom resource) configuration might be helpful:

apiVersion: beat.k8s.elastic.co/v1beta1
kind: Beat
metadata:
  name: talos
spec:
  type: filebeat
  version: 7.15.1
  elasticsearchRef:
    name: talos
  config:
    filebeat.inputs:
      - type: "udp"
        host: "127.0.0.1:12345"
        processors:
          - decode_json_fields:
              fields: ["message"]
              target: ""
          - timestamp:
              field: "talos-time"
              layouts:
                - "2006-01-02T15:04:05.999999999Z07:00"
          - drop_fields:
              fields: ["message", "talos-time"]
          - rename:
              fields:
                - from: "msg"
                  to: "message"

  daemonSet:
    updateStrategy:
      rollingUpdate:
        maxUnavailable: 100%
    podTemplate:
      spec:
        dnsPolicy: ClusterFirstWithHostNet
        hostNetwork: true
        securityContext:
          runAsUser: 0
        containers:
          - name: filebeat
            ports:
              - protocol: UDP
                containerPort: 12345
                hostPort: 12345

The input configuration ensures that messages and timestamps are extracted properly. Refer to the Filebeat documentation on how to forward logs to other outputs.

Also note the hostNetwork: true in the daemonSet configuration.

This ensures filebeat uses the host network, and listens on 127.0.0.1:12345 (UDP) on every machine, which can then be specified as a logging endpoint in the machine configuration.

Fluent-bit example

First, we’ll create a value file for the fluentd-bit Helm chart.

# fluentd-bit.yaml

podAnnotations:
  fluentbit.io/exclude: 'true'

extraPorts:
  - port: 12345
    containerPort: 12345
    protocol: TCP
    name: talos

config:
  service: |
    [SERVICE]
      Flush         5
      Daemon        Off
      Log_Level     warn
      Parsers_File  custom_parsers.conf    

  inputs: |
    [INPUT]
      Name          tcp
      Listen        0.0.0.0
      Port          12345
      Format        json
      Tag           talos.*

    [INPUT]
      Name          tail
      Alias         kubernetes
      Path          /var/log/containers/*.log
      Parser        containerd
      Tag           kubernetes.*

    [INPUT]
      Name          tail
      Alias         audit
      Path          /var/log/audit/kube/*.log
      Parser        audit
      Tag           audit.*    

  filters: |
    [FILTER]
      Name                kubernetes
      Alias               kubernetes
      Match               kubernetes.*
      Kube_Tag_Prefix     kubernetes.var.log.containers.
      Use_Kubelet         Off
      Merge_Log           On
      Merge_Log_Trim      On
      Keep_Log            Off
      K8S-Logging.Parser  Off
      K8S-Logging.Exclude On
      Annotations         Off
      Labels              On

    [FILTER]
      Name          modify
      Match         kubernetes.*
      Add           source kubernetes
      Remove        logtag    

  customParsers: |
    [PARSER]
      Name          audit
      Format        json
      Time_Key      requestReceivedTimestamp
      Time_Format   %Y-%m-%dT%H:%M:%S.%L%z

    [PARSER]
      Name          containerd
      Format        regex
      Regex         ^(?<time>[^ ]+) (?<stream>stdout|stderr) (?<logtag>[^ ]*) (?<log>.*)$
      Time_Key      time
      Time_Format   %Y-%m-%dT%H:%M:%S.%L%z    

  outputs: |
    [OUTPUT]
      Name    stdout
      Alias   stdout
      Match   *
      Format  json_lines    

  # If you wish to ship directly to Loki from Fluentbit,
  # Uncomment the following output, updating the Host with your Loki DNS/IP info as necessary.
  # [OUTPUT]
  # Name loki
  # Match *
  # Host loki.loki.svc
  # Port 3100
  # Labels job=fluentbit
  # Auto_Kubernetes_Labels on

daemonSetVolumes:
  - name: varlog
    hostPath:
      path: /var/log

daemonSetVolumeMounts:
  - name: varlog
    mountPath: /var/log

tolerations:
  - operator: Exists
    effect: NoSchedule

Next, we will add the helm repo for FluentBit, and deploy it to the cluster.

helm repo add fluent https://fluent.github.io/helm-charts
helm upgrade -i --namespace=kube-system -f fluentd-bit.yaml fluent-bit fluent/fluent-bit

Now we need to find the service IP.

$ kubectl -n kube-system get svc -l app.kubernetes.io/name=fluent-bit

NAME         TYPE        CLUSTER-IP     EXTERNAL-IP   PORT(S)             AGE
fluent-bit   ClusterIP   10.200.0.138   <none>        2020/TCP,5170/TCP   108m

Finally, we will change talos log destination with the command talosctl edit mc.

machine:
  logging:
    destinations:
      - endpoint: "tcp://10.200.0.138:5170"
        format: "json_lines"

This example configuration was well tested with Cilium CNI, and it should work with iptables/ipvs based CNI plugins too.

Vector example

Vector is a lightweight observability pipeline ideal for a Kubernetes environment. It can ingest (source) logs from multiple sources, perform remapping on the logs (transform), and forward the resulting pipeline to multiple destinations (sinks). As it is an end to end platform, it can be run as a single-deployment ‘aggregator’ as well as a replicaSet of ‘Agents’ that run on each node.

As Talos can be set as above to send logs to a destination, we can run Vector as an Aggregator, and forward both kernel and service to a UDP socket in-cluster.

Below is an excerpt of a source/sink setup for Talos, with a ‘sink’ destination of an in-cluster Grafana Loki log aggregation service. As Loki can create labels from the log input, we have set up the Loki sink to create labels based on the host IP, service and facility of the inbound logs.

Note that a method of exposing the Vector service will be required which may vary depending on your setup - a LoadBalancer is a good option.

role: "Stateless-Aggregator"

# Sources
sources:
  talos_kernel_logs:
    address: 0.0.0.0:6050
    type: socket
    mode: udp
    max_length: 102400
    decoding:
      codec: json
    host_key: __host

  talos_service_logs:
    address: 0.0.0.0:6051
    type: socket
    mode: udp
    max_length: 102400
    decoding:
      codec: json
    host_key: __host

# Sinks
sinks:
  talos_kernel:
    type: loki
    inputs:
      - talos_kernel_logs_xform
    endpoint: http://loki.system-monitoring:3100
    encoding:
      codec: json
      except_fields:
        - __host
    batch:
      max_bytes: 1048576
    out_of_order_action: rewrite_timestamp
    labels:
      hostname: >-
                {{`{{ __host }}`}}
      facility: >-
                {{`{{ facility }}`}}

  talos_service:
    type: loki
    inputs:
      - talos_service_logs_xform
    endpoint: http://loki.system-monitoring:3100
    encoding:
      codec: json
      except_fields:
        - __host
    batch:
      max_bytes: 400000
    out_of_order_action: rewrite_timestamp
    labels:
      hostname: >-
                {{`{{ __host }}`}}
      service: >-
                {{`{{ "talos-service" }}`}}

2.2.7 - Managing PKI

How to manage Public Key Infrastructure

Generating an Administrator Key Pair

In order to create a key pair, you will need the root CA.

Save the CA public key, and CA private key as ca.crt, and ca.key respectively. Now, run the following commands to generate a certificate:

talosctl gen key --name admin
talosctl gen csr --key admin.key --ip 127.0.0.1
talosctl gen crt --ca ca --csr admin.csr --name admin

Now, base64 encode admin.crt, and admin.key:

cat admin.crt | base64
cat admin.key | base64

You can now set the crt and key fields in the talosconfig to the base64 encoded strings.

Renewing an Expired Administrator Certificate

In order to renew the certificate, you will need the root CA, and the admin private key. The base64 encoded key can be found in any one of the control plane node’s configuration file. Where it is exactly will depend on the specific version of the configuration file you are using.

Save the CA public key, CA private key, and admin private key as ca.crt, ca.key, and admin.key respectively. Now, run the following commands to generate a certificate:

talosctl gen csr --key admin.key --ip 127.0.0.1
talosctl gen crt --ca ca --csr admin.csr --name admin

You should see admin.crt in your current directory. Now, base64 encode admin.crt:

cat admin.crt | base64

You can now set the certificate in the talosconfig to the base64 encoded string.

2.2.8 - NVIDIA Fabric Manager

In this guide we’ll follow the procedure to enable NVIDIA Fabric Manager.

NVIDIA GPUs that have nvlink support (for eg: A100) will need the nvidia-fabricmanager system extension also enabled in addition to the NVIDIA drivers. For more information on Fabric Manager refer https://docs.nvidia.com/datacenter/tesla/fabric-manager-user-guide/index.html

The published versions of the NVIDIA fabricmanager system extensions is available here

The nvidia-fabricmanager extension version has to match with the NVIDIA driver version in use.

Upgrading Talos and enabling the NVIDIA fabricmanager system extension

In addition to the patch defined in the NVIDIA drivers guide, we need to add the nvidia-fabricmanager system extension to the patch yaml gpu-worker-patch.yaml:

- op: add
  path: /machine/install/extensions
  value:
    - image: ghcr.io/siderolabs/nvidia-open-gpu-kernel-modules:515.65.01-v1.2.8
    - image: ghcr.io/siderolabs/nvidia-container-toolkit:515.65.01-v1.10.0
    - image: ghcr.io/siderolabs/nvidia-fabricmanager:515.65.01
- op: add
  path: /machine/kernel
  value:
    modules:
      - name: nvidia
      - name: nvidia_uvm
      - name: nvidia_drm
      - name: nvidia_modeset
- op: add
  path: /machine/sysctls
  value:
    net.core.bpf_jit_harden: 1

2.2.9 - NVIDIA GPU (OSS drivers)

In this guide we’ll follow the procedure to support NVIDIA GPU using OSS drivers on Talos.

Enabling NVIDIA GPU support on Talos is bound by NVIDIA EULA. Talos GPU support has been promoted to beta. The Talos published NVIDIA OSS drivers are bound to a specific Talos release. The extensions versions also needs to be updated when upgrading Talos.

The published versions of the NVIDIA system extensions can be found here:

Upgrading Talos and enabling the NVIDIA modules and the system extension

Make sure to use talosctl version v1.2.8 or later

First create a patch yaml gpu-worker-patch.yaml to update the machine config similar to below:

- op: add
  path: /machine/install/extensions
  value:
    - image: ghcr.io/siderolabs/nvidia-open-gpu-kernel-modules:515.65.01-v1.2.8
    - image: ghcr.io/siderolabs/nvidia-container-toolkit:515.65.01-v1.10.0
- op: add
  path: /machine/kernel
  value:
    modules:
      - name: nvidia
      - name: nvidia_uvm
      - name: nvidia_drm
      - name: nvidia_modeset
- op: add
  path: /machine/sysctls
  value:
    net.core.bpf_jit_harden: 1

Update the driver version and Talos release in the above patch yaml from the published versions if there is a newer one available. Make sure the driver version matches for both the nvidia-open-gpu-kernel-modules and nvidia-container-toolkit extensions. The nvidia-open-gpu-kernel-modules extension is versioned as <nvidia-driver-version>-<talos-release-version> and the nvidia-container-toolkit extension is versioned as <nvidia-driver-version>-<nvidia-container-toolkit-version>.

Now apply the patch to all Talos nodes in the cluster having NVIDIA GPU’s installed:

talosctl patch mc --patch @gpu-worker-patch.yaml

Now we can proceed to upgrading Talos to the same version to enable the system extension:

talosctl upgrade --image=ghcr.io/siderolabs/installer:v1.2.8

Once the node reboots, the NVIDIA modules should be loaded and the system extension should be installed.

This can be confirmed by running:

talosctl read /proc/modules

which should produce an output similar to below:

nvidia_uvm 1146880 - - Live 0xffffffffc2733000 (PO)
nvidia_drm 69632 - - Live 0xffffffffc2721000 (PO)
nvidia_modeset 1142784 - - Live 0xffffffffc25ea000 (PO)
nvidia 39047168 - - Live 0xffffffffc00ac000 (PO)
talosctl get extensions

which should produce an output similar to below:

NODE           NAMESPACE   TYPE              ID                                                                           VERSION   NAME                             VERSION
172.31.41.27   runtime     ExtensionStatus   000.ghcr.io-siderolabs-nvidia-container-toolkit-515.65.01-v1.10.0            1         nvidia-container-toolkit         515.65.01-v1.10.0
172.31.41.27   runtime     ExtensionStatus   000.ghcr.io-siderolabs-nvidia-open-gpu-kernel-modules-515.65.01-v1.2.0       1         nvidia-open-gpu-kernel-modules   515.65.01-v1.2.0
talosctl read /proc/driver/nvidia/version

which should produce an output similar to below:

NVRM version: NVIDIA UNIX x86_64 Kernel Module  515.65.01  Wed Mar 16 11:24:05 UTC 2022
GCC version:  gcc version 12.2.0 (GCC)

Deploying NVIDIA device plugin

First we need to create the RuntimeClass

Apply the following manifest to create a runtime class that uses the extension:

---
apiVersion: node.k8s.io/v1
kind: RuntimeClass
metadata:
  name: nvidia
handler: nvidia

Install the NVIDIA device plugin:

helm repo add nvdp https://nvidia.github.io/k8s-device-plugin
helm repo update
helm install nvidia-device-plugin nvdp/nvidia-device-plugin --version=0.11.0 --set=runtimeClassName=nvidia

Apply the following manifest to run CUDA pod via nvidia runtime:

cat <<EOF | kubectl apply -f -
---
apiVersion: v1
kind: Pod
metadata:
  name: gpu-operator-test
spec:
  restartPolicy: OnFailure
  runtimeClassName: nvidia
  containers:
  - name: cuda-vector-add
    image: "nvidia/samples:vectoradd-cuda11.6.0"
    resources:
      limits:
         nvidia.com/gpu: 1
<<EOF

The status can be viewed by running:

kubectl get pods

which should produce an output similar to below:

NAME                READY   STATUS      RESTARTS   AGE
gpu-operator-test   0/1     Completed   0          13s
kubectl logs gpu-operator-test

which should produce an output similar to below:

[Vector addition of 50000 elements]
Copy input data from the host memory to the CUDA device
CUDA kernel launch with 196 blocks of 256 threads
Copy output data from the CUDA device to the host memory
Test PASSED
Done

2.2.10 - NVIDIA GPU (Proprietary drivers)

In this guide we’ll follow the procedure to support NVIDIA GPU using proprietary drivers on Talos.

Enabling NVIDIA GPU support on Talos is bound by NVIDIA EULA. Talos GPU support has been promoted to beta.

These are the steps to enabling NVIDIA support in Talos.

  • Talos pre-installed on a node with NVIDIA GPU installed.
  • Building a custom Talos installer image with NVIDIA modules
  • Upgrading Talos with the custom installer and enabling NVIDIA modules and the system extension

This requires that the user build and maintain their own Talos installer image.

Prerequisites

This guide assumes the user has access to a container registry with push permissions, docker installed on the build machine and the Talos host has pull access to the container registry.

Set the local registry and username environment variables:

export USERNAME=<username>
export REGISTRY=<registry>
export TAG=v1.2.8-nvidia

For eg:

export USERNAME=talos-user
export REGISTRY=ghcr.io

The examples below will use the sample variables set above. Modify accordingly for your environment.

Building the installer image

Start by cloning the pkgs repository.

Now run the following command to build and push custom Talos kernel image and the NVIDIA image with the NVIDIA kernel modules signed by the kernel built along with it.

make kernel nonfree-kmod-nvidia PLATFORM=linux/amd64 PUSH=true

Replace the platform with linux/arm64 if building for ARM64

Now we need to create a custom Talos installer image.

Start by creating a Dockerfile with the following content:

FROM scratch as customization
COPY --from=ghcr.io/talos-user/nonfree-kmod-nvidia:v1.2.8-nvidia /lib/modules /lib/modules

FROM ghcr.io/siderolabs/installer:v1.2.8
COPY --from=ghcr.io/talos-user/kernel:v1.2.8-nvidia /boot/vmlinuz /usr/install/${TARGETARCH}/vmlinuz

Now build the image and push it to the registry.

DOCKER_BUILDKIT=0 docker build --squash --build-arg RM="/lib/modules" -t ghcr.io/talos-user/installer:v1.2.8-nvidia .
docker push ghcr.io/talos-user/installer:v1.2.8-nvidia

Note: buildkit has a bug #816, to disable it use DOCKER_BUILDKIT=0 Replace the platform with linux/arm64 if building for ARM64

Upgrading Talos and enabling the NVIDIA modules and the system extension

Make sure to use talosctl version v1.2.8 or later

First create a patch yaml gpu-worker-patch.yaml to update the machine config similar to below:

- op: add
  path: /machine/install/extensions
  value:
    - image: ghcr.io/siderolabs/nvidia-container-toolkit:515.65.01-v1.10.0
- op: add
  path: /machine/kernel
  value:
    modules:
      - name: nvidia
      - name: nvidia_uvm
      - name: nvidia_drm
      - name: nvidia_modeset
- op: add
  path: /machine/sysctls
  value:
    net.core.bpf_jit_harden: 1

Now apply the patch to all Talos nodes in the cluster having NVIDIA GPU’s installed:

talosctl patch mc --patch @gpu-worker-patch.yaml

Now we can proceed to upgrading Talos with the installer built previously:

talosctl upgrade --image=ghcr.io/talos-user/installer:v1.2.8-nvidia

Once the node reboots, the NVIDIA modules should be loaded and the system extension should be installed.

This can be confirmed by running:

talosctl read /proc/modules

which should produce an output similar to below:

nvidia_uvm 1146880 - - Live 0xffffffffc2733000 (PO)
nvidia_drm 69632 - - Live 0xffffffffc2721000 (PO)
nvidia_modeset 1142784 - - Live 0xffffffffc25ea000 (PO)
nvidia 39047168 - - Live 0xffffffffc00ac000 (PO)
talosctl get extensions

which should produce an output similar to below:

NODE           NAMESPACE   TYPE              ID                                                                 VERSION   NAME                       VERSION
172.31.41.27   runtime     ExtensionStatus   000.ghcr.io-frezbo-nvidia-container-toolkit-510.60.02-v1.9.0       1         nvidia-container-toolkit   510.60.02-v1.9.0
talosctl read /proc/driver/nvidia/version

which should produce an output similar to below:

NVRM version: NVIDIA UNIX x86_64 Kernel Module  510.60.02  Wed Mar 16 11:24:05 UTC 2022
GCC version:  gcc version 11.2.0 (GCC)

Deploying NVIDIA device plugin

First we need to create the RuntimeClass

Apply the following manifest to create a runtime class that uses the extension:

---
apiVersion: node.k8s.io/v1
kind: RuntimeClass
metadata:
  name: nvidia
handler: nvidia

Install the NVIDIA device plugin:

helm repo add nvdp https://nvidia.github.io/k8s-device-plugin
helm repo update
helm install nvidia-device-plugin nvdp/nvidia-device-plugin --version=0.11.0 --set=runtimeClassName=nvidia

Apply the following manifest to run CUDA pod via nvidia runtime:

cat <<EOF | kubectl apply -f -
---
apiVersion: v1
kind: Pod
metadata:
  name: gpu-operator-test
spec:
  restartPolicy: OnFailure
  runtimeClassName: nvidia
  containers:
  - name: cuda-vector-add
    image: "nvidia/samples:vectoradd-cuda11.6.0"
    resources:
      limits:
         nvidia.com/gpu: 1
<<EOF

The status can be viewed by running:

kubectl get pods

which should produce an output similar to below:

NAME                READY   STATUS      RESTARTS   AGE
gpu-operator-test   0/1     Completed   0          13s
kubectl logs gpu-operator-test

which should produce an output similar to below:

[Vector addition of 50000 elements]
Copy input data from the host memory to the CUDA device
CUDA kernel launch with 196 blocks of 256 threads
Copy output data from the CUDA device to the host memory
Test PASSED
Done

2.2.11 - Pull Through Image Cache

How to set up local transparent container images caches.

In this guide we will create a set of local caching Docker registry proxies to minimize local cluster startup time.

When running Talos locally, pulling images from Docker registries might take a significant amount of time. We spin up local caching pass-through registries to cache images and configure a local Talos cluster to use those proxies. A similar approach might be used to run Talos in production in air-gapped environments. It can be also used to verify that all the images are available in local registries.

Video Walkthrough

To see a live demo of this writeup, see the video below:

Requirements

The follow are requirements for creating the set of caching proxies:

  • Docker 18.03 or greater
  • Local cluster requirements for either docker or QEMU.

Launch the Caching Docker Registry Proxies

Talos pulls from docker.io, k8s.gcr.io, quay.io, gcr.io, and ghcr.io by default. If your configuration is different, you might need to modify the commands below:

docker run -d -p 5000:5000 \
    -e REGISTRY_PROXY_REMOTEURL=https://registry-1.docker.io \
    --restart always \
    --name registry-docker.io registry:2

docker run -d -p 5001:5000 \
    -e REGISTRY_PROXY_REMOTEURL=https://k8s.gcr.io \
    --restart always \
    --name registry-k8s.gcr.io registry:2

docker run -d -p 5002:5000 \
    -e REGISTRY_PROXY_REMOTEURL=https://quay.io \
    --restart always \
    --name registry-quay.io registry:2.5

docker run -d -p 5003:5000 \
    -e REGISTRY_PROXY_REMOTEURL=https://gcr.io \
    --restart always \
    --name registry-gcr.io registry:2

docker run -d -p 5004:5000 \
    -e REGISTRY_PROXY_REMOTEURL=https://ghcr.io \
    --restart always \
    --name registry-ghcr.io registry:2

Note: Proxies are started as docker containers, and they’re automatically configured to start with Docker daemon. Please note that quay.io proxy doesn’t support recent Docker image schema, so we run older registry image version (2.5).

As a registry container can only handle a single upstream Docker registry, we launch a container per upstream, each on its own host port (5000, 5001, 5002, 5003 and 5004).

Using Caching Registries with QEMU Local Cluster

With a QEMU local cluster, a bridge interface is created on the host. As registry containers expose their ports on the host, we can use bridge IP to direct proxy requests.

sudo talosctl cluster create --provisioner qemu \
    --registry-mirror docker.io=http://10.5.0.1:5000 \
    --registry-mirror k8s.gcr.io=http://10.5.0.1:5001 \
    --registry-mirror quay.io=http://10.5.0.1:5002 \
    --registry-mirror gcr.io=http://10.5.0.1:5003 \
    --registry-mirror ghcr.io=http://10.5.0.1:5004

The Talos local cluster should now start pulling via caching registries. This can be verified via registry logs, e.g. docker logs -f registry-docker.io. The first time cluster boots, images are pulled and cached, so next cluster boot should be much faster.

Note: 10.5.0.1 is a bridge IP with default network (10.5.0.0/24), if using custom --cidr, value should be adjusted accordingly.

Using Caching Registries with docker Local Cluster

With a docker local cluster we can use docker bridge IP, default value for that IP is 172.17.0.1. On Linux, the docker bridge address can be inspected with ip addr show docker0.

talosctl cluster create --provisioner docker \
    --registry-mirror docker.io=http://172.17.0.1:5000 \
    --registry-mirror k8s.gcr.io=http://172.17.0.1:5001 \
    --registry-mirror quay.io=http://172.17.0.1:5002 \
    --registry-mirror gcr.io=http://172.17.0.1:5003 \
    --registry-mirror ghcr.io=http://172.17.0.1:5004

Cleaning Up

To cleanup, run:

docker rm -f registry-docker.io
docker rm -f registry-k8s.gcr.io
docker rm -f registry-quay.io
docker rm -f registry-gcr.io
docker rm -f registry-ghcr.io

Note: Removing docker registry containers also removes the image cache. So if you plan to use caching registries, keep the containers running.

2.2.12 - Role-based access control (RBAC)

Set up RBAC on the Talos Linux API.

Talos v0.11 introduced initial support for role-based access control (RBAC). This guide will explain what that is and how to enable it without losing access to the cluster.

RBAC in Talos

Talos uses certificates to authorize users. The certificate subject’s organization field is used to encode user roles. There is a set of predefined roles that allow access to different API methods:

  • os:admin grants access to all methods;
  • os:reader grants access to “safe” methods (for example, that includes the ability to list files, but does not include the ability to read files content);
  • os:etcd:backup grants access to /machine.MachineService/EtcdSnapshot method.

Roles in the current talosconfig can be checked with the following command:

$ talosctl config info

[...]
Roles:               os:admin
[...]

RBAC is enabled by default in new clusters created with talosctl v0.11+ and disabled otherwise.

Enabling RBAC

First, both the Talos cluster and talosctl tool should be upgraded. Then the talosctl config new command should be used to generate a new client configuration with the os:admin role. Additional configurations and certificates for different roles can be generated by passing --roles flag:

talosctl config new --roles=os:reader reader

That command will create a new client configuration file reader with a new certificate with os:reader role.

After that, RBAC should be enabled in the machine configuration:

machine:
  features:
    rbac: true

2.2.13 - System Extensions

Customizing the Talos Linux immutable root file system.

System extensions allow extending the Talos root filesystem, which enables a variety of features, such as including custom container runtimes, loading additional firmware, etc.

System extensions are only activated during the installation or upgrade of Talos Linux. With system extensions installed, the Talos root filesystem is still immutable and read-only.

Configuration

System extensions are configured in the .machine.install section:

machine:
  install:
    extensions:
      - image: ghcr.io/siderolabs/gvisor:33f613e

During the initial install (e.g. when PXE booting or booting from an ISO), Talos will pull down container images for system extensions, validate them, and include them into the Talos initramfs image. System extensions will be activated on boot and overlaid on top of the Talos root filesystem.

In order to update the system extensions for a running instance, update .machine.install.extensions and upgrade Talos. (Note: upgrading to the same version of Talos is fine).

Building a Talos Image with System Extensions

System extensions can be installed into the Talos disk image (e.g. AWS AMI or VMWare OVF) by running the following command to generate the image from the Talos source tree:

make image-metal IMAGER_SYSTEM_EXTENSIONS="ghcr.io/siderolabs/amd-ucode:20220411 ghcr.io/siderolabs/gvisor:20220405.0-v1.0.0-10-g82b41ad"

Authoring System Extensions

A Talos system extension is a container image with the specific folder structure. System extensions can be built and managed using any tool that produces container images, e.g. docker build.

Sidero Labs maintains a repository of system extensions.

Resource Definitions

Use talosctl get extensions to get a list of system extensions:

$ talosctl get extensions
NODE         NAMESPACE   TYPE              ID                                              VERSION   NAME          VERSION
172.20.0.2   runtime     ExtensionStatus   000.ghcr.io-talos-systems-gvisor-54b831d        1         gvisor        20220117.0-v1.0.0
172.20.0.2   runtime     ExtensionStatus   001.ghcr.io-talos-systems-intel-ucode-54b831d   1         intel-ucode   microcode-20210608-v1.0.0

Use YAML or JSON format to see additional details about the extension:

$ talosctl -n 172.20.0.2 get extensions 001.ghcr.io-talos-systems-intel-ucode-54b831d -o yaml
node: 172.20.0.2
metadata:
    namespace: runtime
    type: ExtensionStatuses.runtime.talos.dev
    id: 001.ghcr.io-talos-systems-intel-ucode-54b831d
    version: 1
    owner: runtime.ExtensionStatusController
    phase: running
    created: 2022-02-10T18:25:04Z
    updated: 2022-02-10T18:25:04Z
spec:
    image: 001.ghcr.io-talos-systems-intel-ucode-54b831d.sqsh
    metadata:
        name: intel-ucode
        version: microcode-20210608-v1.0.0
        author: Spencer Smith
        description: |
            This system extension provides Intel microcode binaries.
        compatibility:
            talos:
                version: '>= v1.0.0'

Example: gVisor

See readme of the gVisor extension.

2.3 - Network

Set up networking layers for Talos Linux

2.3.1 - Corporate Proxies

How to configure Talos Linux to use proxies in a corporate environment

Appending the Certificate Authority of MITM Proxies

Put into each machine the PEM encoded certificate:

machine:
  ...
  files:
    - content: |
        -----BEGIN CERTIFICATE-----
        ...
        -----END CERTIFICATE-----        
      permissions: 0644
      path: /etc/ssl/certs/ca-certificates
      op: append

Configuring a Machine to Use the Proxy

To make use of a proxy:

machine:
  env:
    http_proxy: <http proxy>
    https_proxy: <https proxy>
    no_proxy: <no proxy>

Additionally, configure the DNS nameservers, and NTP servers:

machine:
  env:
  ...
  time:
    servers:
      - <server 1>
      - <server ...>
      - <server n>
  ...
  network:
    nameservers:
      - <ip 1>
      - <ip ...>
      - <ip n>

2.3.2 - Network Device Selector

How to configure network devices by selecting them using hardware information

Configuring Network Device Using Device Selector

deviceSelector is an alternative method of configuring a network device:

machine:
  ...
  network:
    interfaces:
      - deviceSelector:
          driver: virtio
          hardwareAddr: "00:00:*"
        address: 192.168.88.21

Selector has the following traits:

  • qualifiers match a device by reading the hardware information in /sys/class/net/...
  • qualifiers are applied using logical AND
  • machine.network.interfaces.deviceConfig option is mutually exclusive with machine.network.interfaces.interface
  • the selector is invalid when it matches multiple devices, the controller will fail and won’t create any devices for the malformed selector

The available hardware information used in the selector can be observed in the LinkStatus resource (works in maintenance mode):

# talosctl get links eth0 -o yaml
spec:
  ...
  hardwareAddr: 4e:95:8e:8f:e4:47
  busPath: 0000:06:00.0
  driver: alx
  pciID: 1969:E0B1

Use Case

machine.network.interfaces.interface name is generated by the Linux kernel and can be changed after a reboot. Device names can change when the system has several interfaces of the same kind, e.g: eth0, eth1.

In that case pinning it to hardwareAddress will make Talos reliably configure the device even when interface name changes.

2.3.3 - Virtual (shared) IP

Using Talos Linux to set up a floating virtual IP address for cluster access.

One of the biggest pain points when building a high-availability controlplane is giving clients a single IP or URL at which they can reach any of the controlplane nodes. The most common approaches all require external resources: reverse proxy, load balancer, BGP, and DNS.

Using a “Virtual” IP address, on the other hand, provides high availability without external coordination or resources, so long as the controlplane members share a layer 2 network. In practical terms, this means that they are all connected via a switch, with no router in between them.

The term “virtual” is misleading here. The IP address is real, and it is assigned to an interface. Instead, what actually happens is that the controlplane machines vie for control of the shared IP address using etcd elections. There can be only one owner of the IP address at any given time, but if that owner disappears or becomes non-responsive, another owner will be chosen, and it will take up the mantle: the IP address.

Talos has (as of version 0.9) built-in support for this form of shared IP address, and it can utilize this for both the Kubernetes API server and the Talos endpoint set. Talos uses etcd for elections and leadership (control) of the IP address. It is not reccomended to use a virtual IP to access the API of Talos itself, since the node using the shared IP is not deterministic and could change.

Video Walkthrough

To see a live demo of this writeup, see the video below:

Choose your Shared IP

To begin with, you should choose your shared IP address. It should generally be a reserved, unused IP address in the same subnet as your controlplane nodes. It should not be assigned or assignable by your DHCP server.

For our example, we will assume that the controlplane nodes have the following IP addresses:

  • 192.168.0.10
  • 192.168.0.11
  • 192.168.0.12

We then choose our shared IP to be:

192.168.0.15

Configure your Talos Machines

The shared IP setting is only valid for controlplane nodes.

For the example above, each of the controlplane nodes should have the following Machine Config snippet:

machine:
  network:
    interfaces:
    - interface: eth0
      dhcp: true
      vip:
        ip: 192.168.0.15

Virtual IP’s can also be configured on a VLAN interface.

machine:
  network:
    interfaces:
    - interface: eth0
      dhcp: true
      vip:
        ip: 192.168.0.15
      vlans:
        - vlanId: 100
          dhcp: true
          vip:
            ip: 192.168.1.15

Obviously, for your own environment, the interface and the DHCP setting may differ. You are free to use static addressing (cidr) instead of DHCP.

Caveats

In general, the shared IP should just work. However, since it relies on etcd for elections, the shared IP will not come alive until after you have bootstrapped Kubernetes. In general, this is not a problem, but it does mean that you cannot use the shared IP when issuing the talosctl bootstrap command. Instead, that command will need to target one of the controlplane nodes discretely.

2.3.4 - Wireguard Network

A guide on how to set up Wireguard network using Kernel module.

Configuring Wireguard Network

Quick Start

The quickest way to try out Wireguard is to use talosctl cluster create command:

talosctl cluster create --wireguard-cidr 10.1.0.0/24

It will automatically generate Wireguard network configuration for each node with the following network topology:

Where all controlplane nodes will be used as Wireguard servers which listen on port 51111. All controlplanes and workers will connect to all controlplanes. It also sets PersistentKeepalive to 5 seconds to establish controlplanes to workers connection.

After the cluster is deployed it should be possible to verify Wireguard network connectivity. It is possible to deploy a container with hostNetwork enabled, then do kubectl exec <container> /bin/bash and either do:

ping 10.1.0.2

Or install wireguard-tools package and run:

wg show

Wireguard show should output something like this:

interface: wg0
  public key: OMhgEvNIaEN7zeCLijRh4c+0Hwh3erjknzdyvVlrkGM=
  private key: (hidden)
  listening port: 47946

peer: 1EsxUygZo8/URWs18tqB5FW2cLVlaTA+lUisKIf8nh4=
  endpoint: 10.5.0.2:51111
  allowed ips: 10.1.0.0/24
  latest handshake: 1 minute, 55 seconds ago
  transfer: 3.17 KiB received, 3.55 KiB sent
  persistent keepalive: every 5 seconds

It is also possible to use generated configuration as a reference by pulling generated config files using:

talosctl read -n 10.5.0.2 /system/state/config.yaml > controlplane.yaml
talosctl read -n 10.5.0.3 /system/state/config.yaml > worker.yaml

Manual Configuration

All Wireguard configuration can be done by changing Talos machine config files. As an example we will use this official Wireguard quick start tutorial.

Key Generation

This part is exactly the same:

wg genkey | tee privatekey | wg pubkey > publickey

Setting up Device

Inline comments show relations between configs and wg quickstart tutorial commands:

...
network:
  interfaces:
    ...
      # ip link add dev wg0 type wireguard
    - interface: wg0
      mtu: 1500
      # ip address add dev wg0 192.168.2.1/24
      addresses:
        - 192.168.2.1/24
      # wg set wg0 listen-port 51820 private-key /path/to/private-key peer ABCDEF... allowed-ips 192.168.88.0/24 endpoint 209.202.254.14:8172
      wireguard:
        privateKey: <privatekey file contents>
        listenPort: 51820
        peers:
          allowedIPs:
            - 192.168.88.0/24
          endpoint: 209.202.254.14.8172
          publicKey: ABCDEF...
...

When networkd gets this configuration it will create the device, configure it and will bring it up (equivalent to ip link set up dev wg0).

All supported config parameters are described in the Machine Config Reference.

2.4 - Resetting a Machine

Steps on how to reset a Talos Linux machine to a clean state.

From time to time, it may be beneficial to reset a Talos machine to its “original” state. Bear in mind that this is a destructive action for the given machine. Doing this means removing the machine from Kubernetes, Etcd (if applicable), and clears any data on the machine that would normally persist a reboot.

CLI

WARNING: Running a talosctl reset on cloud VM’s might result in the VM being unable to boot as this wipes the entire disk. It might be more useful to just wipe the STATE and EPHEMERAL partitions on a cloud VM if not booting via iPXE. talosctl reset --system-labels-to-wipe STATE --system-labels-to-wipe EPHEMERAL

The API command for doing this is talosctl reset. There are a couple of flags as part of this command:

Flags:
      --graceful                        if true, attempt to cordon/drain node and leave etcd (if applicable) (default true)
      --reboot                          if true, reboot the node after resetting instead of shutting down
      --system-labels-to-wipe strings   if set, just wipe selected system disk partitions by label but keep other partitions intact keep other partitions intact

The graceful flag is especially important when considering HA vs. non-HA Talos clusters. If the machine is part of an HA cluster, a normal, graceful reset should work just fine right out of the box as long as the cluster is in a good state. However, if this is a single node cluster being used for testing purposes, a graceful reset is not an option since Etcd cannot be “left” if there is only a single member. In this case, reset should be used with --graceful=false to skip performing checks that would normally block the reset.

Kernel Parameter

Another way to reset a machine is to specify talos.experimental.wipe=system kernel parameter. If the machine got stuck in the boot loop and you access to the console you can use GRUB to specify this kernel argument. Then when Talos boots for the next time it will reset system disk and reboot.

Next steps can be to install Talos either using PXE boot or by mounting an ISO.

2.5 - Upgrading Talos Linux

Guide on upgrading a Talos Linux machine.

OS upgrades, like other operations on Talos Linux, are effected by an API call, which can be sent via the talosctl CLI utility. Because Talos Linux is image based, an upgrade is almost the same as installing Talos, with the difference that the system has already been initialized with a configuration.

The upgrade API call passes a node the installer image to use to perform the upgrade. Each Talos version has a corresponding installer.

Upgrades use an A-B image scheme in order to facilitate rollbacks. This scheme retains the previous Talos kernel and OS image following each upgrade. If an upgrade fails to boot, Talos will roll back to the previous version. Likewise, Talos may be manually rolled back via API (or talosctl rollback). This will simply update the boot reference and reboot.

Unless explicitly told to preserve data, an upgrade will cause the node to wipe the EPHEMERAL partition, remove itself from the etcd cluster (if it is a control node), and generally make itself as pristine as is possible. (This is generally the desired behavior, except in specialised use cases such as single-node clusters.)

Note that the default since Talos version 1.0 is to specify the Kubernetes version in the machine config. This means an upgrade of the Talos Linux OS will not apply an upgrade of the Kubernetes version by default. Kubernetes upgrades should be managed separately per upgrading kubernetes. Each release of Talos Linux includes the latest stable Kubernetes version by default.

Before Upgrade to v1.2.8

PodSecurityPolicy removal

PodSecurityPolicy is removed in Kubernetes 1.25, so make sure that it is disabled on Talos side before trying to use Kubernetes 1.25:

cluster:
  apiServer:
    disablePodSecurityPolicy: true

This setting defaulted to true since Talos v1.0.0 release.

Video Walkthrough

To see a live demo of an upgrade of Talos Linux, see the video below:

After Upgrade to v1.2.8

There are no specific actions to be taken after an upgrade.

talosctl upgrade

To upgrade a Talos node, specify the node’s IP address and the installer container image for the version of Talos to upgrade to.

For instance, if your Talos node has the IP address 10.20.30.40 and you want to install the official version v1.0.0, you would enter a command such as:

  $ talosctl upgrade --nodes 10.20.30.40 \
      --image ghcr.io/siderolabs/installer:v1.2.8

There is an option to this command: --preserve, which will explicitly tell Talos to keep ephemeral data intact. In most cases, it is correct to let Talos perform its default action of erasing the ephemeral data. However, if you are running a single-node control-plane, you will want to make sure that --preserve=true.

Rarely, a upgrade command will fail to run due to a process holding a file open on disk, or you may wish to set a node to upgrade, but delay the actual reboot as long as possible. In these cases, you can use the --stage flag. This puts the upgrade artifacts on disk, and adds some metadata to a disk partition that gets checked very early in the boot process. Finally, the node is rebooted by the upgrade --stage process. On the reboot, Talos sees that it needs to apply an upgrade, and will do so immediately. Because this occurs in a just rebooted system, there will be no conflict with any files being held open. After the upgrade is applied, the node will reboot again, in order to boot into the new version. Note that because Talos Linux now reboots via the kexec syscall, the extra reboot adds very little time.

Machine Configuration Changes

Upgrade Sequence

When a Talos node receives the upgrade command, it cordons itself in Kubernetes, to avoid receiving any new workload. It then starts to drain its existing workload.

NOTE: If any of your workloads are sensitive to being shut down ungracefully, be sure to use the lifecycle.preStop Pod spec.

Once all of the workload Pods are drained, Talos will start shutting down its internal processes. If it is a control node, this will include etcd. If preserve is not enabled, Talos will leave etcd membership. (Talos ensures the etcd cluster is healthy and will remain healthy after our node leaves the etcd cluster, before allowing a control plane node to be upgraded.)

Once all the processes are stopped and the services are shut down, the filesystems will be unmounted. This allows Talos to produce a very clean upgrade, as close as possible to a pristine system. We verify the disk and then perform the actual image upgrade. We set the bootloader to boot once with the new kernel and OS image, then we reboot.

After the node comes back up and Talos verifies itself, it will make the bootloader change permanent, rejoin the cluster, and finally uncordon itself to receive new workloads.

FAQs

Q. What happens if an upgrade fails?

A. Talos Linux attempts to safely handle upgrade failures.

The most common failure is an invalid installer image reference. In this case, Talos will fail to download the upgraded image and will abort the upgrade.

Sometimes, Talos is unable to successfully kill off all of the disk access points, in which case it cannot safely unmount all filesystems to effect the upgrade. In this case, it will abort the upgrade and reboot. (upgrade --stage can ensure that upgrades can occur even when the filesytems cannot be unmounted.)

It is possible (especially with test builds) that the upgraded Talos system will fail to start. In this case, the node will be rebooted, and the bootloader will automatically use the previous Talos kernel and image, thus effectively rolling back the upgrade.

Lastly, it is possible that Talos itself will upgrade successfully, start up, and rejoin the cluster but your workload will fail to run on it, for whatever reason. This is when you would use the talosctl rollback command to revert back to the previous Talos version.

Q. Can upgrades be scheduled?

A. Because the upgrade sequence is API-driven, you can easily tie it in to your own business logic to schedule and coordinate your upgrades.

Q. Can the upgrade process be observed?

A. Yes, using the talosctl dmesg -f command.

Q. Are worker node upgrades handled differently from control plane node upgrades?

A. Short answer: no.

Long answer: Both node types follow the same set procedure. From the user’s standpoint, however, the processes are identical. However, since control plane nodes run additional services, such as etcd, there are some extra steps and checks performed on them. For instance, Talos will refuse to upgrade a control plane node if that upgrade would cause a loss of quorum for etcd. If multiple control plane nodes are asked to upgrade at the same time, Talos will protect the Kubernetes cluster by ensuring only one control plane node actively upgrades at any time, via checking etcd quorum. If running a single-node cluster, and you want to force an upgrade despite the loss of quorum, you can set preserve to true.

Q. Can I break my cluster by upgrading everything at once?

A. Maybe - it’s not recommended.

Nothing prevents the user from sending near-simultaneous upgrades to each node of the cluster - and while Talos Linux and Kubernetes can generally deal with this situation, other components of the cluster may not be able to recover from more than one node rebooting at a time. (e.g. any software that maintains a quorum or state across nodes, such as Rook/Ceph)

3 - Kubernetes Guides

Management of a Kubernetes Cluster hosted by Talos Linux

3.1 - Configuration

How to configure components of the Kubernetes cluster itself.

3.1.1 - Ceph Storage cluster with Rook

Guide on how to create a simple Ceph storage cluster with Rook for Kubernetes

Preparation

Talos Linux reserves an entire disk for the OS installation, so machines with multiple available disks are needed for a reliable Ceph cluster with Rook and Talos Linux. Rook requires that the block devices or partitions used by Ceph have no partitions or formatted filesystems before use. Rook also requires a minimum Kubernetes version of v1.16 and Helm v3.0 for installation of charts. It is highly recommended that the Rook Ceph overview is read and understood before deploying a Ceph cluster with Rook.

Installation

Creating a Ceph cluster with Rook requires two steps; first the Rook Operator needs to be installed which can be done with a Helm Chart. The example below installs the Rook Operator into the rook-ceph namespace, which is the default for a Ceph cluster with Rook.

$ helm repo add rook-release https://charts.rook.io/release
"rook-release" has been added to your repositories

$ helm install --create-namespace --namespace rook-ceph rook-ceph rook-release/rook-ceph
W0327 17:52:44.277830   54987 warnings.go:70] policy/v1beta1 PodSecurityPolicy is deprecated in v1.21+, unavailable in v1.25+
W0327 17:52:44.612243   54987 warnings.go:70] policy/v1beta1 PodSecurityPolicy is deprecated in v1.21+, unavailable in v1.25+
NAME: rook-ceph
LAST DEPLOYED: Sun Mar 27 17:52:42 2022
NAMESPACE: rook-ceph
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
The Rook Operator has been installed. Check its status by running:
  kubectl --namespace rook-ceph get pods -l "app=rook-ceph-operator"

Visit https://rook.io/docs/rook/latest for instructions on how to create and configure Rook clusters

Important Notes:
- You must customize the 'CephCluster' resource in the sample manifests for your cluster.
- Each CephCluster must be deployed to its own namespace, the samples use `rook-ceph` for the namespace.
- The sample manifests assume you also installed the rook-ceph operator in the `rook-ceph` namespace.
- The helm chart includes all the RBAC required to create a CephCluster CRD in the same namespace.
- Any disk devices you add to the cluster in the 'CephCluster' must be empty (no filesystem and no partitions).

Once that is complete, the Ceph cluster can be installed with the official Helm Chart. The Chart can be installed with default values, which will attempt to use all nodes in the Kubernetes cluster, and all unused disks on each node for Ceph storage, and make available block storage, object storage, as well as a shared filesystem. Generally more specific node/device/cluster configuration is used, and the Rook documentation explains all the available options in detail. For this example the defaults will be adequate.

$ helm install --create-namespace --namespace rook-ceph rook-ceph-cluster --set operatorNamespace=rook-ceph rook-release/rook-ceph-cluster
NAME: rook-ceph-cluster
LAST DEPLOYED: Sun Mar 27 18:12:46 2022
NAMESPACE: rook-ceph
STATUS: deployed
REVISION: 1
TEST SUITE: None
NOTES:
The Ceph Cluster has been installed. Check its status by running:
  kubectl --namespace rook-ceph get cephcluster

Visit https://rook.github.io/docs/rook/latest/ceph-cluster-crd.html for more information about the Ceph CRD.

Important Notes:
- You can only deploy a single cluster per namespace
- If you wish to delete this cluster and start fresh, you will also have to wipe the OSD disks using `sfdisk`

Now the Ceph cluster configuration has been created, the Rook operator needs time to install the Ceph cluster and bring all the components online. The progression of the Ceph cluster state can be followed with the following command.

$ watch kubectl --namespace rook-ceph get cephcluster rook-ceph
Every 2.0s: kubectl --namespace rook-ceph get cephcluster rook-ceph

NAME        DATADIRHOSTPATH   MONCOUNT   AGE   PHASE         MESSAGE                 HEALTH   EXTERNAL
rook-ceph   /var/lib/rook     3          57s   Progressing   Configuring Ceph Mons

Depending on the size of the Ceph cluster and the availability of resources the Ceph cluster should become available, and with it the storage classes that can be used with Kubernetes Physical Volumes.

$ kubectl --namespace rook-ceph get cephcluster rook-ceph
NAME        DATADIRHOSTPATH   MONCOUNT   AGE   PHASE   MESSAGE                        HEALTH      EXTERNAL
rook-ceph   /var/lib/rook     3          40m   Ready   Cluster created successfully   HEALTH_OK

$ kubectl  get storageclass
NAME                   PROVISIONER                     RECLAIMPOLICY   VOLUMEBINDINGMODE   ALLOWVOLUMEEXPANSION   AGE
ceph-block (default)   rook-ceph.rbd.csi.ceph.com      Delete          Immediate           true                   77m
ceph-bucket            rook-ceph.ceph.rook.io/bucket   Delete          Immediate           false                  77m
ceph-filesystem        rook-ceph.cephfs.csi.ceph.com   Delete          Immediate           true                   77m

Talos Linux Considerations

It is important to note that a Rook Ceph cluster saves cluster information directly onto the node (by default dataDirHostPath is set to /var/lib/rook). If running only a single mon instance, cluster management is little bit more involved, as any time a Talos Linux node is reconfigured or upgraded, the partition that stores the /var file system is wiped, but the --preserve option of talosctl upgrade will ensure that doesn’t happen.

By default, Rook configues Ceph to have 3 mon instances, in which case the data stored in dataDirHostPath can be regenerated from the other mon instances. So when performing maintenance on a Talos Linux node with a Rook Ceph cluster (e.g. upgrading the Talos Linux version), it is imperative that care be taken to maintain the health of the Ceph cluster. Before upgrading, you should always check the health status of the Ceph cluster to ensure that it is healthy.

$ kubectl --namespace rook-ceph get cephclusters.ceph.rook.io rook-ceph
NAME        DATADIRHOSTPATH   MONCOUNT   AGE   PHASE   MESSAGE                        HEALTH      EXTERNAL
rook-ceph   /var/lib/rook     3          98m   Ready   Cluster created successfully   HEALTH_OK

If it is, you can begin the upgrade process for the Talos Linux node, during which time the Ceph cluster will become unhealthy as the node is reconfigured. Before performing any other action on the Talos Linux nodes, the Ceph cluster must return to a healthy status.

$ talosctl upgrade --nodes 172.20.15.5 --image ghcr.io/talos-systems/installer:v0.14.3
NODE          ACK                        STARTED
172.20.15.5   Upgrade request received   2022-03-27 20:29:55.292432887 +0200 CEST m=+10.050399758

$ kubectl --namespace rook-ceph get cephclusters.ceph.rook.io
NAME        DATADIRHOSTPATH   MONCOUNT   AGE   PHASE         MESSAGE                   HEALTH        EXTERNAL
rook-ceph   /var/lib/rook     3          99m   Progressing   Configuring Ceph Mgr(s)   HEALTH_WARN

$ kubectl --namespace rook-ceph wait --timeout=1800s --for=jsonpath='{.status.ceph.health}=HEALTH_OK' rook-ceph
cephcluster.ceph.rook.io/rook-ceph condition met

The above steps need to be performed for each Talos Linux node undergoing maintenance, one at a time.

Cleaning Up

Rook Ceph Cluster Removal

Removing a Rook Ceph cluster requires a few steps, starting with signalling to Rook that the Ceph cluster is really being destroyed. Then all Persistent Volumes (and Claims) backed by the Ceph cluster must be deleted, followed by the Storage Classes and the Ceph storage types.

$ kubectl --namespace rook-ceph patch cephcluster rook-ceph --type merge -p '{"spec":{"cleanupPolicy":{"confirmation":"yes-really-destroy-data"}}}'
cephcluster.ceph.rook.io/rook-ceph patched

$ kubectl delete storageclasses ceph-block ceph-bucket ceph-filesystem
storageclass.storage.k8s.io "ceph-block" deleted
storageclass.storage.k8s.io "ceph-bucket" deleted
storageclass.storage.k8s.io "ceph-filesystem" deleted

$ kubectl --namespace rook-ceph delete cephblockpools ceph-blockpool
cephblockpool.ceph.rook.io "ceph-blockpool" deleted

$ kubectl --namespace rook-ceph delete cephobjectstore ceph-objectstore
cephobjectstore.ceph.rook.io "ceph-objectstore" deleted

$ kubectl --namespace rook-ceph delete cephfilesystem ceph-filesystem
cephfilesystem.ceph.rook.io "ceph-filesystem" deleted

Once that is complete, the Ceph cluster itself can be removed, along with the Rook Ceph cluster Helm chart installation.

$ kubectl --namespace rook-ceph delete cephcluster rook-ceph
cephcluster.ceph.rook.io "rook-ceph" deleted

$ helm --namespace rook-ceph uninstall rook-ceph-cluster
release "rook-ceph-cluster" uninstalled

If needed, the Rook Operator can also be removed along with all the Custom Resource Definitions that it created.

$ helm --namespace rook-ceph uninstall rook-ceph
W0328 12:41:14.998307  147203 warnings.go:70] policy/v1beta1 PodSecurityPolicy is deprecated in v1.21+, unavailable in v1.25+
These resources were kept due to the resource policy:
[CustomResourceDefinition] cephblockpools.ceph.rook.io
[CustomResourceDefinition] cephbucketnotifications.ceph.rook.io
[CustomResourceDefinition] cephbuckettopics.ceph.rook.io
[CustomResourceDefinition] cephclients.ceph.rook.io
[CustomResourceDefinition] cephclusters.ceph.rook.io
[CustomResourceDefinition] cephfilesystemmirrors.ceph.rook.io
[CustomResourceDefinition] cephfilesystems.ceph.rook.io
[CustomResourceDefinition] cephfilesystemsubvolumegroups.ceph.rook.io
[CustomResourceDefinition] cephnfses.ceph.rook.io
[CustomResourceDefinition] cephobjectrealms.ceph.rook.io
[CustomResourceDefinition] cephobjectstores.ceph.rook.io
[CustomResourceDefinition] cephobjectstoreusers.ceph.rook.io
[CustomResourceDefinition] cephobjectzonegroups.ceph.rook.io
[CustomResourceDefinition] cephobjectzones.ceph.rook.io
[CustomResourceDefinition] cephrbdmirrors.ceph.rook.io
[CustomResourceDefinition] objectbucketclaims.objectbucket.io
[CustomResourceDefinition] objectbuckets.objectbucket.io

release "rook-ceph" uninstalled

$ kubectl delete crds cephblockpools.ceph.rook.io cephbucketnotifications.ceph.rook.io cephbuckettopics.ceph.rook.io \
                      cephclients.ceph.rook.io cephclusters.ceph.rook.io cephfilesystemmirrors.ceph.rook.io \
                      cephfilesystems.ceph.rook.io cephfilesystemsubvolumegroups.ceph.rook.io \
                      cephnfses.ceph.rook.io cephobjectrealms.ceph.rook.io cephobjectstores.ceph.rook.io \
                      cephobjectstoreusers.ceph.rook.io cephobjectzonegroups.ceph.rook.io cephobjectzones.ceph.rook.io \
                      cephrbdmirrors.ceph.rook.io objectbucketclaims.objectbucket.io objectbuckets.objectbucket.io
customresourcedefinition.apiextensions.k8s.io "cephblockpools.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephbucketnotifications.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephbuckettopics.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephclients.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephclusters.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephfilesystemmirrors.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephfilesystems.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephfilesystemsubvolumegroups.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephnfses.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephobjectrealms.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephobjectstores.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephobjectstoreusers.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephobjectzonegroups.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephobjectzones.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "cephrbdmirrors.ceph.rook.io" deleted
customresourcedefinition.apiextensions.k8s.io "objectbucketclaims.objectbucket.io" deleted
customresourcedefinition.apiextensions.k8s.io "objectbuckets.objectbucket.io" deleted

Talos Linux Rook Metadata Removal

If the Rook Operator is cleanly removed following the above process, the node metadata and disks should be clean and ready to be re-used. In the case of an unclean cluster removal, there may be still a few instances of metadata stored on the system disk, as well as the partition information on the storage disks. First the node metadata needs to be removed, make sure to update the nodeName with the actual name of a storage node that needs cleaning, and path with the Rook configuration dataDirHostPath set when installing the chart. The following will need to be repeated for each node used in the Rook Ceph cluster.

$ cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: Pod
metadata:
  name: disk-clean
spec:
  restartPolicy: Never
  nodeName: <storage-node-name>
  volumes:
  - name: rook-data-dir
    hostPath:
      path: <dataDirHostPath>
  containers:
  - name: disk-clean
    image: busybox
    securityContext:
      privileged: true
    volumeMounts:
    - name: rook-data-dir
      mountPath: /node/rook-data
    command: ["/bin/sh", "-c", "rm -rf /node/rook-data/*"]
EOF
pod/disk-clean created

$ kubectl wait --timeout=900s --for=jsonpath='{.status.phase}=Succeeded' pod disk-clean
pod/disk-clean condition met

$ kubectl delete pod disk-clean
pod "disk-clean" deleted

Lastly, the disks themselves need the partition and filesystem data wiped before they can be reused. Again, the following as to be repeated for each node and disk used in the Rook Ceph cluster, updating nodeName and of= in the command as needed.

$ cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: Pod
metadata:
  name: disk-wipe
spec:
  restartPolicy: Never
  nodeName: <storage-node-name>
  containers:
  - name: disk-wipe
    image: busybox
    securityContext:
      privileged: true
    command: ["/bin/sh", "-c", "dd if=/dev/zero bs=1M count=100 oflag=direct of=<device>"]
EOF
pod/disk-wipe created

$ kubectl wait --timeout=900s --for=jsonpath='{.status.phase}=Succeeded' pod disk-wipe
pod/disk-wipe condition met

$ kubectl delete pod disk-clean
pod "disk-wipe" deleted

3.1.2 - Cluster Endpoint

How to explicitly set up an endpoint for the cluster API

In this section, we will step through the configuration of a Talos based Kubernetes cluster. There are three major components we will configure:

  • apid and talosctl
  • the controlplane nodes
  • the worker nodes

Talos enforces a high level of security by using mutual TLS for authentication and authorization.

We recommend that the configuration of Talos be performed by a cluster owner. A cluster owner should be a person of authority within an organization, perhaps a director, manager, or senior member of a team. They are responsible for storing the root CA, and distributing the PKI for authorized cluster administrators.

Talos runs great out of the box, but if you tweak some minor settings it will make your life a lot easier in the future. This is not a requirement, but rather a document to explain some key settings.

Endpoint

To configure the talosctl endpoint, it is recommended you use a resolvable DNS name. This way, if you decide to upgrade to a multi-controlplane cluster you only have to add the ip address to the hostname configuration. The configuration can either be done on a Loadbalancer, or simply trough DNS.

For example:

This is in the config file for the cluster e.g. controlplane.yaml and worker.yaml. for more details, please see: v1alpha1 endpoint configuration

.....
cluster:
  controlPlane:
    endpoint: https://endpoint.example.local:6443
.....

If you have a DNS name as the endpoint, you can upgrade your talos cluster with multiple controlplanes in the future (if you don’t have a multi-controlplane setup from the start) Using a DNS name generates the corresponding Certificates (Kubernetes and Talos) for the correct hostname.

3.1.3 - Deploying Metrics Server

In this guide you will learn how to set up metrics-server.

Metrics Server enables use of the Horizontal Pod Autoscaler and Vertical Pod Autoscaler. It does this by gathering metrics data from the kubelets in a cluster. By default, the certificates in use by the kubelets will not be recognized by metrics-server. This can be solved by either configuring metrics-server to do no validation of the TLS certificates, or by modifying the kubelet configuration to rotate its certificates and use ones that will be recognized by metrics-server.

Node Configuration

To enable kubelet certificate rotation, all nodes should have the following Machine Config snippet:

machine:
  kubelet:
    extraArgs:
      rotate-server-certificates: true

Install During Bootstrap

We will want to ensure that new certificates for the kubelets are approved automatically. This can easily be done with the Kubelet Serving Certificate Approver, which will automatically approve the Certificate Signing Requests generated by the kubelets.

We can have Kubelet Serving Certificate Approver and metrics-server installed on the cluster automatically during bootstrap by adding the following snippet to the Cluster Config of the node that will be handling the bootstrap process:

cluster:
  extraManifests:
    - https://raw.githubusercontent.com/alex1989hu/kubelet-serving-cert-approver/main/deploy/standalone-install.yaml
    - https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

Install After Bootstrap

If you choose not to use extraManifests to install Kubelet Serving Certificate Approver and metrics-server during bootstrap, you can install them once the cluster is online using kubectl:

kubectl apply -f https://raw.githubusercontent.com/alex1989hu/kubelet-serving-cert-approver/main/deploy/standalone-install.yaml
kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

3.1.4 - Discovery

How to use Talos Linux cluster discovery

Video Walkthrough

To see a live demo of Cluster Discovery, see the video below:

Registries

Peers are aggregated from a number of optional registries. By default, Talos will use the service registry, while kubernetes registry is not enabled. Either one can be disabled. To disable a registry, set disabled to true (this option is the same for all registries): For example, to disable the service registry:

cluster:
  discovery:
    enabled: true
    registries:
      service:
        disabled: true

Disabling all registries effectively disables member discovery altogether.

Talos supports the kubernetes and service registries.

Kubernetes registry uses Kubernetes Node resource data and additional Talos annotations:

$ kubectl describe node <nodename>
Annotations:        cluster.talos.dev/node-id: Utoh3O0ZneV0kT2IUBrh7TgdouRcUW2yzaaMl4VXnCd
                    networking.talos.dev/assigned-prefixes: 10.244.0.0/32,10.244.0.1/24
                    networking.talos.dev/self-ips: 172.20.0.2,fd83:b1f7:fcb5:2802:8c13:71ff:feaf:7c94
...

Service registry uses external Discovery Service to exchange encrypted information about cluster members.

Resource Definitions

Talos provides seven resources that can be used to introspect the new discovery and KubeSpan features.

Discovery

Identities

The node’s unique identity (base62 encoded random 32 bytes) can be obtained with:

Note: Using base62 allows the ID to be URL encoded without having to use the ambiguous URL-encoding version of base64.

$ talosctl get identities -o yaml
...
spec:
    nodeId: Utoh3O0ZneV0kT2IUBrh7TgdouRcUW2yzaaMl4VXnCd

Node identity is used as the unique Affiliate identifier.

Node identity resource is preserved in the STATE partition in node-identity.yaml file. Node identity is preserved across reboots and upgrades, but it is regenerated if the node is reset (wiped).

Affiliates

An affiliate is a proposed member attributed to the fact that the node has the same cluster ID and secret.

$ talosctl get affiliates
ID                                             VERSION   HOSTNAME                       MACHINE TYPE   ADDRESSES
2VfX3nu67ZtZPl57IdJrU87BMjVWkSBJiL9ulP9TCnF    2         talos-default-controlplane-2   controlplane   ["172.20.0.3","fd83:b1f7:fcb5:2802:986b:7eff:fec5:889d"]
6EVq8RHIne03LeZiJ60WsJcoQOtttw1ejvTS6SOBzhUA   2         talos-default-worker-1         worker         ["172.20.0.5","fd83:b1f7:fcb5:2802:cc80:3dff:fece:d89d"]
NVtfu1bT1QjhNq5xJFUZl8f8I8LOCnnpGrZfPpdN9WlB   2         talos-default-worker-2         worker         ["172.20.0.6","fd83:b1f7:fcb5:2802:2805:fbff:fe80:5ed2"]
Utoh3O0ZneV0kT2IUBrh7TgdouRcUW2yzaaMl4VXnCd    4         talos-default-controlplane-1   controlplane   ["172.20.0.2","fd83:b1f7:fcb5:2802:8c13:71ff:feaf:7c94"]
b3DebkPaCRLTLLWaeRF1ejGaR0lK3m79jRJcPn0mfA6C   2         talos-default-controlplane-3   controlplane   ["172.20.0.4","fd83:b1f7:fcb5:2802:248f:1fff:fe5c:c3f"]

One of the Affiliates with the ID matching node identity is populated from the node data, other Affiliates are pulled from the registries. Enabled discovery registries run in parallel and discovered data is merged to build the list presented above.

Details about data coming from each registry can be queried from the cluster-raw namespace:

$ talosctl get affiliates --namespace=cluster-raw
ID                                                     VERSION   HOSTNAME                       MACHINE TYPE   ADDRESSES
k8s/2VfX3nu67ZtZPl57IdJrU87BMjVWkSBJiL9ulP9TCnF        3         talos-default-controlplane-2   controlplane   ["172.20.0.3","fd83:b1f7:fcb5:2802:986b:7eff:fec5:889d"]
k8s/6EVq8RHIne03LeZiJ60WsJcoQOtttw1ejvTS6SOBzhUA       2         talos-default-worker-1         worker         ["172.20.0.5","fd83:b1f7:fcb5:2802:cc80:3dff:fece:d89d"]
k8s/NVtfu1bT1QjhNq5xJFUZl8f8I8LOCnnpGrZfPpdN9WlB       2         talos-default-worker-2         worker         ["172.20.0.6","fd83:b1f7:fcb5:2802:2805:fbff:fe80:5ed2"]
k8s/b3DebkPaCRLTLLWaeRF1ejGaR0lK3m79jRJcPn0mfA6C       3         talos-default-controlplane-3   controlplane   ["172.20.0.4","fd83:b1f7:fcb5:2802:248f:1fff:fe5c:c3f"]
service/2VfX3nu67ZtZPl57IdJrU87BMjVWkSBJiL9ulP9TCnF    23        talos-default-controlplane-2   controlplane   ["172.20.0.3","fd83:b1f7:fcb5:2802:986b:7eff:fec5:889d"]
service/6EVq8RHIne03LeZiJ60WsJcoQOtttw1ejvTS6SOBzhUA   26        talos-default-worker-1         worker         ["172.20.0.5","fd83:b1f7:fcb5:2802:cc80:3dff:fece:d89d"]
service/NVtfu1bT1QjhNq5xJFUZl8f8I8LOCnnpGrZfPpdN9WlB   20        talos-default-worker-2         worker         ["172.20.0.6","fd83:b1f7:fcb5:2802:2805:fbff:fe80:5ed2"]
service/b3DebkPaCRLTLLWaeRF1ejGaR0lK3m79jRJcPn0mfA6C   14        talos-default-controlplane-3   controlplane   ["172.20.0.4","fd83:b1f7:fcb5:2802:248f:1fff:fe5c:c3f"]

Each Affiliate ID is prefixed with k8s/ for data coming from the Kubernetes registry and with service/ for data coming from the discovery service.

Members

A member is an affiliate that has been approved to join the cluster. The members of the cluster can be obtained with:

$ talosctl get members
ID                             VERSION   HOSTNAME                       MACHINE TYPE   OS                ADDRESSES
talos-default-controlplane-1   2         talos-default-controlplane-1   controlplane   Talos (v1.2.8)   ["172.20.0.2","fd83:b1f7:fcb5:2802:8c13:71ff:feaf:7c94"]
talos-default-controlplane-2   1         talos-default-controlplane-2   controlplane   Talos (v1.2.8)   ["172.20.0.3","fd83:b1f7:fcb5:2802:986b:7eff:fec5:889d"]
talos-default-controlplane-3   1         talos-default-controlplane-3   controlplane   Talos (v1.2.8)   ["172.20.0.4","fd83:b1f7:fcb5:2802:248f:1fff:fe5c:c3f"]
talos-default-worker-1         1         talos-default-worker-1         worker         Talos (v1.2.8)   ["172.20.0.5","fd83:b1f7:fcb5:2802:cc80:3dff:fece:d89d"]
talos-default-worker-2         1         talos-default-worker-2         worker         Talos (v1.2.8)   ["172.20.0.6","fd83:b1f7:fcb5:2802:2805:fbff:fe80:5ed2"]

3.1.5 - iSCSI Storage with Synology CSI

Automatically provision iSCSI volumes on a Synology NAS with the synology-csi driver.

Background

Synology is a company that specializes in Network Attached Storage (NAS) devices. They provide a number of features within a simple web OS, including an LDAP server, Docker support, and (perhaps most relevant to this guide) function as an iSCSI host. The focus of this guide is to allow a Kubernetes cluster running on Talos to provision Kubernetes storage (both dynamic or static) on a Synology NAS using a direct integration, rather than relying on an intermediary layer like Rook/Ceph or Maystor.

This guide assumes a very basic familiarity with iSCSI terminology (LUN, iSCSI target, etc.).

Prerequisites

  • Synology NAS running DSM 7.0 or above
  • Provisioned Talos cluster running Kubernetes v1.20 or above
  • (Optional) Both Volume Snapshot CRDs and the common snapshot controller must be installed in your Kubernetes cluster if you want to use the Snapshot feature

Setting up the Synology user account

The synology-csi controller interacts with your NAS in two different ways: via the API and via the iSCSI protocol. Actions such as creating a new iSCSI target or deleting an old one are accomplished via the Synology API, and require administrator access. On the other hand, mounting the disk to a pod and reading from / writing to it will utilize iSCSI. Because you can only authenticate with one account per DSM configured, that account needs to have admin privileges. In order to minimize access in the case of these credentials being compromised, you should configure the account with the lease possible amount of access – explicitly specify “No Access” on all volumes when configuring the user permissions.

Setting up the Synology CSI

Note: this guide is paraphrased from the Synology CSI readme. Please consult the readme for more in-depth instructions and explanations.

Clone the git repository.

git clone https://github.com/zebernst/synology-csi-talos.git

While Synology provides some automated scripts to deploy the CSI driver, they can be finicky especially when making changes to the source code. We will be configuring and deploying things manually in this guide.

The relevant files we will be touching are in the following locations:

.
├── Dockerfile
├── Makefile
├── config
│   └── client-info-template.yml
└── deploy
    └── kubernetes
        └── v1.20
            ├── controller.yml
            ├── csi-driver.yml
            ├── namespace.yml
            ├── node.yml
            ├── snapshotter
            │   ├── snapshotter.yaml
            │   └── volume-snapshot-class.yml
            └── storage-class.yml

Configure connection info

Use config/client-info-template.yml as an example to configure the connection information for DSM. You can specify one or more storage systems on which the CSI volumes will be created. See below for an example:

---
clients:
- host: 192.168.1.1   # ipv4 address or domain of the DSM
  port: 5000          # port for connecting to the DSM
  https: false        # set this true to use https. you need to specify the port to DSM HTTPS port as well
  username: username  # username
  password: password  # password

Create a Kubernetes secret using the client information config file.

kubectl create secret -n synology-csi generic client-info-secret --from-file=config/client-info.yml

Note that if you rename the secret to something other than client-info-secret, make sure you update the corresponding references in the deployment manifests as well.

Build the Talos-compatible image

Modify the Makefile so that the image is built and tagged under your GitHub Container Registry username:

REGISTRY_NAME=ghcr.io/<username>

When you run make docker-build or make docker-build-multiarch, it will push the resulting image to ghcr.io/<username>/synology-csi:v1.1.0. Ensure that you find and change any reference to synology/synology-csi:v1.1.0 to point to your newly-pushed image within the deployment manifests.

Configure the CSI driver

By default, the deployment manifests include one storage class and one volume snapshot class. See below for examples:

---
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  annotations:
    storageclass.kubernetes.io/is-default-class: "false"
  name: syno-storage
provisioner: csi.san.synology.com
parameters:
  fsType: 'ext4'
  dsm: '192.168.1.1'
  location: '/volume1'
reclaimPolicy: Retain
allowVolumeExpansion: true
---
apiVersion: snapshot.storage.k8s.io/v1
kind: VolumeSnapshotClass
metadata:
  name: syno-snapshot
  annotations:
    storageclass.kubernetes.io/is-default-class: "false"
driver: csi.san.synology.com
deletionPolicy: Delete
parameters:
  description: 'Kubernetes CSI'

It can be useful to configure multiple different StorageClasses. For example, a popular strategy is to create two nearly identical StorageClasses, with one configured with reclaimPolicy: Retain and the other with reclaimPolicy: Delete. Alternately, a workload may require a specific filesystem, such as ext4. If a Synology NAS is going to be the most common way to configure storage on your cluster, it can be convenient to add the storageclass.kubernetes.io/is-default-class: "true" annotation to one of your StorageClasses.

The following table details the configurable parameters for the Synology StorageClass.

NameTypeDescriptionDefaultSupported protocols
dsmstringThe IPv4 address of your DSM, which must be included in the client-info.yml for the CSI driver to log in to DSM-iSCSI, SMB
locationstringThe location (/volume1, /volume2, …) on DSM where the LUN for PersistentVolume will be created-iSCSI, SMB
fsTypestringThe formatting file system of the PersistentVolumes when you mount them on the pods. This parameter only works with iSCSI. For SMB, the fsType is always ‘cifs‘.ext4iSCSI
protocolstringThe backing storage protocol. Enter ‘iscsi’ to create LUNs or ‘smb‘ to create shared folders on DSM.iscsiiSCSI, SMB
csi.storage.k8s.io/node-stage-secret-namestringThe name of node-stage-secret. Required if DSM shared folder is accessed via SMB.-SMB
csi.storage.k8s.io/node-stage-secret-namespacestringThe namespace of node-stage-secret. Required if DSM shared folder is accessed via SMB.-SMB

The VolumeSnapshotClass can be similarly configured with the following parameters:

NameTypeDescriptionDefaultSupported protocols
descriptionstringThe description of the snapshot on DSM-iSCSI
is_lockedstringWhether you want to lock the snapshot on DSMfalseiSCSI, SMB

Apply YAML manifests

Once you have created the desired StorageClass(es) and VolumeSnapshotClass(es), the final step is to apply the Kubernetes manifests against the cluster. The easiest way to apply them all at once is to create a kustomization.yaml file in the same directory as the manifests and use Kustomize to apply:

kubectl apply -k path/to/manifest/directory

Alternately, you can apply each manifest one-by-one:

kubectl apply -f <file>

Run performance tests

In order to test the provisioning, mounting, and performance of using a Synology NAS as Kubernetes persistent storage, use the following command:

kubectl apply -f speedtest.yaml

Content of speedtest.yaml (source)

kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: test-claim
spec:
#  storageClassName: syno-storage
  accessModes:
  - ReadWriteMany
  resources:
    requests:
      storage: 5G
---
apiVersion: batch/v1
kind: Job
metadata:
  name: read
spec:
  template:
    metadata:
      name: read
      labels:
        app: speedtest
        job: read
    spec:
      containers:
      - name: read
        image: ubuntu:xenial
        command: ["dd","if=/mnt/pv/test.img","of=/dev/null","bs=8k"]
        volumeMounts:
        - mountPath: "/mnt/pv"
          name: test-volume
      volumes:
      - name: test-volume
        persistentVolumeClaim:
          claimName: test-claim
      restartPolicy: Never
---
apiVersion: batch/v1
kind: Job
metadata:
  name: write
spec:
  template:
    metadata:
      name: write
      labels:
        app: speedtest
        job: write
    spec:
      containers:
      - name: write
        image: ubuntu:xenial
        command: ["dd","if=/dev/zero","of=/mnt/pv/test.img","bs=1G","count=1","oflag=dsync"]
        volumeMounts:
        - mountPath: "/mnt/pv"
          name: test-volume
      volumes:
      - name: test-volume
        persistentVolumeClaim:
          claimName: test-claim
      restartPolicy: Never

If these two jobs complete successfully, use the following commands to get the results of the speed tests:

# Pod logs for read test:
kubectl logs -l app=speedtest,job=read

# Pod logs for write test:
kubectl logs -l app=speedtest,job=write

When you’re satisfied with the results of the test, delete the artifacts created from the speedtest:

kubectl delete -f speedtest.yaml

3.1.6 - Local Storage

Using local storage with OpenEBS Jiva

If you want to use replicated storage leveraging disk space from a local disk with Talos Linux installed, OpenEBS Jiva is a great option. This requires installing the iscsi-tools system extension.

Since OpenEBS Jiva is a replicated storage, it’s recommended to have at least three nodes where sufficient local disk space is available. The documentation will follow installing OpenEBS Jiva via the offical Helm chart. Since Talos is different from standard Operating Systems, the OpenEBS components need a little tweaking after the Helm installation. Refer to the OpenEBS Jiva documentation if you need further customization.

NB: Also note that the Talos nodes need to be upgraded with --preserve set while running OpenEBS Jiva, otherwise you risk losing data. Even though it’s possible to recover data from other replicas if the node is wiped during an upgrade, this can require extra operational knowledge to recover, so it’s highly recommended to use --preserve to avoid data loss.

Preparing the nodes

Create a machine config patch with the contents below and save as patch.yaml

- op: add
  path: /machine/install/extensions
  value:
    - image: ghcr.io/siderolabs/iscsi-tools:v0.1.1
- op: add
  path: /machine/kubelet/extraMounts
  value:
    - destination: /var/openebs/local
      type: bind
      source: /var/openebs/local
      options:
        - bind
        - rshared
        - rw

Apply the machine config to all the nodes using talosctl:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> patch mc -p @patch.yaml

To install the system extension, the node needs to be upgraded. If there is no new release of Talos, the node can be upgraded to the same version as the existing Talos version.

Run the following command on each nodes subsequently:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> upgrade --image=ghcr.io/siderolabs/installer:v1.2.8

Once the node has upgraded and booted successfully the extension status can be verfied by running the following command:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> get extensions

An output similar to below can be observed:

NODE            NAMESPACE   TYPE              ID                                          VERSION   NAME          VERSION
192.168.20.61   runtime     ExtensionStatus   000.ghcr.io-siderolabs-iscsi-tools-v0.1.1   1         iscsi-tools   v0.1.1

The service status can be checked by running the following command:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> services

You should see that the ext-tgtd and the ext-iscsid services are running.

NODE            SERVICE      STATE     HEALTH   LAST CHANGE     LAST EVENT
192.168.20.51   apid         Running   OK       64h57m15s ago   Health check successful
192.168.20.51   containerd   Running   OK       64h57m23s ago   Health check successful
192.168.20.51   cri          Running   OK       64h57m20s ago   Health check successful
192.168.20.51   etcd         Running   OK       64h55m29s ago   Health check successful
192.168.20.51   ext-iscsid   Running   ?        64h57m19s ago   Started task ext-iscsid (PID 4040) for container ext-iscsid
192.168.20.51   ext-tgtd     Running   ?        64h57m19s ago   Started task ext-tgtd (PID 3999) for container ext-tgtd
192.168.20.51   kubelet      Running   OK       38h14m10s ago   Health check successful
192.168.20.51   machined     Running   ?        64h57m29s ago   Service started as goroutine
192.168.20.51   trustd       Running   OK       64h57m19s ago   Health check successful
192.168.20.51   udevd        Running   OK       64h57m21s ago   Health check successful

Install OpenEBS Jiva

helm repo add openebs-jiva https://openebs.github.io/jiva-operator
helm repo update
helm upgrade --install --create-namespace --namespace openebs --version 3.2.0 openebs-jiva openebs-jiva/jiva

This will create a storage class named openebs-jiva-csi-default which can be used for workloads. The storage class named openebs-hostpath is used by jiva to create persistent volumes backed by local storage and then used for replicated storage by the jiva controller.

Patching the jiva installation

Since Jiva assumes iscisd to be running natively on the host and not as a Talos extension service, we need to modify the CSI node daemonset to enable it to find the PID of the iscsid service. The default config map used by Jiva also needs to be modified so that it can execute iscsiadm commands inside the PID namespace of the iscsid service.

Start by creating a configmap definition named config.yaml as below:

apiVersion: v1
kind: ConfigMap
metadata:
  labels:
    app.kubernetes.io/managed-by: pulumi
  name: openebs-jiva-csi-iscsiadm
  namespace: openebs
data:
  iscsiadm: |
    #!/bin/sh
    iscsid_pid=$(pgrep iscsid)

    nsenter --mount="/proc/${iscsid_pid}/ns/mnt" --net="/proc/${iscsid_pid}/ns/net" -- /usr/local/sbin/iscsiadm "$@"    

Replace the existing config map with the above config map by running the following command:

kubectl --namespace openebs apply --filename config.yaml

Now we need to update the jiva CSI daemonset to run with hostPID: true so it can find the PID of the iscsid service, by running the following command:

kubectl --namespace openebs patch daemonset openebs-jiva-csi-node --type=json --patch '[{"op": "add", "path": "/spec/template/spec/hostPID", "value": true}]'

Testing a simple workload

In order to test the Jiva installation, let’s first create a PVC referencing the openebs-jiva-csi-default storage class:

kind: PersistentVolumeClaim
apiVersion: v1
metadata:
  name: example-jiva-csi-pvc
spec:
  storageClassName: openebs-jiva-csi-default
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 4Gi

and then create a deployment using the above PVC:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: fio
spec:
  selector:
    matchLabels:
      name: fio
  replicas: 1
  strategy:
    type: Recreate
    rollingUpdate: null
  template:
    metadata:
      labels:
        name: fio
    spec:
      containers:
      - name: perfrunner
        image: openebs/tests-fio
        command: ["/bin/bash"]
        args: ["-c", "while true ;do sleep 50; done"]
        volumeMounts:
        - mountPath: /datadir
          name: fio-vol
      volumes:
      - name: fio-vol
        persistentVolumeClaim:
          claimName: example-jiva-csi-pvc

You can clean up the test resources by running the following command:

kubectl delete deployment fio
kubectl delete pvc example-jiva-csi-pvc

3.1.7 - Pod Security

Enabling Pod Security Admission plugin to configure Pod Security Standards.

Kubernetes deprecated Pod Security Policy as of v1.21, and it is going to be removed in v1.25. Pod Security Policy was replaced with Pod Security Admission. Pod Security Admission is alpha in v1.22 (requires a feature gate) and beta in v1.23 (enabled by default).

In this guide we are going to enable and configure Pod Security Admission in Talos.

Configuration

Talos provides default Pod Security Admission in the machine configuration:

apiVersion: pod-security.admission.config.k8s.io/v1alpha1
kind: PodSecurityConfiguration
defaults:
    enforce: "baseline"
    enforce-version: "latest"
    audit: "restricted"
    audit-version: "latest"
    warn: "restricted"
    warn-version: "latest"
exemptions:
    usernames: []
    runtimeClasses: []
    namespaces: [kube-system]

This is a cluster-wide configuration for the Pod Security Admission plugin:

  • by default baseline Pod Security Standard profile is enforced
  • more strict restricted profile is not enforced, but API server warns about found issues

This default policy can be modified by updating the generated machine configuration before the cluster is created or on the fly by using the talosctl CLI utility.

Verify current admission plugin configuration with:

$ talosctl get admissioncontrolconfigs.kubernetes.talos.dev admission-control -o yaml
node: 172.20.0.2
metadata:
    namespace: controlplane
    type: AdmissionControlConfigs.kubernetes.talos.dev
    id: admission-control
    version: 1
    owner: config.K8sControlPlaneController
    phase: running
    created: 2022-02-22T20:28:21Z
    updated: 2022-02-22T20:28:21Z
spec:
    config:
        - name: PodSecurity
          configuration:
            apiVersion: pod-security.admission.config.k8s.io/v1alpha1
            defaults:
                audit: restricted
                audit-version: latest
                enforce: baseline
                enforce-version: latest
                warn: restricted
                warn-version: latest
            exemptions:
                namespaces:
                    - kube-system
                runtimeClasses: []
                usernames: []
            kind: PodSecurityConfiguration

Usage

Create a deployment that satisfies the baseline policy but gives warnings on restricted policy:

$ kubectl create deployment nginx --image=nginx
Warning: would violate PodSecurity "restricted:latest": allowPrivilegeEscalation != false (container "nginx" must set securityContext.allowPrivilegeEscalation=false), unrestricted capabilities (container "nginx" must set securityContext.capabilities.drop=["ALL"]), runAsNonRoot != true (pod or container "nginx" must set securityContext.runAsNonRoot=true), seccompProfile (pod or container "nginx" must set securityContext.seccompProfile.type to "RuntimeDefault" or "Localhost")
deployment.apps/nginx created
$ kubectl get pods
NAME                     READY   STATUS    RESTARTS   AGE
nginx-85b98978db-j68l8   1/1     Running   0          2m3s

Create a daemonset which fails to meet requirements of the baseline policy:

apiVersion: apps/v1
kind: DaemonSet
metadata:
  labels:
    app: debug-container
  name: debug-container
  namespace: default
spec:
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      app: debug-container
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: debug-container
    spec:
      containers:
      - args:
        - "360000"
        command:
        - /bin/sleep
        image: ubuntu:latest
        imagePullPolicy: IfNotPresent
        name: debug-container
        resources: {}
        securityContext:
          privileged: true
        terminationMessagePath: /dev/termination-log
        terminationMessagePolicy: File
      dnsPolicy: ClusterFirstWithHostNet
      hostIPC: true
      hostPID: true
      hostNetwork: true
      restartPolicy: Always
      schedulerName: default-scheduler
      securityContext: {}
      terminationGracePeriodSeconds: 30
  updateStrategy:
    rollingUpdate:
      maxSurge: 0
      maxUnavailable: 1
    type: RollingUpdate
$ kubectl apply -f debug.yaml
Warning: would violate PodSecurity "restricted:latest": host namespaces (hostNetwork=true, hostPID=true, hostIPC=true), privileged (container "debug-container" must not set securityContext.privileged=true), allowPrivilegeEscalation != false (container "debug-container" must set securityContext.allowPrivilegeEscalation=false), unrestricted capabilities (container "debug-container" must set securityContext.capabilities.drop=["ALL"]), runAsNonRoot != true (pod or container "debug-container" must set securityContext.runAsNonRoot=true), seccompProfile (pod or container "debug-container" must set securityContext.seccompProfile.type to "RuntimeDefault" or "Localhost")
daemonset.apps/debug-container created

Daemonset debug-container gets created, but no pods are scheduled:

$ kubectl get ds
NAME              DESIRED   CURRENT   READY   UP-TO-DATE   AVAILABLE   NODE SELECTOR   AGE
debug-container   0         0         0       0            0           <none>          34s

Pod Security Admission plugin errors are in the daemonset events:

$ kubectl describe ds debug-container
...
  Warning  FailedCreate  92s                daemonset-controller  Error creating: pods "debug-container-kwzdj" is forbidden: violates PodSecurity "baseline:latest": host namespaces (hostNetwork=true, hostPID=true, hostIPC=true), privileged (container "debug-container" must not set securityContext.privileged=true)

Pod Security Admission configuration can also be overridden on a namespace level:

$ kubectl label ns default pod-security.kubernetes.io/enforce=privileged
namespace/default labeled
$ kubectl get ds
NAME              DESIRED   CURRENT   READY   UP-TO-DATE   AVAILABLE   NODE SELECTOR   AGE
debug-container   2         2         0       2            0           <none>          4s

As enforce policy was updated to the privileged for the default namespace, debug-container is now successfully running.

3.1.8 - Seccomp Profiles

Using custom Seccomp Profiles with Kubernetes workloads.

Seccomp stands for secure computing mode and has been a feature of the Linux kernel since version 2.6.12. It can be used to sandbox the privileges of a process, restricting the calls it is able to make from userspace into the kernel.

Refer the Kubernetes Seccomp Guide for more details.

In this guide we are going to configure a custom Seccomp Profile that logs all syscalls made by the workload.

Preparing the nodes

Create a machine config path with the contents below and save as patch.yaml

machine:
  seccompProfiles:
    - name: audit.json
      value:
        defaultAction: SCMP_ACT_LOG

Apply the machine config to all the nodes using talosctl:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> patch mc -p @patch.yaml

This would create a seccomp profile name audit.json on the node at /var/lib/kubelet/seccomp/profiles.

The profiles can be used by Kubernetes pods by specfying the pod securityContext as below:

spec:
  securityContext:
    seccompProfile:
      type: Localhost
      localhostProfile: profiles/audit.json

Note that the localhostProfile uses the name of the profile created under profiles directory. So make sure to use path as profiles/<profile-name.json>

This can be verfied by running the below commands:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> get seccompprofiles

An output similar to below can be observed:

NODE       NAMESPACE   TYPE             ID           VERSION
10.5.0.3   cri         SeccompProfile   audit.json   1

The content of the seccomp profile can be viewed by running the below command:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> read /var/lib/kubelet/seccomp/profiles/audit.json

An output similar to below can be observed:

{"defaultAction":"SCMP_ACT_LOG"}

Create a Kubernetes workload that uses the custom Seccomp Profile

Here we’ll be using an example workload from the Kubernetes documentation.

First open up a second terminal and run the following talosctl command so that we can view the Syscalls being logged in realtime:

talosctl -e <endpoint ip/hostname> -n <node ip/hostname> dmesg --follow --tail

Now deploy the example workload from the Kubernetes documentation:

kubectl apply -f https://k8s.io/examples/pods/security/seccomp/ga/audit-pod.yaml

Once the pod starts running the terminal running talosctl dmesg command from above should log similar to below:

10.5.0.3: kern:    info: [2022-07-28T11:49:42.489473063Z]: cni0: port 1(veth32488a86) entered blocking state
10.5.0.3: kern:    info: [2022-07-28T11:49:42.490852063Z]: cni0: port 1(veth32488a86) entered disabled state
10.5.0.3: kern:    info: [2022-07-28T11:49:42.492470063Z]: device veth32488a86 entered promiscuous mode
10.5.0.3: kern:    info: [2022-07-28T11:49:42.503105063Z]: IPv6: ADDRCONF(NETDEV_CHANGE): eth0: link becomes ready
10.5.0.3: kern:    info: [2022-07-28T11:49:42.503944063Z]: IPv6: ADDRCONF(NETDEV_CHANGE): veth32488a86: link becomes ready
10.5.0.3: kern:    info: [2022-07-28T11:49:42.504764063Z]: cni0: port 1(veth32488a86) entered blocking state
10.5.0.3: kern:    info: [2022-07-28T11:49:42.505423063Z]: cni0: port 1(veth32488a86) entered forwarding state
10.5.0.3: kern: warning: [2022-07-28T11:49:44.873616063Z]: kauditd_printk_skb: 14 callbacks suppressed
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.873619063Z]: audit: type=1326 audit(1659008985.445:25): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=3 compat=0 ip=0x55ec0657bd3b code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.876609063Z]: audit: type=1326 audit(1659008985.445:26): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=3 compat=0 ip=0x55ec0657bd3b code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.878789063Z]: audit: type=1326 audit(1659008985.449:27): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=257 compat=0 ip=0x55ec0657bdaa code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.886693063Z]: audit: type=1326 audit(1659008985.461:28): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=202 compat=0 ip=0x55ec06532b43 code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.888764063Z]: audit: type=1326 audit(1659008985.461:29): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=202 compat=0 ip=0x55ec06532b43 code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.891009063Z]: audit: type=1326 audit(1659008985.461:30): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=1 compat=0 ip=0x55ec0657bd3b code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.893162063Z]: audit: type=1326 audit(1659008985.461:31): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=3 compat=0 ip=0x55ec0657bd3b code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.895365063Z]: audit: type=1326 audit(1659008985.461:32): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=39 compat=0 ip=0x55ec066eb68b code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.898306063Z]: audit: type=1326 audit(1659008985.461:33): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="runc:[2:INIT]" exe="/" sig=0 arch=c000003e syscall=59 compat=0 ip=0x55ec0657be16 code=0x7ffc0000
10.5.0.3: kern:  notice: [2022-07-28T11:49:44.901518063Z]: audit: type=1326 audit(1659008985.473:34): auid=4294967295 uid=0 gid=0 ses=4294967295 pid=2784 comm="http-echo" exe="/http-echo" sig=0 arch=c000003e syscall=158 compat=0 ip=0x455f35 code=0x7ffc0000

Cleanup

You can clean up the test resources by running the following command:

kubectl delete pod audit-pod

3.1.9 - Storage

Setting up storage for a Kubernetes cluster

In Kubernetes, using storage in the right way is well-facilitated by the API.
However, unless you are running in a major public cloud, that API may not be hooked up to anything. This frequently sends users down a rabbit hole of researching all the various options for storage backends for their platform, for Kubernetes, and for their workloads. There are a lot of options out there, and it can be fairly bewildering.

For Talos, we try to limit the options somewhat to make the decision-making easier.

Public Cloud

If you are running on a major public cloud, use their block storage. It is easy and automatic.

Storage Clusters

Sidero Labs recommends having separate disks (apart from the Talos install disk) to be used for storage.

Redundancy, scaling capabilities, reliability, speed, maintenance load, and ease of use are all factors you must consider when managing your own storage.

Running a storage cluster can be a very good choice when managing your own storage, and there are two projects we recommend, depending on your situation.

If you need vast amounts of storage composed of more than a dozen or so disks, we recommend you use Rook to manage Ceph. Also, if you need both mount-once and mount-many capabilities, Ceph is your answer. Ceph also bundles in an S3-compatible object store. The down side of Ceph is that there are a lot of moving parts.

Please note that most people should never use mount-many semantics. NFS is pervasive because it is old and easy, not because it is a good idea. While it may seem like a convenience at first, there are all manner of locking, performance, change control, and reliability concerns inherent in any mount-many situation, so we strongly recommend you avoid this method.

If your storage needs are small enough to not need Ceph, use Mayastor.

Rook/Ceph

Ceph is the grandfather of open source storage clusters. It is big, has a lot of pieces, and will do just about anything. It scales better than almost any other system out there, open source or proprietary, being able to easily add and remove storage over time with no downtime, safely and easily. It comes bundled with RadosGW, an S3-compatible object store; CephFS, a NFS-like clustered filesystem; and RBD, a block storage system.

With the help of Rook, the vast majority of the complexity of Ceph is hidden away by a very robust operator, allowing you to control almost everything about your Ceph cluster from fairly simple Kubernetes CRDs.

So if Ceph is so great, why not use it for everything?

Ceph can be rather slow for small clusters. It relies heavily on CPUs and massive parallelisation to provide good cluster performance, so if you don’t have much of those dedicated to Ceph, it is not going to be well-optimised for you. Also, if your cluster is small, just running Ceph may eat up a significant amount of the resources you have available.

Troubleshooting Ceph can be difficult if you do not understand its architecture. There are lots of acronyms and the documentation assumes a fair level of knowledge. There are very good tools for inspection and debugging, but this is still frequently seen as a concern.

Mayastor

Mayastor is an OpenEBS project built in Rust utilising the modern NVMEoF system. (Despite the name, Mayastor does not require you to have NVME drives.) It is fast and lean but still cluster-oriented and cloud native. Unlike most of the other OpenEBS project, it is not built on the ancient iSCSI system.

Unlike Ceph, Mayastor is just a block store. It focuses on block storage and does it well. It is much less complicated to set up than Ceph, but you probably wouldn’t want to use it for more than a few dozen disks.

Mayastor is new, maybe too new. If you’re looking for something well-tested and battle-hardened, this is not it. However, if you’re looking for something lean, future-oriented, and simpler than Ceph, it might be a great choice.

Video Walkthrough

To see a live demo of this section, see the video below:

Prep Nodes

Either during initial cluster creation or on running worker nodes, several machine config values should be edited. (This information is gathered from the Mayastor documentation.) We need to set the vm.nr_hugepages sysctl and add openebs.io/engine=mayastor labels to the nodes which are meant to be storage nodes. This can be done with talosctl patch machineconfig or via config patches during talosctl gen config.

Some examples are shown below: modify as needed.

Using gen config

talosctl gen config my-cluster https://mycluster.local:6443 --config-patch '[{"op": "add", "path": "/machine/sysctls", "value": {"vm.nr_hugepages": "1024"}}, {"op": "add", "path": "/machine/kubelet/extraArgs", "value": {"node-labels": "openebs.io/engine=mayastor"}}]'

Patching an existing node

talosctl patch --mode=no-reboot machineconfig -n <node ip> --patch '[{"op": "add", "path": "/machine/sysctls", "value": {"vm.nr_hugepages": "1024"}}, {"op": "add", "path": "/machine/kubelet/extraArgs", "value": {"node-labels": "openebs.io/engine=mayastor"}}]'

Note: If you are adding/updating the vm.nr_hugepages on a node which already had the openebs.io/engine=mayastor label set, you’d need to restart kubelet so that it picks up the new value, by issuing the following command

talosctl -n <node ip> service kubelet restart

Deploy Mayastor

Continue setting up Mayastor using the official documentation.

NFS

NFS is an old pack animal long past its prime. NFS is slow, has all kinds of bottlenecks involving contention, distributed locking, single points of service, and more. However, it is supported by a wide variety of systems. You don’t want to use it unless you have to, but unfortunately, that “have to” is too frequent.

The NFS client is part of the kubelet image maintained by the Talos team. This means that the version installed in your running kubelet is the version of NFS supported by Talos. You can reduce some of the contention problems by parceling Persistent Volumes from separate underlying directories.

Object storage

Ceph comes with an S3-compatible object store, but there are other options, as well. These can often be built on top of other storage backends. For instance, you may have your block storage running with Mayastor but assign a Pod a large Persistent Volume to serve your object store.

One of the most popular open source add-on object stores is MinIO.

Others (iSCSI)

The most common remaining systems involve iSCSI in one form or another. These include the original OpenEBS, Rancher’s Longhorn, and many proprietary systems. iSCSI in Linux is facilitated by open-iscsi. This system was designed long before containers caught on, and it is not well suited to the task, especially when coupled with a read-only host operating system.

iSCSI support in Talos is now supported via the iscsi-tools system extension installed. The extension enables compatibility with OpenEBS Jiva - refer to the local storage installation guide for more information.

3.2 - Network

Managing the Kubernetes cluster networking

3.2.1 - Deploying Cilium CNI

In this guide you will learn how to set up Cilium CNI on Talos.

From v1.9 onwards Cilium does no longer provide a one-liner install manifest that can be used to install Cilium on a node via kubectl apply -f or passing it in as an extra url in the urls part in the Talos machine configuration.

Installing Cilium the new way via the cilium cli is broken, so we’ll be using helm to install Cilium. For more information: Install with CLI fails, works with Helm

Refer to Installing with Helm for more information.

First we’ll need to add the helm repo for Cilium.

helm repo add cilium https://helm.cilium.io/
helm repo update

This documentation will outline installing Cilium CNI v1.11.2 on Talos in four different ways. Adhering to Talos principles we’ll deploy Cilium with IPAM mode set to Kubernetes. Each method can either install Cilium using kube proxy (default) or without: Kubernetes Without kube-proxy

Machine config preparation

When generating the machine config for a node set the CNI to none. For example using a config patch:

talosctl gen config \
    my-cluster https://mycluster.local:6443 \
    --config-patch '[{"op":"add", "path": "/cluster/network/cni", "value": {"name": "none"}}]'

Or if you want to deploy Cilium in strict mode without kube-proxy, you also need to disable kube proxy:

talosctl gen config \
    my-cluster https://mycluster.local:6443 \
    --config-patch '[{"op": "add", "path": "/cluster/proxy", "value": {"disabled": true}}, {"op":"add", "path": "/cluster/network/cni", "value": {"name": "none"}}]'

Method 1: Helm install

After applying the machine config and bootstrapping Talos will appear to hang on phase 18/19 with the message: retrying error: node not ready. This happens because nodes in Kubernetes are only marked as ready once the CNI is up. As there is no CNI defined, the boot process is pending and will reboot the node to retry after 10 minutes, this is expected behavior.

During this window you can install Cilium manually by running the following:

helm install cilium cilium/cilium \
    --version 1.11.2 \
    --namespace kube-system \
    --set ipam.mode=kubernetes

Or if you want to deploy Cilium in strict mode without kube-proxy, also set some extra paramaters:

export KUBERNETES_API_SERVER_ADDRESS=<>
export KUBERNETES_API_SERVER_PORT=6443

helm install cilium cilium/cilium \
    --version 1.11.2 \
    --namespace kube-system \
    --set ipam.mode=kubernetes \
    --set kubeProxyReplacement=strict \
    --set k8sServiceHost="${KUBERNETES_API_SERVER_ADDRESS}" \
    --set k8sServicePort="${KUBERNETES_API_SERVER_PORT}"

After Cilium is installed the boot process should continue and complete successfully.

Method 2: Helm manifests install

Instead of directly installing Cilium you can instead first generate the manifest and then apply it:

helm template cilium cilium/cilium \
    --version 1.11.2 \
    --namespace kube-system \
    --set ipam.mode=kubernetes > cilium.yaml

kubectl apply -f cilium.yaml

Without kube-proxy:

export KUBERNETES_API_SERVER_ADDRESS=<>
export KUBERNETES_API_SERVER_PORT=6443

helm template cilium cilium/cilium \
    --version 1.11.2 \
    --namespace kube-system \
    --set ipam.mode=kubernetes \
    --set kubeProxyReplacement=strict \
    --set k8sServiceHost="${KUBERNETES_API_SERVER_ADDRESS}" \
    --set k8sServicePort="${KUBERNETES_API_SERVER_PORT}" > cilium.yaml

kubectl apply -f cilium.yaml

Method 3: Helm manifests hosted install

After generating cilium.yaml using helm template, instead of applying this manifest directly during the Talos boot window (before the reboot timeout). You can also host this file somewhere and patch the machine config to apply this manifest automatically during bootstrap. To do this patch your machine configuration to include this config instead of the above:

talosctl gen config \
    my-cluster https://mycluster.local:6443 \
    --config-patch '[{"op":"add", "path": "/cluster/network/cni", "value": {"name": "custom", "urls": ["https://server.yourdomain.tld/some/path/cilium.yaml"]}}]'

Resulting in a config that look like this:

name: custom # Name of CNI to use.
# URLs containing manifests to apply for the CNI.
urls:
    - https://server.yourdomain.tld/some/path/cilium.yaml

However, beware of the fact that the helm generated Cilium manifest contains sensitive key material. As such you should definitely not host this somewhere publicly accessible.

Method 4: Helm manifests inline install

A more secure option would be to include the helm template output manifest inside the machine configuration. The machine config should be generated with CNI set to none

talosctl gen config \
    my-cluster https://mycluster.local:6443 \
    --config-patch '[{"op":"add", "path": "/cluster/network/cni", "value": {"name": "none"}}]'

if deploying Cilium with kube-proxy disabled, you can also include the following:

talosctl gen config \
    my-cluster https://mycluster.local:6443 \
    --config-patch '[{"op": "add", "path": "/cluster/proxy", "value": {"disabled": true}}, {"op":"add", "path": "/cluster/network/cni", "value": {"name": "none"}}]'

To do so patch this into your machine configuration:

cluster:
  inlineManifests:
    - name: cilium
      contents: |
        --
        # Source: cilium/templates/cilium-agent/serviceaccount.yaml
        apiVersion: v1
        kind: ServiceAccount
        metadata:
          name: "cilium"
          namespace: kube-system
        ---
        # Source: cilium/templates/cilium-operator/serviceaccount.yaml
        apiVersion: v1
        kind: ServiceAccount
        -> Your cilium.yaml file will be pretty long....        

This will install the Cilium manifests at just the right time during bootstrap.

Beware though:

  • Changing the namespace when templating with Helm does not generate a manifest containing the yaml to create that namespace. As the inline manifest is processed from top to bottom make sure to manually put the namespace yaml at the start of the inline manifest.
  • Only add the Cilium inline manifest to the control plane nodes machine configuration.
  • Make sure all control plane nodes have an identical configuration.
  • If you delete any of the generated resources they will be restored whenever a control plane node reboots.
  • As a safety measure, Talos only creates missing resources from inline manifests, it never deletes or updates anything.
  • If you need to update a manifest make sure to first edit all control plane machine configurations and then run talosctl upgrade-k8s as it will take care of updating inline manifests.

Known issues

Other things to know

  • Talos has full kernel module support for eBPF, See:

  • Talos also includes the modules:

    • CONFIG_NETFILTER_XT_TARGET_TPROXY=m
    • CONFIG_NETFILTER_XT_TARGET_CT=m
    • CONFIG_NETFILTER_XT_MATCH_MARK=m
    • CONFIG_NETFILTER_XT_MATCH_SOCKET=m

    This allows you to set --set enableXTSocketFallback=false on the helm install/template command preventing Cilium from disabling the ip_early_demux kernel feature. This will win back some performance.

3.2.2 - KubeSpan

Learn to use KubeSpan to connect Talos Linux machines securely across networks.

KubeSpan is a feature of Talos that automates the setup and maintenance of a full mesh WireGuard network for your cluster, giving you the ability to operate hybrid Kubernetes clusters that can span the edge, datacenter, and cloud. Management of keys and discovery of peers can be completely automated for a zero-touch experience that makes it simple and easy to create hybrid clusters.

KubeSpan consists of client code in Talos Linux, as well as a discovery service that enables clients to securely find each other. Sidero Labs operates a free Discovery Service, but the discovery service may be operated by your organization and can be downloaded here.

Video Walkthrough

To learn more about KubeSpan, see the video below:

To see a live demo of KubeSpan, see one the videos below:

Enabling

Creating a New Cluster

To generate configuration files for a new cluster, we can use the --with-kubespan flag in talosctl gen config. This will enable peer discovery and KubeSpan.

...
    # Provides machine specific network configuration options.
    network:
        # Configures KubeSpan feature.
        kubespan:
            enabled: true # Enable the KubeSpan feature.
...
    # Configures cluster member discovery.
    discovery:
        enabled: true # Enable the cluster membership discovery feature.
        # Configure registries used for cluster member discovery.
        registries:
            # Kubernetes registry uses Kubernetes API server to discover cluster members and stores additional information
            kubernetes: {}
            # Service registry is using an external service to push and pull information about cluster members.
            service: {}
...
# Provides cluster specific configuration options.
cluster:
    id: yui150Ogam0pdQoNZS2lZR-ihi8EWxNM17bZPktJKKE= # Globally unique identifier for this cluster.
    secret: dAmFcyNmDXusqnTSkPJrsgLJ38W8oEEXGZKM0x6Orpc= # Shared secret of cluster.

The default discovery service is an external service hosted for free by Sidero Labs. The default value is https://discovery.talos.dev/. Contact Sidero Labs if you need to run this service privately.

Upgrading an Existing Cluster

In order to enable KubeSpan for an existing cluster, upgrade to the latest version of Talos (v1.2.8). Once your cluster is upgraded, the configuration of each node must contain the globally unique identifier, the shared secret for the cluster, and have KubeSpan and discovery enabled.

Note: Discovery can be used without KubeSpan, but KubeSpan requires at least one discovery registry.

Talos v0.11 or Less

If you are migrating from Talos v0.11 or less, we need to generate a cluster ID and secret.

To generate an id:

$ openssl rand -base64 32
EUsCYz+oHNuBppS51P9aKSIOyYvIPmbZK944PWgiyMQ=

To generate a secret:

$ openssl rand -base64 32
AbdsWjY9i797kGglghKvtGdxCsdllX9CemLq+WGVeaw=

Now, update the configuration of each node with the cluster with the generated id and secret. You should end up with the addition of something like this (your id and secret should be different):

cluster:
  id: EUsCYz+oHNuBppS51P9aKSIOyYvIPmbZK944PWgiyMQ=
  secret: AbdsWjY9i797kGglghKvtGdxCsdllX9CemLq+WGVeaw=

Note: This can be applied in immediate mode (no reboot required).

Talos v0.12 or More

Enable kubespan and discovery.

machine:
  network:
    kubespan:
      enabled: true
cluster:
  discovery:
    enabled: true

Resource Definitions

KubeSpanIdentities

A node’s WireGuard identities can be obtained with:

$ talosctl get kubespanidentities -o yaml
...
spec:
    address: fd83:b1f7:fcb5:2802:8c13:71ff:feaf:7c94/128
    subnet: fd83:b1f7:fcb5:2802::/64
    privateKey: gNoasoKOJzl+/B+uXhvsBVxv81OcVLrlcmQ5jQwZO08=
    publicKey: NzW8oeIH5rJyY5lefD9WRoHWWRr/Q6DwsDjMX+xKjT4=

Talos automatically configures unique IPv6 address for each node in the cluster-specific IPv6 ULA prefix.

Wireguard private key is generated for the node, private key never leaves the node while public key is published through the cluster discovery.

KubeSpanIdentity is persisted across reboots and upgrades in STATE partition in the file kubespan-identity.yaml.

KubeSpanPeerSpecs

A node’s WireGuard peers can be obtained with:

$ talosctl get kubespanpeerspecs
ID                                             VERSION   LABEL                          ENDPOINTS
06D9QQOydzKrOL7oeLiqHy9OWE8KtmJzZII2A5/FLFI=   2         talos-default-controlplane-2   ["172.20.0.3:51820"]
THtfKtfNnzJs1nMQKs5IXqK0DFXmM//0WMY+NnaZrhU=   2         talos-default-controlplane-3   ["172.20.0.4:51820"]
nVHu7l13uZyk0AaI1WuzL2/48iG8af4WRv+LWmAax1M=   2         talos-default-worker-2         ["172.20.0.6:51820"]
zXP0QeqRo+CBgDH1uOBiQ8tA+AKEQP9hWkqmkE/oDlc=   2         talos-default-worker-1         ["172.20.0.5:51820"]

The peer ID is the Wireguard public key. KubeSpanPeerSpecs are built from the cluster discovery data.

KubeSpanPeerStatuses

The status of a node’s WireGuard peers can be obtained with:

$ talosctl get kubespanpeerstatuses
ID                                             VERSION   LABEL                          ENDPOINT           STATE   RX         TX
06D9QQOydzKrOL7oeLiqHy9OWE8KtmJzZII2A5/FLFI=   63        talos-default-controlplane-2   172.20.0.3:51820   up      15043220   17869488
THtfKtfNnzJs1nMQKs5IXqK0DFXmM//0WMY+NnaZrhU=   62        talos-default-controlplane-3   172.20.0.4:51820   up      14573208   18157680
nVHu7l13uZyk0AaI1WuzL2/48iG8af4WRv+LWmAax1M=   60        talos-default-worker-2         172.20.0.6:51820   up      130072     46888
zXP0QeqRo+CBgDH1uOBiQ8tA+AKEQP9hWkqmkE/oDlc=   60        talos-default-worker-1         172.20.0.5:51820   up      130044     46556

KubeSpan peer status includes following information:

  • the actual endpoint used for peer communication
  • link state:
    • unknown: the endpoint was just changed, link state is not known yet
    • up: there is a recent handshake from the peer
    • down: there is no handshake from the peer
  • number of bytes sent/received over the Wireguard link with the peer

If the connection state goes down, Talos will be cycling through the available endpoints until it finds the one which works.

Peer status information is updated every 30 seconds.

KubeSpanEndpoints

A node’s WireGuard endpoints (peer addresses) can be obtained with:

$ talosctl get kubespanendpoints
ID                                             VERSION   ENDPOINT           AFFILIATE ID
06D9QQOydzKrOL7oeLiqHy9OWE8KtmJzZII2A5/FLFI=   1         172.20.0.3:51820   2VfX3nu67ZtZPl57IdJrU87BMjVWkSBJiL9ulP9TCnF
THtfKtfNnzJs1nMQKs5IXqK0DFXmM//0WMY+NnaZrhU=   1         172.20.0.4:51820   b3DebkPaCRLTLLWaeRF1ejGaR0lK3m79jRJcPn0mfA6C
nVHu7l13uZyk0AaI1WuzL2/48iG8af4WRv+LWmAax1M=   1         172.20.0.6:51820   NVtfu1bT1QjhNq5xJFUZl8f8I8LOCnnpGrZfPpdN9WlB
zXP0QeqRo+CBgDH1uOBiQ8tA+AKEQP9hWkqmkE/oDlc=   1         172.20.0.5:51820   6EVq8RHIne03LeZiJ60WsJcoQOtttw1ejvTS6SOBzhUA

The endpoint ID is the base64 encoded WireGuard public key.

The observed endpoints are submitted back to the discovery service (if enabled) so that other peers can try additional endpoints to establish the connection.

3.3 - Upgrading Kubernetes

Guide on how to upgrade the Kubernetes cluster from Talos Linux.

This guide covers upgrading Kubernetes on Talos Linux clusters. For upgrading the Talos Linux operating system, see Upgrading Talos

Video Walkthrough

To see a demo of this process, watch this video:

Automated Kubernetes Upgrade

The recommended method to upgrade Kubernetes is to use the talosctl upgrade-k8s command. This will automatically update the components needed to upgrade Kubernetes safely. Upgrading Kubernetes is non-disruptive to the cluster workloads.

To trigger a Kubernetes upgrade, issue a command specifiying the version of Kubernetes to ugprade to, such as:

talosctl --nodes <controlplane node> upgrade-k8s --to 1.25.5

Note that the --nodes parameter specifies the control plane node to send the API call to, but all members of the cluster will be upgraded.

To check what will be upgraded you can run talosctl upgrade-k8s with the --dry-run flag:

$ talosctl --nodes <controlplane node> upgrade-k8s --to 1.25.5 --dry-run
WARNING: found resources which are going to be deprecated/migrated in the version 1.25.5
RESOURCE                                                               COUNT
validatingwebhookconfigurations.v1beta1.admissionregistration.k8s.io   4
mutatingwebhookconfigurations.v1beta1.admissionregistration.k8s.io     3
customresourcedefinitions.v1beta1.apiextensions.k8s.io                 25
apiservices.v1beta1.apiregistration.k8s.io                             54
leases.v1beta1.coordination.k8s.io                                     4
automatically detected the lowest Kubernetes version 1.24.3
checking for resource APIs to be deprecated in version 1.25.5
discovered controlplane nodes ["172.20.0.2" "172.20.0.3" "172.20.0.4"]
discovered worker nodes ["172.20.0.5" "172.20.0.6"]
updating "kube-apiserver" to version "1.25.5"
 > "172.20.0.2": starting update
 > update kube-apiserver: v1.24.3 -> 1.25.5
 > skipped in dry-run
 > "172.20.0.3": starting update
 > update kube-apiserver: v1.24.3 -> 1.25.5
 > skipped in dry-run
 > "172.20.0.4": starting update
 > update kube-apiserver: v1.24.3 -> 1.25.5
 > skipped in dry-run
updating "kube-controller-manager" to version "1.25.5"
 > "172.20.0.2": starting update
 > update kube-controller-manager: v1.24.3 -> 1.25.5
 > skipped in dry-run
 > "172.20.0.3": starting update

<snip>

updating manifests
 > apply manifest Secret bootstrap-token-3lb63t
 > apply skipped in dry run
 > apply manifest ClusterRoleBinding system-bootstrap-approve-node-client-csr
 > apply skipped in dry run
<snip>

To upgrade Kubernetes from v1.24.3 to v1.25.5 run:

$ talosctl --nodes <controlplane node> upgrade-k8s --to 1.25.5
automatically detected the lowest Kubernetes version 1.24.3
checking for resource APIs to be deprecated in version 1.25.5
discovered controlplane nodes ["172.20.0.2" "172.20.0.3" "172.20.0.4"]
discovered worker nodes ["172.20.0.5" "172.20.0.6"]
updating "kube-apiserver" to version "1.25.5"
 > "172.20.0.2": starting update
 > update kube-apiserver: v1.24.3 -> 1.25.5
 > "172.20.0.2": machine configuration patched
 > "172.20.0.2": waiting for API server state pod update
 < "172.20.0.2": successfully updated
 > "172.20.0.3": starting update
 > update kube-apiserver: v1.24.3 -> 1.25.5
<snip>

This command runs in several phases:

  1. Every control plane node machine configuration is patched with the new image version for each control plane component. Talos renders new static pod definitions on the configuration update which is picked up by the kubelet. The command waits for the change to propagate to the API server state.
  2. The command updates the kube-proxy daemonset with the new image version.
  3. On every node in the cluster, the kubelet version is updated. The command then waits for the kubelet service to be restarted and become healthy. The update is verified by checking the Node resource state.
  4. Kubernetes bootstrap manifests are re-applied to the cluster. Updated bootstrap manifests might come with a new Talos version (e.g. CoreDNS version update), or might be the result of machine configuration change. Note: The upgrade-k8s command never deletes any resources from the cluster: they should be deleted manually.

If the command fails for any reason, it can be safely restarted to continue the upgrade process from the moment of the failure.

Manual Kubernetes Upgrade

Kubernetes can be upgraded manually by following the steps outlined below. They are equivalent to the steps performed by the talosctl upgrade-k8s command.

Kubeconfig

In order to edit the control plane, you need a working kubectl config. If you don’t already have one, you can get one by running:

talosctl --nodes <controlplane node> kubeconfig

API Server

Patch machine configuration using talosctl patch command:

$ talosctl -n <CONTROL_PLANE_IP_1> patch mc --mode=no-reboot -p '[{"op": "replace", "path": "/cluster/apiServer/image", "value": "k8s.gcr.io/kube-apiserver:v1.25.5"}]'
patched mc at the node 172.20.0.2

The JSON patch might need to be adjusted if current machine configuration is missing .cluster.apiServer.image key.

Also the machine configuration can be edited manually with talosctl -n <IP> edit mc --mode=no-reboot.

Capture the new version of kube-apiserver config with:

$ talosctl -n <CONTROL_PLANE_IP_1> get kcpc kube-apiserver -o yaml
node: 172.20.0.2
metadata:
    namespace: config
    type: KubernetesControlPlaneConfigs.config.talos.dev
    id: kube-apiserver
    version: 5
    phase: running
spec:
    image: k8s.gcr.io/kube-apiserver:v1.25.5
    cloudProvider: ""
    controlPlaneEndpoint: https://172.20.0.1:6443
    etcdServers:
        - https://127.0.0.1:2379
    localPort: 6443
    serviceCIDR: 10.96.0.0/12
    extraArgs: {}
    extraVolumes: []

In this example, the new version is 5. Wait for the new pod definition to propagate to the API server state (replace talos-default-controlplane-1 with the node name):

$ kubectl get pod -n kube-system -l k8s-app=kube-apiserver --field-selector spec.nodeName=talos-default-controlplane-1 -o jsonpath='{.items[0].metadata.annotations.talos\.dev/config\-version}'
5

Check that the pod is running:

$ kubectl get pod -n kube-system -l k8s-app=kube-apiserver --field-selector spec.nodeName=talos-default-controlplane-1
NAME                                    READY   STATUS    RESTARTS   AGE
kube-apiserver-talos-default-controlplane-1   1/1     Running   0          16m

Repeat this process for every control plane node, verifying that state got propagated successfully between each node update.

Controller Manager

Patch machine configuration using talosctl patch command:

$ talosctl -n <CONTROL_PLANE_IP_1> patch mc --mode=no-reboot -p '[{"op": "replace", "path": "/cluster/controllerManager/image", "value": "k8s.gcr.io/kube-controller-manager:v1.25.5"}]'
patched mc at the node 172.20.0.2

The JSON patch might need be adjusted if current machine configuration is missing .cluster.controllerManager.image key.

Capture new version of kube-controller-manager config with:

$ talosctl -n <CONTROL_PLANE_IP_1> get kcpc kube-controller-manager -o yaml
node: 172.20.0.2
metadata:
    namespace: config
    type: KubernetesControlPlaneConfigs.config.talos.dev
    id: kube-controller-manager
    version: 3
    phase: running
spec:
    image: k8s.gcr.io/kube-controller-manager:v1.25.5
    cloudProvider: ""
    podCIDR: 10.244.0.0/16
    serviceCIDR: 10.96.0.0/12
    extraArgs: {}
    extraVolumes: []

In this example, new version is 3. Wait for the new pod definition to propagate to the API server state (replace talos-default-controlplane-1 with the node name):

$ kubectl get pod -n kube-system -l k8s-app=kube-controller-manager --field-selector spec.nodeName=talos-default-controlplane-1 -o jsonpath='{.items[0].metadata.annotations.talos\.dev/config\-version}'
3

Check that the pod is running:

$ kubectl get pod -n kube-system -l k8s-app=kube-controller-manager --field-selector spec.nodeName=talos-default-controlplane-1
NAME                                             READY   STATUS    RESTARTS   AGE
kube-controller-manager-talos-default-controlplane-1   1/1     Running   0          35m

Repeat this process for every control plane node, verifying that state propagated successfully between each node update.

Scheduler

Patch machine configuration using talosctl patch command:

$ talosctl -n <CONTROL_PLANE_IP_1> patch mc --mode=no-reboot -p '[{"op": "replace", "path": "/cluster/scheduler/image", "value": "k8s.gcr.io/kube-scheduler:v1.25.5"}]'
patched mc at the node 172.20.0.2

JSON patch might need be adjusted if current machine configuration is missing .cluster.scheduler.image key.

Capture new version of kube-scheduler config with:

$ talosctl -n <CONTROL_PLANE_IP_1> get kcpc kube-scheduler -o yaml
node: 172.20.0.2
metadata:
    namespace: config
    type: KubernetesControlPlaneConfigs.config.talos.dev
    id: kube-scheduler
    version: 3
    phase: running
spec:
    image: k8s.gcr.io/kube-scheduler:v1.25.5
    extraArgs: {}
    extraVolumes: []

In this example, new version is 3. Wait for the new pod definition to propagate to the API server state (replace talos-default-controlplane-1 with the node name):

$ kubectl get pod -n kube-system -l k8s-app=kube-scheduler --field-selector spec.nodeName=talos-default-controlplane-1 -o jsonpath='{.items[0].metadata.annotations.talos\.dev/config\-version}'
3

Check that the pod is running:

$ kubectl get pod -n kube-system -l k8s-app=kube-scheduler --field-selector spec.nodeName=talos-default-controlplane-1
NAME                                    READY   STATUS    RESTARTS   AGE
kube-scheduler-talos-default-controlplane-1   1/1     Running   0          39m

Repeat this process for every control plane node, verifying that state got propagated successfully between each node update.

Proxy

In the proxy’s DaemonSet, change:

kind: DaemonSet
...
spec:
  ...
  template:
    ...
    spec:
      containers:
        - name: kube-proxy
          image: k8s.gcr.io/kube-proxy:v1.25.5
      tolerations:
        - ...

to:

kind: DaemonSet
...
spec:
  ...
  template:
    ...
    spec:
      containers:
        - name: kube-proxy
          image: k8s.gcr.io/kube-proxy:v1.25.5
      tolerations:
        - ...
        - key: node-role.kubernetes.io/control-plane
          operator: Exists
          effect: NoSchedule

To edit the DaemonSet, run:

kubectl edit daemonsets -n kube-system kube-proxy

Bootstrap Manifests

Bootstrap manifests can be retrieved in a format which works for kubectl with the following command:

talosctl -n <controlplane IP> get manifests -o yaml | yq eval-all '.spec | .[] | splitDoc' - > manifests.yaml

Diff the manifests with the cluster:

kubectl diff -f manifests.yaml

Apply the manifests:

kubectl apply -f manifests.yaml

Note: if some bootstrap resources were removed, they have to be removed from the cluster manually.

kubelet

For every node, patch machine configuration with new kubelet version, wait for the kubelet to restart with new version:

$ talosctl -n <IP> patch mc --mode=no-reboot -p '[{"op": "replace", "path": "/machine/kubelet/image", "value": "ghcr.io/siderolabs/kubelet:v1.25.5"}]'
patched mc at the node 172.20.0.2

Once kubelet restarts with the new configuration, confirm upgrade with kubectl get nodes <name>:

$ kubectl get nodes talos-default-controlplane-1
NAME                           STATUS   ROLES                  AGE    VERSION
talos-default-controlplane-1   Ready    control-plane          123m   v1.25.5

4 - Advanced Guides

4.1 - Advanced Networking

How to configure advanced networking options on Talos Linux.

Static Addressing

Static addressing is comprised of specifying addresses, routes ( remember to add your default gateway ), and interface. Most likely you’ll also want to define the nameservers so you have properly functioning DNS.

machine:
  network:
    hostname: talos
    nameservers:
      - 10.0.0.1
    interfaces:
      - interface: eth0
        addresses:
          - 10.0.0.201/8
        mtu: 8765
        routes:
          - network: 0.0.0.0/0
            gateway: 10.0.0.1
      - interface: eth1
        ignore: true
  time:
    servers:
      - time.cloudflare.com

Additional Addresses for an Interface

In some environments you may need to set additional addresses on an interface. In the following example, we set two additional addresses on the loopback interface.

machine:
  network:
    interfaces:
      - interface: lo
        addresses:
          - 192.168.0.21/24
          - 10.2.2.2/24

Bonding

The following example shows how to create a bonded interface.

machine:
  network:
    interfaces:
      - interface: bond0
        dhcp: true
        bond:
          mode: 802.3ad
          lacpRate: fast
          xmitHashPolicy: layer3+4
          miimon: 100
          updelay: 200
          downdelay: 200
          interfaces:
            - eth0
            - eth1

Setting Up a Bridge

The following example shows how to set up a bridge between two interfaces with an assigned static address.

machine:
  network:
    interfaces:
      - interface: br0
        addresses:
          - 192.168.0.42/24
        bridge:
          stp:
            enabled: true
          interfaces:
              - eth0
              - eth1

VLANs

To setup vlans on a specific device use an array of VLANs to add. The master device may be configured without addressing by setting dhcp to false.

machine:
  network:
    interfaces:
      - interface: eth0
        dhcp: false
        vlans:
          - vlanId: 100
            addresses:
              - "192.168.2.10/28"
            routes:
              - network: 0.0.0.0/0
                gateway: 192.168.2.1

4.2 - Air-gapped Environments

Setting up Talos Linux to work in environments with no internet access.

In this guide we will create a Talos cluster running in an air-gapped environment with all the required images being pulled from an internal registry. We will use the QEMU provisioner available in talosctl to create a local cluster, but the same approach could be used to deploy Talos in bigger air-gapped networks.

Requirements

The follow are requirements for this guide:

  • Docker 18.03 or greater
  • Requirements for the Talos QEMU cluster

Identifying Images

In air-gapped environments, access to the public Internet is restricted, so Talos can’t pull images from public Docker registries (docker.io, ghcr.io, etc.) We need to identify the images required to install and run Talos. The same strategy can be used for images required by custom workloads running on the cluster.

The talosctl images command provides a list of default images used by the Talos cluster (with default configuration settings). To print the list of images, run:

talosctl images

This list contains images required by a default deployment of Talos. There might be additional images required for the workloads running on this cluster, and those should be added to this list.

Preparing the Internal Registry

As access to the public registries is restricted, we have to run an internal Docker registry. In this guide, we will launch the registry on the same machine using Docker:

$ docker run -d -p 6000:5000 --restart always --name registry-airgapped registry:2
1bf09802bee1476bc463d972c686f90a64640d87dacce1ac8485585de69c91a5

This registry will be accepting connections on port 6000 on the host IPs. The registry is empty by default, so we have fill it with the images required by Talos.

First, we pull all the images to our local Docker daemon:

$ for image in `talosctl images`; do docker pull $image; done
v0.15.1: Pulling from coreos/flannel
Digest: sha256:9a296fbb67790659adc3701e287adde3c59803b7fcefe354f1fc482840cdb3d9
...

All images are now stored in the Docker daemon store:

$ docker images
REPOSITORY                               TAG                                        IMAGE ID       CREATED         SIZE
gcr.io/etcd-development/etcd             v3.5.3                                     604d4f022632   6 days ago      181MB
ghcr.io/siderolabs/install-cni           v1.0.0-2-gc5d3ab0                          4729e54f794d   6 days ago      76MB
...

Now we need to re-tag them so that we can push them to our local registry. We are going to replace the first component of the image name (before the first slash) with our registry endpoint 127.0.0.1:6000:

$ for image in `talosctl images`; do \
    docker tag $image `echo $image | sed -E 's#^[^/]+/#127.0.0.1:6000/#'`; \
  done

As the next step, we push images to the internal registry:

$ for image in `talosctl images`; do \
    docker push `echo $image | sed -E 's#^[^/]+/#127.0.0.1:6000/#'`; \
  done

We can now verify that the images are pushed to the registry:

$ curl http://127.0.0.1:6000/v2/_catalog
{"repositories":["coredns/coredns","coreos/flannel","etcd-development/etcd","kube-apiserver","kube-controller-manager","kube-proxy","kube-scheduler","pause","siderolabs/install-cni","siderolabs/installer","siderolabs/kubelet"]}

Note: images in the registry don’t have the registry endpoint prefix anymore.

Launching Talos in an Air-gapped Environment

For Talos to use the internal registry, we use the registry mirror feature to redirect all image pull requests to the internal registry. This means that the registry endpoint (as the first component of the image reference) gets ignored, and all pull requests are sent directly to the specified endpoint.

We are going to use a QEMU-based Talos cluster for this guide, but the same approach works with Docker-based clusters as well. As QEMU-based clusters go through the Talos install process, they can be used better to model a real air-gapped environment.

Identify all registry prefixes from talosctl images, for example:

  • docker.io
  • gcr.io
  • ghcr.io
  • k8s.gcr.io
  • quay.io

The talosctl cluster create command provides conveniences for common configuration options. The only required flag for this guide is --registry-mirror <endpoint>=http://10.5.0.1:6000 which redirects every pull request to the internal registry, this flag needs to be repeated for each of the identified registry prefixes above. The endpoint being used is 10.5.0.1, as this is the default bridge interface address which will be routable from the QEMU VMs (127.0.0.1 IP will be pointing to the VM itself).

$ sudo --preserve-env=HOME talosctl cluster create --provisioner=qemu --install-image=ghcr.io/siderolabs/installer:v1.2.8 \
  --registry-mirror docker.io=http://10.5.0.1:6000 \
  --registry-mirror gcr.io=http://10.5.0.1:6000 \
  --registry-mirror ghcr.io=http://10.5.0.1:6000 \
  --registry-mirror k8s.gcr.io=http://10.5.0.1:6000 \
  --registry-mirror quay.io=http://10.5.0.1:6000
validating CIDR and reserving IPs
generating PKI and tokens
creating state directory in "/home/user/.talos/clusters/talos-default"
creating network talos-default
creating load balancer
creating dhcpd
creating master nodes
creating worker nodes
waiting for API
...

Note: --install-image should match the image which was copied into the internal registry in the previous step.

You can be verify that the cluster is air-gapped by inspecting the registry logs: docker logs -f registry-airgapped.

Closing Notes

Running in an air-gapped environment might require additional configuration changes, for example using custom settings for DNS and NTP servers.

When scaling this guide to the bare-metal environment, following Talos config snippet could be used as an equivalent of the --registry-mirror flag above:

machine:
  ...
  registries:
      mirrors:
        docker.io:
          endpoints:
          - http://10.5.0.1:6000/
        gcr.io:
          endpoints:
          - http://10.5.0.1:6000/
        ghcr.io:
          endpoints:
          - http://10.5.0.1:6000/
        k8s.gcr.io:
          endpoints:
          - http://10.5.0.1:6000/
        quay.io:
          endpoints:
          - http://10.5.0.1:6000/
...

Other implementations of Docker registry can be used in place of the Docker registry image used above to run the registry. If required, auth can be configured for the internal registry (and custom TLS certificates if needed).

4.3 - Customizing the Kernel

Guide on how to customize the kernel used by Talos Linux.

The installer image contains ONBUILD instructions that handle the following:

  • the decompression, and unpacking of the initramfs.xz
  • the unsquashing of the rootfs
  • the copying of new rootfs files
  • the squashing of the new rootfs
  • and the packing, and compression of the new initramfs.xz

When used as a base image, the installer will perform the above steps automatically with the requirement that a customization stage be defined in the Dockerfile.

Build and push your own kernel:

git clone https://github.com/talos-systems/pkgs.git
cd pkgs
make kernel-menuconfig USERNAME=_your_github_user_name_

docker login ghcr.io --username _your_github_user_name_
make kernel USERNAME=_your_github_user_name_ PUSH=true

Using a multi-stage Dockerfile we can define the customization stage and build FROM the installer image:

FROM scratch AS customization
COPY --from=<custom kernel image> /lib/modules /lib/modules

FROM ghcr.io/siderolabs/installer:latest
COPY --from=<custom kernel image> /boot/vmlinuz /usr/install/${TARGETARCH}/vmlinuz

When building the image, the customization stage will automatically be copied into the rootfs. The customization stage is not limited to a single COPY instruction. In fact, you can do whatever you would like in this stage, but keep in mind that everything in / will be copied into the rootfs.

To build the image, run:

DOCKER_BUILDKIT=0 docker build --build-arg RM="/lib/modules" -t installer:kernel .

Note: buildkit has a bug #816, to disable it use DOCKER_BUILDKIT=0

Now that we have a custom installer we can build Talos for the specific platform we wish to deploy to.

4.4 - Customizing the Root Filesystem

How to add your own content to the immutable root file system of Talos Linux.

The installer image contains ONBUILD instructions that handle the following:

  • the decompression, and unpacking of the initramfs.xz
  • the unsquashing of the rootfs
  • the copying of new rootfs files
  • the squashing of the new rootfs
  • and the packing, and compression of the new initramfs.xz

When used as a base image, the installer will perform the above steps automatically with the requirement that a customization stage be defined in the Dockerfile.

For example, say we have an image that contains the contents of a library we wish to add to the Talos rootfs. We need to define a stage with the name customization:

FROM scratch AS customization
COPY --from=<name|index> <src> <dest>

Using a multi-stage Dockerfile we can define the customization stage and build FROM the installer image:

FROM scratch AS customization
COPY --from=<name|index> <src> <dest>

FROM ghcr.io/siderolabs/installer:latest

When building the image, the customization stage will automatically be copied into the rootfs. The customization stage is not limited to a single COPY instruction. In fact, you can do whatever you would like in this stage, but keep in mind that everything in / will be copied into the rootfs.

Note: <dest> is the path relative to the rootfs that you wish to place the contents of <src>.

To build the image, run:

docker build --squash -t <organization>/installer:latest .

In the case that you need to perform some cleanup before adding additional files to the rootfs, you can specify the RM build-time variable:

docker build --squash --build-arg RM="[<path> ...]" -t <organization>/installer:latest .

This will perform a rm -rf on the specified paths relative to the rootfs.

Note: RM must be a whitespace delimited list.

The resulting image can be used to:

  • generate an image for any of the supported providers
  • perform bare-metall installs
  • perform upgrades

We will step through common customizations in the remainder of this section.

4.5 - Developing Talos

Learn how to set up a development environment for local testing and hacking on Talos itself!

This guide outlines steps and tricks to develop Talos operating systems and related components. The guide assumes Linux operating system on the development host. Some steps might work under Mac OS X, but using Linux is highly advised.

Prepare

Check out the Talos repository.

Try running make help to see available make commands. You would need Docker and buildx installed on the host.

Note: Usually it is better to install up to date Docker from Docker apt repositories, e.g. Ubuntu instructions.

If buildx plugin is not available with OS docker packages, it can be installed as a plugin from GitHub releases.

Set up a builder with access to the host network:

 docker buildx create --driver docker-container  --driver-opt network=host --name local1 --buildkitd-flags '--allow-insecure-entitlement security.insecure' --use

Note: network=host allows buildx builder to access host network, so that it can push to a local container registry (see below).

Make sure the following steps work:

  • make talosctl
  • make initramfs kernel

Set up a local docker registry:

docker run -d -p 5005:5000 \
    --restart always \
    --name local registry:2

Try to build and push to local registry an installer image:

make installer IMAGE_REGISTRY=127.0.0.1:5005 PUSH=true

Record the image name output in the step above.

Note: it is also possible to force a stable image tag by using TAG variable: make installer IMAGE_REGISTRY=127.0.0.1:5005 TAG=v1.0.0-alpha.1 PUSH=true.

Running Talos cluster

Set up local caching docker registries (this speeds up Talos cluster boot a lot), script is in the Talos repo:

bash hack/start-registry-proxies.sh

Start your local cluster with:

sudo --preserve-env=HOME _out/talosctl-linux-amd64 cluster create \
    --provisioner=qemu \
    --cidr=172.20.0.0/24 \
    --registry-mirror docker.io=http://172.20.0.1:5000 \
    --registry-mirror k8s.gcr.io=http://172.20.0.1:5001  \
    --registry-mirror quay.io=http://172.20.0.1:5002 \
    --registry-mirror gcr.io=http://172.20.0.1:5003 \
    --registry-mirror ghcr.io=http://172.20.0.1:5004 \
    --registry-mirror 127.0.0.1:5005=http://172.20.0.1:5005 \
    --install-image=127.0.0.1:5005/siderolabs/installer:<RECORDED HASH from the build step> \
    --controlplanes 3 \
    --workers 2 \
    --with-bootloader=false
  • --provisioner selects QEMU vs. default Docker
  • custom --cidr to make QEMU cluster use different network than default Docker setup (optional)
  • --registry-mirror uses the caching proxies set up above to speed up boot time a lot, last one adds your local registry (installer image was pushed to it)
  • --install-image is the image you built with make installer above
  • --controlplanes & --workers configure cluster size, choose to match your resources; 3 controlplanes give you HA control plane; 1 controlplane is enough, never do 2 controlplanes
  • --with-bootloader=false disables boot from disk (Talos will always boot from _out/vmlinuz-amd64 and _out/initramfs-amd64.xz). This speeds up development cycle a lot - no need to rebuild installer and perform install, rebooting is enough to get new code.

Note: as boot loader is not used, it’s not necessary to rebuild installer each time (old image is fine), but sometimes it’s needed (when configuration changes are done and old installer doesn’t validate the config).

talosctl cluster create derives Talos machine configuration version from the install image tag, so sometimes early in the development cycle (when new minor tag is not released yet), machine config version can be overridden with --talos-version=v1.2.

If the --with-bootloader=false flag is not enabled, for Talos cluster to pick up new changes to the code (in initramfs), it will require a Talos upgrade (so new installer should be built). With --with-bootloader=false flag, Talos always boots from initramfs in _out/ directory, so simple reboot is enough to pick up new code changes.

If the installation flow needs to be tested, --with-bootloader=false shouldn’t be used.

Console Logs

Watching console logs is easy with tail:

tail -F ~/.talos/clusters/talos-default/talos-default-*.log

Interacting with Talos

Once talosctl cluster create finishes successfully, talosconfig and kubeconfig will be set up automatically to point to your cluster.

Start playing with talosctl:

talosctl -n 172.20.0.2 version
talosctl -n 172.20.0.3,172.20.0.4 dashboard
talosctl -n 172.20.0.4 get members

Same with kubectl:

kubectl get nodes -o wide

You can deploy some Kubernetes workloads to the cluster.

You can edit machine config on the fly with talosctl edit mc --immediate, config patches can be applied via --config-patch flags, also many features have specific flags in talosctl cluster create.

Quick Reboot

To reboot whole cluster quickly (e.g. to pick up a change made in the code):

for socket in ~/.talos/clusters/talos-default/talos-default-*.monitor; do echo "q" | sudo socat - unix-connect:$socket; done

Sending q to a single socket allows to reboot a single node.

Note: This command performs immediate reboot (as if the machine was powered down and immediately powered back up), for normal Talos reboot use talosctl reboot.

Development Cycle

Fast development cycle:

  • bring up a cluster
  • make code changes
  • rebuild initramfs with make initramfs
  • reboot a node to pick new initramfs
  • verify code changes
  • more code changes…

Some aspects of Talos development require to enable bootloader (when working on installer itself), in that case quick development cycle is no longer possible, and cluster should be destroyed and recreated each time.

Running Integration Tests

If integration tests were changed (or when running them for the first time), first rebuild the integration test binary:

rm -f  _out/integration-test-linux-amd64; make _out/integration-test-linux-amd64

Running short tests against QEMU provisioned cluster:

_out/integration-test-linux-amd64 \
    -talos.provisioner=qemu \
    -test.v \
    -talos.crashdump=false \
    -test.short \
    -talos.talosctlpath=$PWD/_out/talosctl-linux-amd64

Whole test suite can be run removing -test.short flag.

Specfic tests can be run with -test.run=TestIntegration/api.ResetSuite.

Build Flavors

make <something> WITH_RACE=1 enables Go race detector, Talos runs slower and uses more memory, but memory races are detected.

make <something> WITH_DEBUG=1 enables Go profiling and other debug features, useful for local development.

Destroying Cluster

sudo --preserve-env=HOME ../talos/_out/talosctl-linux-amd64 cluster destroy --provisioner=qemu

This command stops QEMU and helper processes, tears down bridged network on the host, and cleans up cluster state in ~/.talos/clusters.

Note: if the host machine is rebooted, QEMU instances and helpers processes won’t be started back. In that case it’s required to clean up files in ~/.talos/clusters/<cluster-name> directory manually.

Optional

Set up cross-build environment with:

docker run --rm --privileged multiarch/qemu-user-static --reset -p yes

Note: the static qemu binaries which come with Ubuntu 21.10 seem to be broken.

Unit tests

Unit tests can be run in buildx with make unit-tests, on Ubuntu systems some tests using loop devices will fail because Ubuntu uses low-index loop devices for snaps.

Most of the unit-tests can be run standalone as well, with regular go test, or using IDE integration:

go test -v ./internal/pkg/circular/

This provides much faster feedback loop, but some tests require either elevated privileges (running as root) or additional binaries available only in Talos rootfs (containerd tests).

Running tests as root can be done with -exec flag to go test, but this is risky, as test code has root access and can potentially make undesired changes:

go test -exec sudo  -v ./internal/app/machined/pkg/controllers/network/...

Go Profiling

Build initramfs with debug enabled: make initramfs WITH_DEBUG=1.

Launch Talos cluster with bootloader disabled, and use go tool pprof to capture the profile and show the output in your browser:

go tool pprof http://172.20.0.2:9982/debug/pprof/heap

The IP address 172.20.0.2 is the address of the Talos node, and port :9982 depends on the Go application to profile:

  • 9981: apid
  • 9982: machined
  • 9983: trustd

Testing Air-gapped Environments

There is a hidden talosctl debug air-gapped command which launches two components:

  • HTTP proxy capable of proxying HTTP and HTTPS requests
  • HTTPS server with a self-signed certificate

The command also writes down Talos machine configuration patch to enable the HTTP proxy and add a self-signed certificate to the list of trusted certificates:

$ talosctl debug air-gapped --advertised-address 172.20.0.1
2022/08/04 16:43:14 writing config patch to air-gapped-patch.yaml
2022/08/04 16:43:14 starting HTTP proxy on :8002
2022/08/04 16:43:14 starting HTTPS server with self-signed cert on :8001

The --advertised-address should match the bridge IP of the Talos node.

Generated machine configuration patch looks like:

machine:
    files:
        - content: |
            -----BEGIN CERTIFICATE-----
            MIIBijCCAS+gAwIBAgIBATAKBggqhkjOPQQDAjAUMRIwEAYDVQQKEwlUZXN0IE9u
            bHkwHhcNMjIwODA0MTI0MzE0WhcNMjIwODA1MTI0MzE0WjAUMRIwEAYDVQQKEwlU
            ZXN0IE9ubHkwWTATBgcqhkjOPQIBBggqhkjOPQMBBwNCAAQfOJdaOFSOI1I+EeP1
            RlMpsDZJaXjFdoo5zYM5VYs3UkLyTAXAmdTi7JodydgLhty0pwLEWG4NUQAEvip6
            EmzTo3IwcDAOBgNVHQ8BAf8EBAMCBaAwHQYDVR0lBBYwFAYIKwYBBQUHAwEGCCsG
            AQUFBwMCMA8GA1UdEwEB/wQFMAMBAf8wHQYDVR0OBBYEFCwxL+BjG0pDwaH8QgKW
            Ex0J2mVXMA8GA1UdEQQIMAaHBKwUAAEwCgYIKoZIzj0EAwIDSQAwRgIhAJoW0z0D
            JwpjFcgCmj4zT1SbBFhRBUX64PHJpAE8J+LgAiEAvfozZG8Or6hL21+Xuf1x9oh4
            /4Hx3jozbSjgDyHOLk4=
            -----END CERTIFICATE-----            
          permissions: 0o644
          path: /etc/ssl/certs/ca-certificates
          op: append
    env:
        http_proxy: http://172.20.0.1:8002
        https_proxy: http://172.20.0.1:8002
        no_proxy: 172.20.0.1/24
cluster:
    extraManifests:
        - https://172.20.0.1:8001/debug.yaml

The first section appends a self-signed certificate of the HTTPS server to the list of trusted certificates, followed by the HTTP proxy setup (in-cluster traffic is excluded from the proxy). The last section adds an extra Kubernetes manifest hosted on the HTTPS server.

The machine configuration patch can now be used to launch a test Talos cluster:

talosctl cluster create ... --config-patch @air-gapped-patch.yaml

The following lines should appear in the output of the talosctl debug air-gapped command:

  • CONNECT discovery.talos.dev:443: the HTTP proxy is used to talk to the discovery service
  • http: TLS handshake error from 172.20.0.2:53512: remote error: tls: bad certificate: an expected error on Talos side, as self-signed cert is not written yet to the file
  • GET /debug.yaml: Talos successfully fetches the extra manifest successfully

There might be more output depending on the registry caches being used or not.

4.6 - Disaster Recovery

Procedure for snapshotting etcd database and recovering from catastrophic control plane failure.

etcd database backs Kubernetes control plane state, so if the etcd service is unavailable, the Kubernetes control plane goes down, and the cluster is not recoverable until etcd is recovered. etcd builds around the consensus protocol Raft, so highly-available control plane clusters can tolerate the loss of nodes so long as more than half of the members are running and reachable. For a three control plane node Talos cluster, this means that the cluster tolerates a failure of any single node, but losing more than one node at the same time leads to complete loss of service. Because of that, it is important to take routine backups of etcd state to have a snapshot to recover the cluster from in case of catastrophic failure.

Backup

Snapshotting etcd Database

Create a consistent snapshot of etcd database with talosctl etcd snapshot command:

$ talosctl -n <IP> etcd snapshot db.snapshot
etcd snapshot saved to "db.snapshot" (2015264 bytes)
snapshot info: hash c25fd181, revision 4193, total keys 1287, total size 3035136

Note: filename db.snapshot is arbitrary.

This database snapshot can be taken on any healthy control plane node (with IP address <IP> in the example above), as all etcd instances contain exactly same data. It is recommended to configure etcd snapshots to be created on some schedule to allow point-in-time recovery using the latest snapshot.

Disaster Database Snapshot

If the etcd cluster is not healthy (for example, if quorum has already been lost), the talosctl etcd snapshot command might fail. In that case, copy the database snapshot directly from the control plane node:

talosctl -n <IP> cp /var/lib/etcd/member/snap/db .

This snapshot might not be fully consistent (if the etcd process is running), but it allows for disaster recovery when latest regular snapshot is not available.

Machine Configuration

Machine configuration might be required to recover the node after hardware failure. Backup Talos node machine configuration with the command:

talosctl -n IP get mc v1alpha1 -o yaml | yq eval '.spec' -

Recovery

Before starting a disaster recovery procedure, make sure that etcd cluster can’t be recovered:

  • get etcd cluster member list on all healthy control plane nodes with talosctl -n IP etcd members command and compare across all members.
  • query etcd health across control plane nodes with talosctl -n IP service etcd.

If the quorum can be restored, restoring quorum might be a better strategy than performing full disaster recovery procedure.

Latest Etcd Snapshot

Get hold of the latest etcd database snapshot. If a snapshot is not fresh enough, create a database snapshot (see above), even if the etcd cluster is unhealthy.

Init Node

Make sure that there are no control plane nodes with machine type init:

$ talosctl -n <IP1>,<IP2>,... get machinetype
NODE         NAMESPACE   TYPE          ID             VERSION   TYPE
172.20.0.2   config      MachineType   machine-type   2         controlplane
172.20.0.4   config      MachineType   machine-type   2         controlplane
172.20.0.3   config      MachineType   machine-type   2         controlplane

Init node type is deprecated, and are incompatible with etcd recovery procedure. init node can be converted to controlplane type with talosctl edit mc --mode=staged command followed by node reboot with talosctl reboot command.

Preparing Control Plane Nodes

If some control plane nodes experienced hardware failure, replace them with new nodes.

Use machine configuration backup to re-create the nodes with the same secret material and control plane settings to allow workers to join the recovered control plane.

If a control plane node is up but etcd isn’t, wipe the node’s EPHEMERAL partition to remove the etcd data directory (make sure a database snapshot is taken before doing this):

talosctl -n <IP> reset --graceful=false --reboot --system-labels-to-wipe=EPHEMERAL

At this point, all control plane nodes should boot up, and etcd service should be in the Preparing state.

The Kubernetes control plane endpoint should be pointed to the new control plane nodes if there were changes to the node addresses.

Recovering from the Backup

Make sure all etcd service instances are in Preparing state:

$ talosctl -n <IP> service etcd
NODE     172.20.0.2
ID       etcd
STATE    Preparing
HEALTH   ?
EVENTS   [Preparing]: Running pre state (17s ago)
         [Waiting]: Waiting for service "cri" to be "up", time sync (18s ago)
         [Waiting]: Waiting for service "cri" to be "up", service "networkd" to be "up", time sync (20s ago)

Execute the bootstrap command against any control plane node passing the path to the etcd database snapshot:

$ talosctl -n <IP> bootstrap --recover-from=./db.snapshot
recovering from snapshot "./db.snapshot": hash c25fd181, revision 4193, total keys 1287, total size 3035136

Note: if database snapshot was copied out directly from the etcd data directory using talosctl cp, add flag --recover-skip-hash-check to skip integrity check on restore.

Talos node should print matching information in the kernel log:

recovering etcd from snapshot: hash c25fd181, revision 4193, total keys 1287, total size 3035136
{"level":"info","msg":"restoring snapshot","path":"/var/lib/etcd.snapshot","wal-dir":"/var/lib/etcd/member/wal","data-dir":"/var/lib/etcd","snap-dir":"/var/li}
{"level":"info","msg":"restored last compact revision","meta-bucket-name":"meta","meta-bucket-name-key":"finishedCompactRev","restored-compact-revision":3360}
{"level":"info","msg":"added member","cluster-id":"a3390e43eb5274e2","local-member-id":"0","added-peer-id":"eb4f6f534361855e","added-peer-peer-urls":["https:/}
{"level":"info","msg":"restored snapshot","path":"/var/lib/etcd.snapshot","wal-dir":"/var/lib/etcd/member/wal","data-dir":"/var/lib/etcd","snap-dir":"/var/lib/etcd/member/snap"}

Now etcd service should become healthy on the bootstrap node, Kubernetes control plane components should start and control plane endpoint should become available. Remaining control plane nodes join etcd cluster once control plane endpoint is up.

Single Control Plane Node Cluster

This guide applies to the single control plane clusters as well. In fact, it is much more important to take regular snapshots of the etcd database in single control plane node case, as loss of the control plane node might render the whole cluster irrecoverable without a backup.

4.7 - Extension Services

Use extension services in Talos Linux.

Talos provides a way to run additional system services early in the Talos boot process. Extension services should be included into the Talos root filesystem (e.g. using system extensions). Extension services run as privileged containers with ephemeral root filesystem located in the Talos root filesystem.

Extension services can be used to use extend core features of Talos in a way that is not possible via static pods or Kubernetes DaemonSets.

Potential extension services use-cases:

  • storage: Open iSCSI, software RAID, etc.
  • networking: BGP FRR, etc.
  • platform integration: VMWare open VM tools, etc.

Configuration

Talos on boot scans directory /usr/local/etc/containers for *.yaml files describing the extension services to run. Format of the extension service config:

name: hello-world
container:
  entrypoint: ./hello-world
  args:
     - -f
  mounts:
     - # OCI Mount Spec
depends:
   - service: cri
   - path: /run/machined/machined.sock
   - network:
       - addresses
       - connectivity
       - hostname
       - etcfiles
   - time: true
restart: never|always|untilSuccess

name

Field name sets the service name, valid names are [a-z0-9-_]+. The service container root filesystem path is derived from the name: /usr/local/lib/containers/<name>. The extension service will be registered as a Talos service under an ext-<name> identifier.

container

  • entrypoint defines the container entrypoint relative to the container root filesystem (/usr/local/lib/containers/<name>)
  • args defines the additional arguments to pass to the entrypoint
  • mounts defines the volumes to be mounted into the container root

container.mounts

The section mounts uses the standard OCI spec:

- source: /var/log/audit
  destination: /var/log/audit
  type: bind
  options:
    - rshared
    - bind
    - ro

All requested directories will be mounted into the extension service container mount namespace. If the source directory doesn’t exist in the host filesystem, it will be created (only for writable paths in the Talos root filesystem).

container.security

The section security follows this example:

maskedPaths:
  - "/should/be/masked"
readonlyPaths:
  - "/path/that/should/be/readonly"
  - "/another/readonly/path"
writeableRootfs: true
writeableSysfs: true
  • The rootfs is readonly by default unless writeableRootfs: true is set.
  • The sysfs is readonly by default unless writeableSysfs: true is set.
  • Masked paths if not set defaults to containerd defaults. Masked paths will be mounted to /dev/null. To set empty masked paths use:
container:
  security:
    maskedPaths: []
  • Read Only paths if not set defaults to containerd defaults. Read-only paths will be mounted to /dev/null. To set empty read only paths use:
container:
  security:
    readonlyPaths: []

depends

The depends section describes extension service start dependencies: the service will not be started until all dependencies are met.

Available dependencies:

  • service: <name>: wait for the service <name> to be running and healthy
  • path: <path>: wait for the <path> to exist
  • network: [addresses, connectivity, hostname, etcfiles]: wait for the specified network readiness checks to succeed
  • time: true: wait for the NTP time sync

restart

Field restart defines the service restart policy, it allows to either configure an always running service or a one-shot service:

  • always: restart service always
  • never: start service only once and never restart
  • untilSuccess: restart failing service, stop restarting on successful run

Example

Example layout of the Talos root filesystem contents for the extension service:

/
└── usr
    └── local
        ├── etc
        │   └── containers
        │       └── hello-world.yaml
        └── lib
            └── containers
                └── hello-world
                    ├── hello
                    └── config.ini

Talos discovers the extension service configuration in /usr/local/etc/containers/hello-world.yaml:

name: hello-world
container:
  entrypoint: ./hello
  args:
    - --config
    - config.ini
depends:
  - network:
    - addresses
restart: always

Talos starts the container for the extension service with container root filesystem at /usr/local/lib/containers/hello-world:

/
├── hello
└── config.ini

Extension service is registered as ext-hello-world in talosctl services:

$ talosctl service ext-hello-world
NODE     172.20.0.5
ID       ext-hello-world
STATE    Running
HEALTH   ?
EVENTS   [Running]: Started task ext-hello-world (PID 1100) for container ext-hello-world (2m47s ago)
         [Preparing]: Creating service runner (2m47s ago)
         [Preparing]: Running pre state (2m47s ago)
         [Waiting]: Waiting for service "containerd" to be "up" (2m48s ago)
         [Waiting]: Waiting for service "containerd" to be "up", network (2m49s ago)

An extension service can be started, restarted and stopped using talosctl service ext-hello-world start|restart|stop. Use talosctl logs ext-hello-world to get the logs of the service.

Complete example of the extension service can be found in the extensions repository.

4.8 - Migrating from Kubeadm

Migrating Kubeadm-based clusters to Talos.

It is possible to migrate Talos from a cluster that is created using kubeadm to Talos.

High-level steps are the following:

  1. Collect CA certificates and a bootstrap token from a control plane node.
  2. Create a Talos machine config with the CA certificates with the ones you collected.
  3. Update control plane endpoint in the machine config to point to the existing control plane (i.e. your load balancer address).
  4. Boot a new Talos machine and apply the machine config.
  5. Verify that the new control plane node is ready.
  6. Remove one of the old control plane nodes.
  7. Repeat the same steps for all control plane nodes.
  8. Verify that all control plane nodes are ready.
  9. Repeat the same steps for all worker nodes, using the machine config generated for the workers.

Remarks on kube-apiserver load balancer

While migrating to Talos, you need to make sure that your kube-apiserver load balancer is in place and keeps pointing to the correct set of control plane nodes.

This process depends on your load balancer setup.

If you are using an LB that is external to the control plane nodes (e.g. cloud provider LB, F5 BIG-IP, etc.), you need to make sure that you update the backend IPs of the load balancer to point to the control plane nodes as you add Talos nodes and remove kubeadm-based ones.

If your load balancing is done on the control plane nodes (e.g. keepalived + haproxy on the control plane nodes), you can do the following:

  1. Add Talos nodes and remove kubeadm-based ones while updating the haproxy backends to point to the newly added nodes except the last kubeadm-based control plane node.
  2. Turn off keepalived to drop the virtual IP used by the kubeadm-based nodes (introduces kube-apiserver downtime).
  3. Set up a virtual-IP based new load balancer on the new set of Talos control plane nodes. Use the previous LB IP as the LB virtual IP.
  4. Verify apiserver connectivity over the Talos-managed virtual IP.
  5. Migrate the last control-plane node.

Prerequisites

  • Admin access to the kubeadm-based cluster
  • Access to the /etc/kubernetes/pki directory (e.g. SSH & root permissions) on the control plane nodes of the kubeadm-based cluster
  • Access to kube-apiserver load-balancer configuration

Step-by-step guide

  1. Download /etc/kubernetes/pki directory from a control plane node of the kubeadm-based cluster.

  2. Create a new join token for the new control plane nodes:

    # inside a control plane node
    kubeadm token create
    
  3. Create Talos secrets from the PKI directory you downloaded on step 1 and the token you generated on step 2:

    talosctl gen secrets --kubernetes-bootstrap-token <TOKEN> --from-kubernetes-pki <PKI_DIR>
    
  4. Create a new Talos config from the secrets:

    talosctl gen config --with-secrets secrets.yaml <CLUSTER_NAME> https://<EXISTING_CLUSTER_LB_IP>
    
  5. Collect the information about the kubeadm-based cluster from the kubeadm configmap:

    kubectl get configmap -n kube-system kubeadm-config -oyaml
    

    Take note of the following information in the ClusterConfiguration:

    • .controlPlaneEndpoint
    • .networking.dnsDomain
    • .networking.podSubnet
    • .networking.serviceSubnet
  6. Replace the following information in the generated controlplane.yaml:

    • .cluster.network.cni.name with none
    • .cluster.network.podSubnets[0] with the value of the networking.podSubnet from the previous step
    • .cluster.network.serviceSubnets[0] with the value of the networking.serviceSubnet from the previous step
    • .cluster.network.dnsDomain with the value of the networking.dnsDomain from the previous step
  7. Go through the rest of controlplane.yaml and worker.yaml to customize them according to your needs.

  8. Bring up a Talos node to be the initial Talos control plane node.

  9. Apply the generated controlplane.yaml to the Talos control plane node:

    talosctl --nodes <TALOS_NODE_IP> apply-config --insecure --file controlplane.yaml
    
  10. Wait until the new control plane node joins the cluster and is ready.

    kubectl get node -owide --watch
    
  11. Update your load balancer to point to the new control plane node.

  12. Drain the old control plane node you are replacing:

    kubectl drain <OLD_NODE> --delete-emptydir-data --force --ignore-daemonsets --timeout=10m
    
  13. Remove the old control plane node from the cluster:

    kubectl delete node <OLD_NODE>
    
  14. Destroy the old node:

    # inside the node
    sudo kubeadm reset --force
    
  15. Repeat the same steps, starting from step 7, for all control plane nodes.

  16. Repeat the same steps, starting from step 7, for all worker nodes while applying the worker.yaml instead and skipping the LB step:

    talosctl --nodes <TALOS_NODE_IP> apply-config --insecure --file worker.yaml
    

4.9 - Proprietary Kernel Modules

Adding a proprietary kernel module to Talos Linux
  1. Patching and building the kernel image

    1. Clone the pkgs repository from Github and check out the revision corresponding to your version of Talos Linux

      git clone https://github.com/talos-systems/pkgs pkgs && cd pkgs
      git checkout v0.8.0
      
    2. Clone the Linux kernel and check out the revision that pkgs uses (this can be found in kernel/kernel-prepare/pkg.yaml and it will be something like the following: https://cdn.kernel.org/pub/linux/kernel/v5.x/linux-x.xx.x.tar.xz)

      git clone https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git && cd linux
      git checkout v5.15
      
    3. Your module will need to be converted to be in-tree. The steps for this are different depending on the complexity of the module to port, but generally it would involve moving the module source code into the drivers tree and creating a new Makefile and Kconfig.

    4. Stage your changes in Git with git add -A.

    5. Run git diff --cached --no-prefix > foobar.patch to generate a patch from your changes.

    6. Copy this patch to kernel/kernel/patches in the pkgs repo.

    7. Add a patch line in the prepare segment of kernel/kernel/pkg.yaml:

      patch -p0 < /pkg/patches/foobar.patch
      
    8. Build the kernel image. Make sure you are logged in to ghcr.io before running this command, and you can change or omit PLATFORM depending on what you want to target.

      make kernel PLATFORM=linux/amd64 USERNAME=your-username PUSH=true
      
    9. Make a note of the image name the make command outputs.

  2. Building the installer image

    1. Copy the following into a new Dockerfile:

      FROM scratch AS customization
      COPY --from=ghcr.io/your-username/kernel:<kernel version> /lib/modules /lib/modules
      
      FROM ghcr.io/siderolabs/installer:<talos version>
      COPY --from=ghcr.io/your-username/kernel:<kernel version> /boot/vmlinuz /usr/install/${TARGETARCH}/vmlinuz
      
    2. Run to build and push the installer:

      INSTALLER_VERSION=<talos version>
      IMAGE_NAME="ghcr.io/your-username/talos-installer:$INSTALLER_VERSION"
      DOCKER_BUILDKIT=0 docker build --build-arg RM="/lib/modules" -t "$IMAGE_NAME" . && docker push "$IMAGE_NAME"
      
  3. Deploying to your cluster

    talosctl upgrade --image ghcr.io/your-username/talos-installer:<talos version> --preserve=true
    

4.10 - Static Pods

Using Talos Linux to set up static pods in Kubernetes.

Static Pods

Static pods are run directly by the kubelet bypassing the Kubernetes API server checks and validations. Most of the time DaemonSet is a better alternative to static pods, but some workloads need to run before the Kubernetes API server is available or might need to bypass security restrictions imposed by the API server.

See Kubernetes documentation for more information on static pods.

Configuration

Static pod definitions are specified in the Talos machine configuration:

machine:
  pods:
    - apiVersion: v1
       kind: Pod
       metadata:
         name: nginx
       spec:
         containers:
           - name: nginx
             image: nginx

Talos renders static pod definitions to the kubelet manifest directory (/etc/kubernetes/manifests), kubelet picks up the definition and launches the pod.

Talos accepts changes to the static pod configuration without a reboot.

Usage

Kubelet mirrors pod definition to the API server state, so static pods can be inspected with kubectl get pods, logs can be retrieved with kubectl logs, etc.

$ kubectl get pods
NAME                           READY   STATUS    RESTARTS   AGE
nginx-talos-default-controlplane-2   1/1     Running   0          17s

If the API server is not available, status of the static pod can also be inspected with talosctl containers --kubernetes:

$ talosctl containers --kubernetes
NODE         NAMESPACE   ID                                                                                      IMAGE                                                         PID    STATUS
172.20.0.3   k8s.io      default/nginx-talos-default-controlplane-2                                                    k8s.gcr.io/pause:3.6                                          4886   SANDBOX_READY
172.20.0.3   k8s.io      └─ default/nginx-talos-default-controlplane-2:nginx                                           docker.io/library/nginx:latest
...

Logs of static pods can be retrieved with talosctl logs --kubernetes:

$ talosctl logs --kubernetes default/nginx-talos-default-controlplane-2:nginx
172.20.0.3: 2022-02-10T15:26:01.289208227Z stderr F 2022/02/10 15:26:01 [notice] 1#1: using the "epoll" event method
172.20.0.3: 2022-02-10T15:26:01.2892466Z stderr F 2022/02/10 15:26:01 [notice] 1#1: nginx/1.21.6
172.20.0.3: 2022-02-10T15:26:01.28925723Z stderr F 2022/02/10 15:26:01 [notice] 1#1: built by gcc 10.2.1 20210110 (Debian 10.2.1-6)

Troubleshooting

Talos doesn’t perform any validation on the static pod definitions. If the pod isn’t running, use kubelet logs (talosctl logs kubelet) to find the problem:

$ talosctl logs kubelet
172.20.0.2: {"ts":1644505520281.427,"caller":"config/file.go:187","msg":"Could not process manifest file","path":"/etc/kubernetes/manifests/talos-default-nginx-gvisor.yaml","err":"invalid pod: [spec.containers: Required value]"}

Resource Definitions

Static pod definitions are available as StaticPod resources combined with Talos-generated control plane static pods:

$ talosctl get staticpods
NODE         NAMESPACE   TYPE        ID                        VERSION
172.20.0.3   k8s         StaticPod   default-nginx             1
172.20.0.3   k8s         StaticPod   kube-apiserver            1
172.20.0.3   k8s         StaticPod   kube-controller-manager   1
172.20.0.3   k8s         StaticPod   kube-scheduler            1

Talos assigns ID <namespace>-<name> to the static pods specified in the machine configuration.

On control plane nodes status of the running static pods is available in the StaticPodStatus resource:

$ talosctl get staticpodstatus
NODE         NAMESPACE   TYPE              ID                                                           VERSION   READY
172.20.0.3   k8s         StaticPodStatus   default/nginx-talos-default-controlplane-2                         2         True
172.20.0.3   k8s         StaticPodStatus   kube-system/kube-apiserver-talos-default-controlplane-2            2         True
172.20.0.3   k8s         StaticPodStatus   kube-system/kube-controller-manager-talos-default-controlplane-2   3         True
172.20.0.3   k8s         StaticPodStatus   kube-system/kube-scheduler-talos-default-controlplane-2            3         True

4.11 - Talos API access from Kubernetes

How to access Talos API from within Kubernetes.

In this guide, we will enable the Talos feature to access the Talos API from within Kubernetes.

Enabling the Feature

Edit the machine configuration to enable the feature, specifying the Kubernetes namespaces from which Talos API can be accessed and the allowed Talos API roles.

talosctl -n 172.20.0.2 edit machineconfig

Configure the kubernetesTalosAPIAccess like the following:

spec:
  machine:
    features:
      kubernetesTalosAPIAccess:
        enabled: true
        allowedRoles:
          - os:reader
        allowedKubernetesNamespaces:
          - default

Injecting Talos ServiceAccount into manifests

Create the following manifest file deployment.yaml:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: talos-api-access
spec:
  selector:
    matchLabels:
      app: talos-api-access
  template:
    metadata:
      labels:
        app: talos-api-access
    spec:
      containers:
        - name: talos-api-access
          image: alpine:3
          command:
            - sh
            - -c
            - |
              wget -O /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/<talos version>/talosctl-linux-amd64
              chmod +x /usr/local/bin/talosctl
              while true; talosctl -n 172.20.0.2 version; do sleep 1; done              

Note: make sure that you replace the IP 172.20.0.2 with a valid Talos node IP.

Use talosctl inject serviceaccount command to inject the Talos ServiceAccount into the manifest.

talosctl inject serviceaccount -f deployment.yaml > deployment-injected.yaml

Inspect the generated manifest:

apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  name: talos-api-access
spec:
  selector:
    matchLabels:
      app: talos-api-access
  strategy: {}
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: talos-api-access
    spec:
      containers:
      - command:
        - sh
        - -c
        - |
          wget -O /usr/local/bin/talosctl https://github.com/siderolabs/talos/releases/download/<talos version>/talosctl-linux-amd64
          chmod +x /usr/local/bin/talosctl
          while true; talosctl -n 172.20.0.2 version; do sleep 1; done          
        image: alpine:3
        name: talos-api-access
        resources: {}
        volumeMounts:
        - mountPath: /var/run/secrets/talos.dev
          name: talos-secrets
      tolerations:
      - operator: Exists
      volumes:
      - name: talos-secrets
        secret:
          secretName: talos-api-access-talos-secrets
status: {}
---
apiVersion: talos.dev/v1alpha1
kind: ServiceAccount
metadata:
    name: talos-api-access-talos-secrets
spec:
    roles:
        - os:reader
---

As you can notice, your deployment manifest is now injected with the Talos ServiceAccount.

Testing API Access

Apply the new manifest into default namespace:

kubectl apply -n default -f deployment-injected.yaml

Follow the logs of the pods belong to the deployment:

kubectl logs -n default -f -l app=talos-api-access

You’ll see a repeating output similar to the following:

Client:
    Tag:         <talos version>
    SHA:         ....
    Built:
    Go version:  go1.18.4
    OS/Arch:     linux/amd64
Server:
    NODE:        172.20.0.2
    Tag:         <talos version>
    SHA:         ...
    Built:
    Go version:  go1.18.4
    OS/Arch:     linux/amd64
    Enabled:     RBAC

This means that the pod can talk to Talos API of node 172.20.0.2 successfully.

4.12 - Troubleshooting Control Plane

Troubleshoot control plane failures for running cluster and bootstrap process.

In this guide we assume that Talos client config is available and Talos API access is available. Kubernetes client configuration can be pulled from control plane nodes with talosctl -n <IP> kubeconfig (this command works before Kubernetes is fully booted).

What is the control plane endpoint?

The Kubernetes control plane endpoint is the single canonical URL by which the Kubernetes API is accessed. Especially with high-availability (HA) control planes, this endpoint may point to a load balancer or a DNS name which may have multiple A and AAAA records.

Like Talos’ own API, the Kubernetes API uses mutual TLS, client certs, and a common Certificate Authority (CA). Unlike general-purpose websites, there is no need for an upstream CA, so tools such as cert-manager, Let’s Encrypt, or products such as validated TLS certificates are not required. Encryption, however, is, and hence the URL scheme will always be https://.

By default, the Kubernetes API server in Talos runs on port 6443. As such, the control plane endpoint URLs for Talos will almost always be of the form https://endpoint:6443. (The port, since it is not the https default of 443 is required.) The endpoint above may be a DNS name or IP address, but it should be directed to the set of all controlplane nodes, as opposed to a single one.

As mentioned above, this can be achieved by a number of strategies, including:

  • an external load balancer
  • DNS records
  • Talos-builtin shared IP (VIP)
  • BGP peering of a shared IP (such as with kube-vip)

Using a DNS name here is a good idea, since it allows any other option, while offering a layer of abstraction. It allows the underlying IP addresses to change without impacting the canonical URL.

Unlike most services in Kubernetes, the API server runs with host networking, meaning that it shares the network namespace with the host. This means you can use the IP address(es) of the host to refer to the Kubernetes API server.

For availability of the API, it is important that any load balancer be aware of the health of the backend API servers, to minimize disruptions during common node operations like reboots and upgrades.

It is critical that the control plane endpoint works correctly during cluster bootstrap phase, as nodes discover each other using control plane endpoint.

kubelet is not running on control plane node

The kubelet service should be running on control plane nodes as soon as networking is configured:

$ talosctl -n <IP> service kubelet
NODE     172.20.0.2
ID       kubelet
STATE    Running
HEALTH   OK
EVENTS   [Running]: Health check successful (2m54s ago)
         [Running]: Health check failed: Get "http://127.0.0.1:10248/healthz": dial tcp 127.0.0.1:10248: connect: connection refused (3m4s ago)
         [Running]: Started task kubelet (PID 2334) for container kubelet (3m6s ago)
         [Preparing]: Creating service runner (3m6s ago)
         [Preparing]: Running pre state (3m15s ago)
         [Waiting]: Waiting for service "timed" to be "up" (3m15s ago)
         [Waiting]: Waiting for service "cri" to be "up", service "timed" to be "up" (3m16s ago)
         [Waiting]: Waiting for service "cri" to be "up", service "networkd" to be "up", service "timed" to be "up" (3m18s ago)

If the kubelet is not running, it may be due to invalid configuration. Check kubelet logs with the talosctl logs command:

$ talosctl -n <IP> logs kubelet
172.20.0.2: I0305 20:45:07.756948    2334 controller.go:101] kubelet config controller: starting controller
172.20.0.2: I0305 20:45:07.756995    2334 controller.go:267] kubelet config controller: ensuring filesystem is set up correctly
172.20.0.2: I0305 20:45:07.757000    2334 fsstore.go:59] kubelet config controller: initializing config checkpoints directory "/etc/kubernetes/kubelet/store"

etcd is not running

By far the most likely cause of etcd not running is because the cluster has not yet been bootstrapped or because bootstrapping is currently in progress. The talosctl bootstrap command must be run manually and only once per cluster, and this step is commonly missed. Once a node is bootstrapped, it will start etcd and, over the course of a minute or two (depending on the download speed of the control plane nodes), the other control plane nodes should discover it and join themselves to the cluster.

Also, etcd will only run on control plane nodes. If a node is designated as a worker node, you should not expect etcd to be running on it.

When node boots for the first time, the etcd data directory (/var/lib/etcd) is empty, and it will only be populated when etcd is launched.

If etcd is not running, check service etcd state:

$ talosctl -n <IP> service etcd
NODE     172.20.0.2
ID       etcd
STATE    Running
HEALTH   OK
EVENTS   [Running]: Health check successful (3m21s ago)
         [Running]: Started task etcd (PID 2343) for container etcd (3m26s ago)
         [Preparing]: Creating service runner (3m26s ago)
         [Preparing]: Running pre state (3m26s ago)
         [Waiting]: Waiting for service "cri" to be "up", service "networkd" to be "up", service "timed" to be "up" (3m26s ago)

If service is stuck in Preparing state for bootstrap node, it might be related to slow network - at this stage Talos pulls the etcd image from the container registry.

If the etcd service is crashing and restarting, check its logs with talosctl -n <IP> logs etcd. The most common reasons for crashes are:

  • wrong arguments passed via extraArgs in the configuration;
  • booting Talos on non-empty disk with previous Talos installation, /var/lib/etcd contains data from old cluster.

etcd is not running on non-bootstrap control plane node

The etcd service on control plane nodes which were not the target of the cluster bootstrap will wait until the bootstrapped control plane node has completed. The bootstrap and discovery processes may take a few minutes to complete. As soon as the bootstrapped node starts its Kubernetes control plane components, kubectl get endpoints will return the IP of bootstrapped control plane node. At this point, the other control plane nodes will start their etcd services, join the cluster, and then start their own Kubernetes control plane components.

Kubernetes static pod definitions are not generated

Talos should write the static pod definitions for the Kubernetes control plane in /etc/kubernetes/manifests:

$ talosctl -n <IP> ls /etc/kubernetes/manifests
NODE         NAME
172.20.0.2   .
172.20.0.2   talos-kube-apiserver.yaml
172.20.0.2   talos-kube-controller-manager.yaml
172.20.0.2   talos-kube-scheduler.yaml

If the static pod definitions are not rendered, check etcd and kubelet service health (see above) and the controller runtime logs (talosctl logs controller-runtime).

Talos prints error an error on the server ("") has prevented the request from succeeding

This is expected during initial cluster bootstrap and sometimes after a reboot:

[   70.093289] [talos] task labelNodeAsControlPlane (1/1): starting
[   80.094038] [talos] retrying error: an error on the server ("") has prevented the request from succeeding (get nodes talos-default-controlplane-1)

Initially kube-apiserver component is not running yet, and it takes some time before it becomes fully up during bootstrap (image should be pulled from the Internet, etc.) Once the control plane endpoint is up, Talos should continue with its boot process.

If Talos doesn’t proceed, it may be due to a configuration issue.

In any case, the status of the control plane components on each control plane nodes can be checked with talosctl containers -k:

$ talosctl -n <IP> containers --kubernetes
NODE         NAMESPACE   ID                                                                                            IMAGE                                              PID    STATUS
172.20.0.2   k8s.io      kube-system/kube-apiserver-talos-default-controlplane-1                                       k8s.gcr.io/pause:3.2                               2539   SANDBOX_READY
172.20.0.2   k8s.io      └─ kube-system/kube-apiserver-talos-default-controlplane-1:kube-apiserver                     k8s.gcr.io/kube-apiserver:v1.25.5     2572   CONTAINER_RUNNING

If kube-apiserver shows as CONTAINER_EXITED, it might have exited due to configuration error. Logs can be checked with taloctl logs --kubernetes (or with -k as a shorthand):

$ talosctl -n <IP> logs -k kube-system/kube-apiserver-talos-default-controlplane-1:kube-apiserver
172.20.0.2: 2021-03-05T20:46:13.133902064Z stderr F 2021/03/05 20:46:13 Running command:
172.20.0.2: 2021-03-05T20:46:13.133933824Z stderr F Command env: (log-file=, also-stdout=false, redirect-stderr=true)
172.20.0.2: 2021-03-05T20:46:13.133938524Z stderr F Run from directory:
172.20.0.2: 2021-03-05T20:46:13.13394154Z stderr F Executable path: /usr/local/bin/kube-apiserver
...

Talos prints error nodes "talos-default-controlplane-1" not found

This error means that kube-apiserver is up and the control plane endpoint is healthy, but the kubelet hasn’t received its client certificate yet, and it wasn’t able to register itself to Kubernetes. The Kubernetes controller manager (kube-controller-manager)is responsible for monitoring the certificate signing requests (CSRs) and issuing certificates for each of them. The kubelet is responsible for generating and submitting the CSRs for its associated node.

For the kubelet to get its client certificate, then, the Kubernetes control plane must be healthy:

  • the API server is running and available at the Kubernetes control plane endpoint URL
  • the controller manager is running and a leader has been elected

The states of any CSRs can be checked with kubectl get csr:

$ kubectl get csr
NAME        AGE   SIGNERNAME                                    REQUESTOR                 CONDITION
csr-jcn9j   14m   kubernetes.io/kube-apiserver-client-kubelet   system:bootstrap:q9pyzr   Approved,Issued
csr-p6b9q   14m   kubernetes.io/kube-apiserver-client-kubelet   system:bootstrap:q9pyzr   Approved,Issued
csr-sw6rm   14m   kubernetes.io/kube-apiserver-client-kubelet   system:bootstrap:q9pyzr   Approved,Issued
csr-vlghg   14m   kubernetes.io/kube-apiserver-client-kubelet   system:bootstrap:q9pyzr   Approved,Issued

Talos prints error node not ready

A Node in Kubernetes is marked as Ready only once its CNI is up. It takes a minute or two for the CNI images to be pulled and for the CNI to start. If the node is stuck in this state for too long, check CNI pods and logs with kubectl. Usually, CNI-related resources are created in kube-system namespace.

For example, for Talos default Flannel CNI:

$ kubectl -n kube-system get pods
NAME                                             READY   STATUS    RESTARTS   AGE
...
kube-flannel-25drx                               1/1     Running   0          23m
kube-flannel-8lmb6                               1/1     Running   0          23m
kube-flannel-gl7nx                               1/1     Running   0          23m
kube-flannel-jknt9                               1/1     Running   0          23m
...

Talos prints error x509: certificate signed by unknown authority

The full error might look like:

x509: certificate signed by unknown authority (possiby because of crypto/rsa: verification error" while trying to verify candidate authority certificate "kubernetes"

Usually, this occurs because the control plane endpoint points to a different cluster than the client certificate was generated for. If a node was recycled between clusters, make sure it was properly wiped between uses. If a client has multiple client configurations, make sure you are matching the correct talosconfig with the correct cluster.

etcd is running on bootstrap node, but stuck in pre state on non-bootstrap nodes

Please see question etcd is not running on non-bootstrap control plane node.

Checking kube-controller-manager and kube-scheduler

If the control plane endpoint is up, the status of the pods can be ascertained with kubectl:

$ kubectl get pods -n kube-system -l k8s-app=kube-controller-manager
NAME                                                   READY   STATUS    RESTARTS   AGE
kube-controller-manager-talos-default-controlplane-1   1/1     Running   0          28m
kube-controller-manager-talos-default-controlplane-2   1/1     Running   0          28m
kube-controller-manager-talos-default-controlplane-3   1/1     Running   0          28m

If the control plane endpoint is not yet up, the container status of the control plane components can be queried with talosctl containers --kubernetes:

$ talosctl -n <IP> c -k
NODE         NAMESPACE   ID                                                                                            IMAGE                                        PID    STATUS
...
172.20.0.2   k8s.io      kube-system/kube-controller-manager-talos-default-controlplane-1                              k8s.gcr.io/pause:3.2                         2547   SANDBOX_READY
172.20.0.2   k8s.io      └─ kube-system/kube-controller-manager-talos-default-controlplane-1:kube-controller-manager   k8s.gcr.io/kube-controller-manager:v1.25.5   2580   CONTAINER_RUNNING
172.20.0.2   k8s.io      kube-system/kube-scheduler-talos-default-controlplane-1                                       k8s.gcr.io/pause:3.2                         2638   SANDBOX_READY
172.20.0.2   k8s.io      └─ kube-system/kube-scheduler-talos-default-controlplane-1:kube-scheduler                     k8s.gcr.io/kube-scheduler:v1.25.5            2670   CONTAINER_RUNNING
...

If some of the containers are not running, it could be that image is still being pulled. Otherwise the process might crashing. The logs can be checked with talosctl logs --kubernetes <containerID>:

$ talosctl -n <IP> logs -k kube-system/kube-controller-manager-talos-default-controlplane-1:kube-controller-manager
172.20.0.3: 2021-03-09T13:59:34.291667526Z stderr F 2021/03/09 13:59:34 Running command:
172.20.0.3: 2021-03-09T13:59:34.291702262Z stderr F Command env: (log-file=, also-stdout=false, redirect-stderr=true)
172.20.0.3: 2021-03-09T13:59:34.291707121Z stderr F Run from directory:
172.20.0.3: 2021-03-09T13:59:34.291710908Z stderr F Executable path: /usr/local/bin/kube-controller-manager
172.20.0.3: 2021-03-09T13:59:34.291719163Z stderr F Args (comma-delimited): /usr/local/bin/kube-controller-manager,--allocate-node-cidrs=true,--cloud-provider=,--cluster-cidr=10.244.0.0/16,--service-cluster-ip-range=10.96.0.0/12,--cluster-signing-cert-file=/system/secrets/kubernetes/kube-controller-manager/ca.crt,--cluster-signing-key-file=/system/secrets/kubernetes/kube-controller-manager/ca.key,--configure-cloud-routes=false,--kubeconfig=/system/secrets/kubernetes/kube-controller-manager/kubeconfig,--leader-elect=true,--root-ca-file=/system/secrets/kubernetes/kube-controller-manager/ca.crt,--service-account-private-key-file=/system/secrets/kubernetes/kube-controller-manager/service-account.key,--profiling=false
172.20.0.3: 2021-03-09T13:59:34.293870359Z stderr F 2021/03/09 13:59:34 Now listening for interrupts
172.20.0.3: 2021-03-09T13:59:34.761113762Z stdout F I0309 13:59:34.760982      10 serving.go:331] Generated self-signed cert in-memory
...

Checking controller runtime logs

Talos runs a set of controllers which operate on resources to build and support the Kubernetes control plane.

Some debugging information can be queried from the controller logs with talosctl logs controller-runtime:

$ talosctl -n <IP> logs controller-runtime
172.20.0.2: 2021/03/09 13:57:11  secrets.EtcdController: controller starting
172.20.0.2: 2021/03/09 13:57:11  config.MachineTypeController: controller starting
172.20.0.2: 2021/03/09 13:57:11  k8s.ManifestApplyController: controller starting
172.20.0.2: 2021/03/09 13:57:11  v1alpha1.BootstrapStatusController: controller starting
172.20.0.2: 2021/03/09 13:57:11  v1alpha1.TimeStatusController: controller starting
...

Controllers continuously run a reconcile loop, so at any time, they may be starting, failing, or restarting. This is expected behavior.

Things to look for:

v1alpha1.BootstrapStatusController: bootkube initialized status not found: control plane is not self-hosted, running with static pods.

k8s.KubeletStaticPodController: writing static pod "/etc/kubernetes/manifests/talos-kube-apiserver.yaml": static pod definitions were rendered successfully.

k8s.ManifestApplyController: controller failed: error creating mapping for object /v1/Secret/bootstrap-token-q9pyzr: an error on the server ("") has prevented the request from succeeding: control plane endpoint is not up yet, bootstrap manifests can’t be injected, controller is going to retry.

k8s.KubeletStaticPodController: controller failed: error refreshing pod status: error fetching pod status: an error on the server ("Authorization error (user=apiserver-kubelet-client, verb=get, resource=nodes, subresource=proxy)") has prevented the request from succeeding: kubelet hasn’t been able to contact kube-apiserver yet to push pod status, controller is going to retry.

k8s.ManifestApplyController: created rbac.authorization.k8s.io/v1/ClusterRole/psp:privileged: one of the bootstrap manifests got successfully applied.

secrets.KubernetesController: controller failed: missing cluster.aggregatorCA secret: Talos is running with 0.8 configuration, if the cluster was upgraded from 0.8, this is expected, and conversion process will fix machine config automatically. If this cluster was bootstrapped with version 0.9, machine configuration should be regenerated with 0.9 talosctl.

If there are no new messages in the controller-runtime log, it means that the controllers have successfully finished reconciling, and that the current system state is the desired system state.

Checking static pod definitions

Talos generates static pod definitions for the kube-apiserver, kube-controller-manager, and kube-scheduler components based on its machine configuration. These definitions can be checked as resources with talosctl get staticpods:

$ talosctl -n <IP> get staticpods -o yaml
get staticpods -o yaml
node: 172.20.0.2
metadata:
    namespace: controlplane
    type: StaticPods.kubernetes.talos.dev
    id: kube-apiserver
    version: 2
    phase: running
    finalizers:
        - k8s.StaticPodStatus("kube-apiserver")
spec:
    apiVersion: v1
    kind: Pod
    metadata:
        annotations:
            talos.dev/config-version: "1"
            talos.dev/secrets-version: "1"
        creationTimestamp: null
        labels:
            k8s-app: kube-apiserver
            tier: control-plane
        name: kube-apiserver
        namespace: kube-system
...

The status of the static pods can queried with talosctl get staticpodstatus:

$ talosctl -n <IP> get staticpodstatus
NODE         NAMESPACE      TYPE              ID                                                                 VERSION   READY
172.20.0.2   controlplane   StaticPodStatus   kube-system/kube-apiserver-talos-default-controlplane-1            1         True
172.20.0.2   controlplane   StaticPodStatus   kube-system/kube-controller-manager-talos-default-controlplane-1   1         True
172.20.0.2   controlplane   StaticPodStatus   kube-system/kube-scheduler-talos-default-controlplane-1            1         True

The most important status field is READY, which is the last column printed. The complete status can be fetched by adding -o yaml flag.

Checking bootstrap manifests

As part of the bootstrap process, Talos injects bootstrap manifests into Kubernetes API server. There are two kinds of these manifests: system manifests built-in into Talos and extra manifests downloaded (custom CNI, extra manifests in the machine config):

$ talosctl -n <IP> get manifests
NODE         NAMESPACE      TYPE       ID                               VERSION
172.20.0.2   controlplane   Manifest   00-kubelet-bootstrapping-token   1
172.20.0.2   controlplane   Manifest   01-csr-approver-role-binding     1
172.20.0.2   controlplane   Manifest   01-csr-node-bootstrap            1
172.20.0.2   controlplane   Manifest   01-csr-renewal-role-binding      1
172.20.0.2   controlplane   Manifest   02-kube-system-sa-role-binding   1
172.20.0.2   controlplane   Manifest   03-default-pod-security-policy   1
172.20.0.2   controlplane   Manifest   05-https://docs.projectcalico.org/manifests/calico.yaml   1
172.20.0.2   controlplane   Manifest   10-kube-proxy                    1
172.20.0.2   controlplane   Manifest   11-core-dns                      1
172.20.0.2   controlplane   Manifest   11-core-dns-svc                  1
172.20.0.2   controlplane   Manifest   11-kube-config-in-cluster        1

Details of each manifest can be queried by adding -o yaml:

$ talosctl -n <IP> get manifests 01-csr-approver-role-binding --namespace=controlplane -o yaml
node: 172.20.0.2
metadata:
    namespace: controlplane
    type: Manifests.kubernetes.talos.dev
    id: 01-csr-approver-role-binding
    version: 1
    phase: running
spec:
    - apiVersion: rbac.authorization.k8s.io/v1
      kind: ClusterRoleBinding
      metadata:
        name: system-bootstrap-approve-node-client-csr
      roleRef:
        apiGroup: rbac.authorization.k8s.io
        kind: ClusterRole
        name: system:certificates.k8s.io:certificatesigningrequests:nodeclient
      subjects:
        - apiGroup: rbac.authorization.k8s.io
          kind: Group
          name: system:bootstrappers

Worker node is stuck with apid health check failures

Control plane nodes have enough secret material to generate apid server certificates, but worker nodes depend on control plane trustd services to generate certificates. Worker nodes wait for their kubelet to join the cluster. Then the Talos apid queries the Kubernetes endpoints via control plane endpoint to find trustd endpoints. They then use trustd to request and receive their certificate.

So if apid health checks are failing on worker node:

  • make sure control plane endpoint is healthy
  • check that worker node kubelet joined the cluster

5 - Reference

5.1 - API

Talos gRPC API reference.

Table of Contents

Top

common/common.proto

Data

FieldTypeLabelDescription
metadataMetadata
bytesbytes

DataResponse

FieldTypeLabelDescription
messagesDatarepeated

Empty

FieldTypeLabelDescription
metadataMetadata

EmptyResponse

FieldTypeLabelDescription
messagesEmptyrepeated

Error

FieldTypeLabelDescription
codeCode
messagestring
detailsgoogle.protobuf.Anyrepeated

Metadata

Common metadata message nested in all reply message types

FieldTypeLabelDescription
hostnamestringhostname of the server response comes from (injected by proxy)
errorstringerror is set if request failed to the upstream (rest of response is undefined)
statusgoogle.rpc.Statuserror as gRPC Status

NetIP

FieldTypeLabelDescription
ipbytes

NetIPPort

FieldTypeLabelDescription
ipbytes
portint32

NetIPPrefix

FieldTypeLabelDescription
ipbytes
prefix_lengthint32

PEMEncodedCertificateAndKey

FieldTypeLabelDescription
crtbytes
keybytes

PEMEncodedKey

FieldTypeLabelDescription
keybytes

URL

FieldTypeLabelDescription
full_pathstring

Code

NameNumberDescription
FATAL0
LOCKED1
CANCELED2

ContainerDriver

NameNumberDescription
CONTAINERD0
CRI1

File-level Extensions

ExtensionTypeBaseNumberDescription
remove_deprecated_enumstring.google.protobuf.EnumOptions93117Indicates the Talos version when this deprecated enum will be removed from API.
remove_deprecated_enum_valuestring.google.protobuf.EnumValueOptions93117Indicates the Talos version when this deprecated enum value will be removed from API.
remove_deprecated_fieldstring.google.protobuf.FieldOptions93117Indicates the Talos version when this deprecated filed will be removed from API.
remove_deprecated_messagestring.google.protobuf.MessageOptions93117Indicates the Talos version when this deprecated message will be removed from API.
remove_deprecated_methodstring.google.protobuf.MethodOptions93117Indicates the Talos version when this deprecated method will be removed from API.
remove_deprecated_servicestring.google.protobuf.ServiceOptions93117Indicates the Talos version when this deprecated service will be removed from API.

Top

inspect/inspect.proto

ControllerDependencyEdge

FieldTypeLabelDescription
controller_namestring
edge_typeDependencyEdgeType
resource_namespacestring
resource_typestring
resource_idstring

ControllerRuntimeDependenciesResponse

FieldTypeLabelDescription
messagesControllerRuntimeDependencyrepeated

ControllerRuntimeDependency

The ControllerRuntimeDependency message contains the graph of controller-resource dependencies.

FieldTypeLabelDescription
metadatacommon.Metadata
edgesControllerDependencyEdgerepeated

DependencyEdgeType

NameNumberDescription
OUTPUT_EXCLUSIVE0
OUTPUT_SHARED3
INPUT_STRONG1
INPUT_WEAK2
INPUT_DESTROY_READY4

InspectService

The inspect service definition.

InspectService provides auxiliary API to inspect OS internals.

Method NameRequest TypeResponse TypeDescription
ControllerRuntimeDependencies.google.protobuf.EmptyControllerRuntimeDependenciesResponse

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machine/machine.proto

AddressEvent

AddressEvent reports node endpoints aggregated from k8s.Endpoints and network.Hostname.

FieldTypeLabelDescription
hostnamestring
addressesstringrepeated

ApplyConfiguration

ApplyConfigurationResponse describes the response to a configuration request.

FieldTypeLabelDescription
metadatacommon.Metadata
warningsstringrepeatedConfiguration validation warnings.
modeApplyConfigurationRequest.ModeStates which mode was actually chosen.
mode_detailsstringHuman-readable message explaining the result of the apply configuration call.

ApplyConfigurationRequest

rpc applyConfiguration ApplyConfiguration describes a request to assert a new configuration upon a node.

FieldTypeLabelDescription
databytes
on_rebootboolDeprecated. replaced by mode
immediateboolDeprecated. replaced by mode
modeApplyConfigurationRequest.Mode
dry_runbool
try_mode_timeoutgoogle.protobuf.Duration

ApplyConfigurationResponse

FieldTypeLabelDescription
messagesApplyConfigurationrepeated

BPFInstruction

FieldTypeLabelDescription
opuint32
jtuint32
jfuint32
kuint32

Bootstrap

The bootstrap message containing the bootstrap status.

FieldTypeLabelDescription
metadatacommon.Metadata

BootstrapRequest

rpc Bootstrap

FieldTypeLabelDescription
recover_etcdboolEnable etcd recovery from the snapshot.

Snapshot should be uploaded before this call via EtcdRecover RPC. | | recover_skip_hash_check | bool | | Skip hash check on the snapshot (etcd).

Enable this when recovering from data directory copy to skip integrity check. |

BootstrapResponse

FieldTypeLabelDescription
messagesBootstraprepeated

CNIConfig

FieldTypeLabelDescription
namestring
urlsstringrepeated

CPUInfo

FieldTypeLabelDescription
processoruint32
vendor_idstring
cpu_familystring
modelstring
model_namestring
steppingstring
microcodestring
cpu_mhzdouble
cache_sizestring
physical_idstring
siblingsuint32
core_idstring
cpu_coresuint32
apic_idstring
initial_apic_idstring
fpustring
fpu_exceptionstring
cpu_id_leveluint32
wpstring
flagsstringrepeated
bugsstringrepeated
bogo_mipsdouble
cl_flush_sizeuint32
cache_alignmentuint32
address_sizesstring
power_managementstring

CPUInfoResponse

FieldTypeLabelDescription
messagesCPUsInforepeated

CPUStat

FieldTypeLabelDescription
userdouble
nicedouble
systemdouble
idledouble
iowaitdouble
irqdouble
soft_irqdouble
stealdouble
guestdouble
guest_nicedouble

CPUsInfo

FieldTypeLabelDescription
metadatacommon.Metadata
cpu_infoCPUInforepeated

ClusterConfig

FieldTypeLabelDescription
namestring
control_planeControlPlaneConfig
cluster_networkClusterNetworkConfig
allow_scheduling_on_control_planesbool

ClusterNetworkConfig

FieldTypeLabelDescription
dns_domainstring
cni_configCNIConfig

ConfigLoadErrorEvent

ConfigLoadErrorEvent is reported when the config loading has failed.

FieldTypeLabelDescription
errorstring

ConfigValidationErrorEvent

ConfigValidationErrorEvent is reported when config validation has failed.

FieldTypeLabelDescription
errorstring

Container

The messages message containing the requested containers.

FieldTypeLabelDescription
metadatacommon.Metadata
containersContainerInforepeated

ContainerInfo

The messages message containing the requested containers.

FieldTypeLabelDescription
namespacestring
idstring
imagestring
piduint32
statusstring
pod_idstring
namestring

ContainersRequest

FieldTypeLabelDescription
namespacestring
drivercommon.ContainerDriverdriver might be default “containerd” or “cri”

ContainersResponse

FieldTypeLabelDescription
messagesContainerrepeated

ControlPlaneConfig

FieldTypeLabelDescription
endpointstring

CopyRequest

CopyRequest describes a request to copy data out of Talos node

Copy produces .tar.gz archive which is streamed back to the caller

FieldTypeLabelDescription
root_pathstringRoot path to start copying data out, it might be either a file or directory

DHCPOptionsConfig

FieldTypeLabelDescription
route_metricuint32

DiskStat

FieldTypeLabelDescription
namestring
read_completeduint64
read_mergeduint64
read_sectorsuint64
read_time_msuint64
write_completeduint64
write_mergeduint64
write_sectorsuint64
write_time_msuint64
io_in_progressuint64
io_time_msuint64
io_time_weighted_msuint64
discard_completeduint64
discard_mergeduint64
discard_sectorsuint64
discard_time_msuint64

DiskStats

FieldTypeLabelDescription
metadatacommon.Metadata
totalDiskStat
devicesDiskStatrepeated

DiskStatsResponse

FieldTypeLabelDescription
messagesDiskStatsrepeated

DiskUsageInfo

DiskUsageInfo describes a file or directory’s information for du command

FieldTypeLabelDescription
metadatacommon.Metadata
namestringName is the name (including prefixed path) of the file or directory
sizeint64Size indicates the number of bytes contained within the file
errorstringError describes any error encountered while trying to read the file information.
relative_namestringRelativeName is the name of the file or directory relative to the RootPath

DiskUsageRequest

DiskUsageRequest describes a request to list disk usage of directories and regular files

FieldTypeLabelDescription
recursion_depthint32RecursionDepth indicates how many levels of subdirectories should be recursed. The default (0) indicates that no limit should be enforced.
allboolAll write sizes for all files, not just directories.
thresholdint64Threshold exclude entries smaller than SIZE if positive, or entries greater than SIZE if negative.
pathsstringrepeatedDiskUsagePaths is the list of directories to calculate disk usage for.

DmesgRequest

dmesg

FieldTypeLabelDescription
followbool
tailbool

EtcdForfeitLeadership

FieldTypeLabelDescription
metadatacommon.Metadata
memberstring

EtcdForfeitLeadershipRequest

EtcdForfeitLeadershipResponse

FieldTypeLabelDescription
messagesEtcdForfeitLeadershiprepeated

EtcdLeaveCluster

FieldTypeLabelDescription
metadatacommon.Metadata

EtcdLeaveClusterRequest

EtcdLeaveClusterResponse

FieldTypeLabelDescription
messagesEtcdLeaveClusterrepeated

EtcdMember

EtcdMember describes a single etcd member.

FieldTypeLabelDescription
iduint64member ID.
hostnamestringhuman-readable name of the member.
peer_urlsstringrepeatedthe list of URLs the member exposes to clients for communication.
client_urlsstringrepeatedthe list of URLs the member exposes to the cluster for communication.
is_learnerboollearner flag

EtcdMemberListRequest

FieldTypeLabelDescription
query_localbool

EtcdMemberListResponse

FieldTypeLabelDescription
messagesEtcdMembersrepeated

EtcdMembers

EtcdMembers contains the list of members registered on the host.

FieldTypeLabelDescription
metadatacommon.Metadata
legacy_membersstringrepeatedlist of member hostnames.
membersEtcdMemberrepeatedthe list of etcd members registered on the node.

EtcdRecover

FieldTypeLabelDescription
metadatacommon.Metadata

EtcdRecoverResponse

FieldTypeLabelDescription
messagesEtcdRecoverrepeated

EtcdRemoveMember

FieldTypeLabelDescription
metadatacommon.Metadata

EtcdRemoveMemberRequest

FieldTypeLabelDescription
memberstring

EtcdRemoveMemberResponse

FieldTypeLabelDescription
messagesEtcdRemoveMemberrepeated

EtcdSnapshotRequest

Event

FieldTypeLabelDescription
metadatacommon.Metadata
datagoogle.protobuf.Any
idstring
actor_idstring

EventsRequest

FieldTypeLabelDescription
tail_eventsint32
tail_idstring
tail_secondsint32
with_actor_idstring

FeaturesInfo

FeaturesInfo describes individual Talos features that can be switched on or off.

FieldTypeLabelDescription
rbacboolRBAC is true if role-based access control is enabled.

FileInfo

FileInfo describes a file or directory’s information

FieldTypeLabelDescription
metadatacommon.Metadata
namestringName is the name (including prefixed path) of the file or directory
sizeint64Size indicates the number of bytes contained within the file
modeuint32Mode is the bitmap of UNIX mode/permission flags of the file
modifiedint64Modified indicates the UNIX timestamp at which the file was last modified
is_dirboolIsDir indicates that the file is a directory
errorstringError describes any error encountered while trying to read the file information.
linkstringLink is filled with symlink target
relative_namestringRelativeName is the name of the file or directory relative to the RootPath
uiduint32Owner uid
giduint32Owner gid

GenerateClientConfiguration

FieldTypeLabelDescription
metadatacommon.Metadata
cabytesPEM-encoded CA certificate.
crtbytesPEM-encoded generated client certificate.
keybytesPEM-encoded generated client key.
talosconfigbytesClient configuration (talosconfig) file content.

GenerateClientConfigurationRequest

FieldTypeLabelDescription
rolesstringrepeatedRoles in the generated client certificate.
crt_ttlgoogle.protobuf.DurationClient certificate TTL.

GenerateClientConfigurationResponse

FieldTypeLabelDescription
messagesGenerateClientConfigurationrepeated

GenerateConfiguration

GenerateConfiguration describes the response to a generate configuration request.

FieldTypeLabelDescription
metadatacommon.Metadata
databytesrepeated
talosconfigbytes

GenerateConfigurationRequest

GenerateConfigurationRequest describes a request to generate a new configuration on a node.

FieldTypeLabelDescription
config_versionstring
cluster_configClusterConfig
machine_configMachineConfig
override_timegoogle.protobuf.Timestamp

GenerateConfigurationResponse

FieldTypeLabelDescription
messagesGenerateConfigurationrepeated

Hostname

FieldTypeLabelDescription
metadatacommon.Metadata
hostnamestring

HostnameResponse

FieldTypeLabelDescription
messagesHostnamerepeated

InstallConfig

FieldTypeLabelDescription
install_diskstring
install_imagestring

ListRequest

ListRequest describes a request to list the contents of a directory.

FieldTypeLabelDescription
rootstringRoot indicates the root directory for the list. If not indicated, ‘/’ is presumed.
recurseboolRecurse indicates that subdirectories should be recursed.
recursion_depthint32RecursionDepth indicates how many levels of subdirectories should be recursed. The default (0) indicates that no limit should be enforced.
typesListRequest.TyperepeatedTypes indicates what file type should be returned. If not indicated, all files will be returned.

LoadAvg

FieldTypeLabelDescription
metadatacommon.Metadata
load1double
load5double
load15double

LoadAvgResponse

FieldTypeLabelDescription
messagesLoadAvgrepeated

LogsRequest

rpc logs The request message containing the process name.

FieldTypeLabelDescription
namespacestring
idstring
drivercommon.ContainerDriverdriver might be default “containerd” or “cri”
followbool
tail_linesint32

MachineConfig

FieldTypeLabelDescription
typeMachineConfig.MachineType
install_configInstallConfig
network_configNetworkConfig
kubernetes_versionstring

MachineStatusEvent

MachineStatusEvent reports changes to the MachineStatus resource.

FieldTypeLabelDescription
stageMachineStatusEvent.MachineStage
statusMachineStatusEvent.MachineStatus

MachineStatusEvent.MachineStatus

FieldTypeLabelDescription
readybool
unmet_conditionsMachineStatusEvent.MachineStatus.UnmetConditionrepeated

MachineStatusEvent.MachineStatus.UnmetCondition

FieldTypeLabelDescription
namestring
reasonstring

MemInfo

FieldTypeLabelDescription
memtotaluint64
memfreeuint64
memavailableuint64
buffersuint64
cacheduint64
swapcacheduint64
activeuint64
inactiveuint64
activeanonuint64
inactiveanonuint64
activefileuint64
inactivefileuint64
unevictableuint64
mlockeduint64
swaptotaluint64
swapfreeuint64
dirtyuint64
writebackuint64
anonpagesuint64
mappeduint64
shmemuint64
slabuint64
sreclaimableuint64
sunreclaimuint64
kernelstackuint64
pagetablesuint64
nfsunstableuint64
bounceuint64
writebacktmpuint64
commitlimituint64
committedasuint64
vmalloctotaluint64
vmallocuseduint64
vmallocchunkuint64
hardwarecorrupteduint64
anonhugepagesuint64
shmemhugepagesuint64
shmempmdmappeduint64
cmatotaluint64
cmafreeuint64
hugepagestotaluint64
hugepagesfreeuint64
hugepagesrsvduint64
hugepagessurpuint64
hugepagesizeuint64
directmap4kuint64
directmap2muint64
directmap1guint64

Memory

FieldTypeLabelDescription
metadatacommon.Metadata
meminfoMemInfo

MemoryResponse

FieldTypeLabelDescription
messagesMemoryrepeated

MountStat

The messages message containing the requested processes.

FieldTypeLabelDescription
filesystemstring
sizeuint64
availableuint64
mounted_onstring

Mounts

The messages message containing the requested df stats.

FieldTypeLabelDescription
metadatacommon.Metadata
statsMountStatrepeated

MountsResponse

FieldTypeLabelDescription
messagesMountsrepeated

NetDev

FieldTypeLabelDescription
namestring
rx_bytesuint64
rx_packetsuint64
rx_errorsuint64
rx_droppeduint64
rx_fifouint64
rx_frameuint64
rx_compresseduint64
rx_multicastuint64
tx_bytesuint64
tx_packetsuint64
tx_errorsuint64
tx_droppeduint64
tx_fifouint64
tx_collisionsuint64
tx_carrieruint64
tx_compresseduint64

NetworkConfig

FieldTypeLabelDescription
hostnamestring
interfacesNetworkDeviceConfigrepeated

NetworkDeviceConfig

FieldTypeLabelDescription
interfacestring
cidrstring
mtuint32
dhcpbool
ignorebool
dhcp_optionsDHCPOptionsConfig
routesRouteConfigrepeated

NetworkDeviceStats

FieldTypeLabelDescription
metadatacommon.Metadata
totalNetDev
devicesNetDevrepeated

NetworkDeviceStatsResponse

FieldTypeLabelDescription
messagesNetworkDeviceStatsrepeated

PacketCaptureRequest

FieldTypeLabelDescription
interfacestringInterface name to perform packet capture on.
promiscuousboolEnable promiscuous mode.
snap_lenuint32Snap length in bytes.
bpf_filterBPFInstructionrepeatedBPF filter.

PhaseEvent

FieldTypeLabelDescription
phasestring
actionPhaseEvent.Action

PlatformInfo

FieldTypeLabelDescription
namestring
modestring

Process

FieldTypeLabelDescription
metadatacommon.Metadata
processesProcessInforepeated

ProcessInfo

FieldTypeLabelDescription
pidint32
ppidint32
statestring
threadsint32
cpu_timedouble
virtual_memoryuint64
resident_memoryuint64
commandstring
executablestring
argsstring

ProcessesResponse

rpc processes

FieldTypeLabelDescription
messagesProcessrepeated

ReadRequest

FieldTypeLabelDescription
pathstring

Reboot

The reboot message containing the reboot status.

FieldTypeLabelDescription
metadatacommon.Metadata
actor_idstring

RebootRequest

rpc reboot

FieldTypeLabelDescription
modeRebootRequest.Mode

RebootResponse

FieldTypeLabelDescription
messagesRebootrepeated

Reset

The reset message containing the restart status.

FieldTypeLabelDescription
metadatacommon.Metadata
actor_idstring

ResetPartitionSpec

rpc reset

FieldTypeLabelDescription
labelstring
wipebool

ResetRequest

FieldTypeLabelDescription
gracefulboolGraceful indicates whether node should leave etcd before the upgrade, it also enforces etcd checks before leaving.
rebootboolReboot indicates whether node should reboot or halt after resetting.
system_partitions_to_wipeResetPartitionSpecrepeatedSystem_partitions_to_wipe lists specific system disk partitions to be reset (wiped). If system_partitions_to_wipe is empty, all the partitions are erased.

ResetResponse

FieldTypeLabelDescription
messagesResetrepeated

Restart

FieldTypeLabelDescription
metadatacommon.Metadata

RestartEvent

FieldTypeLabelDescription
cmdint64

RestartRequest

rpc restart The request message containing the process to restart.

FieldTypeLabelDescription
namespacestring
idstring
drivercommon.ContainerDriverdriver might be default “containerd” or “cri”

RestartResponse

The messages message containing the restart status.

FieldTypeLabelDescription
messagesRestartrepeated

Rollback

FieldTypeLabelDescription
metadatacommon.Metadata

RollbackRequest

rpc rollback

RollbackResponse

FieldTypeLabelDescription
messagesRollbackrepeated

RouteConfig

FieldTypeLabelDescription
networkstring
gatewaystring
metricuint32

SequenceEvent

rpc events

FieldTypeLabelDescription
sequencestring
actionSequenceEvent.Action
errorcommon.Error

ServiceEvent

FieldTypeLabelDescription
msgstring
statestring
tsgoogle.protobuf.Timestamp

ServiceEvents

FieldTypeLabelDescription
eventsServiceEventrepeated

ServiceHealth

FieldTypeLabelDescription
unknownbool
healthybool
last_messagestring
last_changegoogle.protobuf.Timestamp

ServiceInfo

FieldTypeLabelDescription
idstring
statestring
eventsServiceEvents
healthServiceHealth

ServiceList

rpc servicelist

FieldTypeLabelDescription
metadatacommon.Metadata
servicesServiceInforepeated

ServiceListResponse

FieldTypeLabelDescription
messagesServiceListrepeated

ServiceRestart

FieldTypeLabelDescription
metadatacommon.Metadata
respstring

ServiceRestartRequest

FieldTypeLabelDescription
idstring

ServiceRestartResponse

FieldTypeLabelDescription
messagesServiceRestartrepeated

ServiceStart

FieldTypeLabelDescription
metadatacommon.Metadata
respstring

ServiceStartRequest

rpc servicestart

FieldTypeLabelDescription
idstring

ServiceStartResponse

FieldTypeLabelDescription
messagesServiceStartrepeated

ServiceStateEvent

FieldTypeLabelDescription
servicestring
actionServiceStateEvent.Action
messagestring
healthServiceHealth

ServiceStop

FieldTypeLabelDescription
metadatacommon.Metadata
respstring

ServiceStopRequest

FieldTypeLabelDescription
idstring

ServiceStopResponse

FieldTypeLabelDescription
messagesServiceStoprepeated

Shutdown

rpc shutdown The messages message containing the shutdown status.

FieldTypeLabelDescription
metadatacommon.Metadata
actor_idstring

ShutdownRequest

FieldTypeLabelDescription
forceboolForce indicates whether node should shutdown without first cordening and draining

ShutdownResponse

FieldTypeLabelDescription
messagesShutdownrepeated

SoftIRQStat

FieldTypeLabelDescription
hiuint64
timeruint64
net_txuint64
net_rxuint64
blockuint64
block_io_polluint64
taskletuint64
scheduint64
hrtimeruint64
rcuuint64

Stat

The messages message containing the requested stat.

FieldTypeLabelDescription
namespacestring
idstring
memory_usageuint64
cpu_usageuint64
pod_idstring
namestring

Stats

The messages message containing the requested stats.

FieldTypeLabelDescription
metadatacommon.Metadata
statsStatrepeated

StatsRequest

The request message containing the containerd namespace.

FieldTypeLabelDescription
namespacestring
drivercommon.ContainerDriverdriver might be default “containerd” or “cri”

StatsResponse

FieldTypeLabelDescription
messagesStatsrepeated

SystemStat

FieldTypeLabelDescription
metadatacommon.Metadata
boot_timeuint64
cpu_totalCPUStat
cpuCPUStatrepeated
irq_totaluint64
irquint64repeated
context_switchesuint64
process_createduint64
process_runninguint64
process_blockeduint64
soft_irq_totaluint64
soft_irqSoftIRQStat

SystemStatResponse

FieldTypeLabelDescription
messagesSystemStatrepeated

TaskEvent

FieldTypeLabelDescription
taskstring
actionTaskEvent.Action

Upgrade

FieldTypeLabelDescription
metadatacommon.Metadata
ackstring
actor_idstring

UpgradeRequest

rpc upgrade

FieldTypeLabelDescription
imagestring
preservebool
stagebool
forcebool

UpgradeResponse

FieldTypeLabelDescription
messagesUpgraderepeated

Version

FieldTypeLabelDescription
metadatacommon.Metadata
versionVersionInfo
platformPlatformInfo
featuresFeaturesInfoFeatures describe individual Talos features that can be switched on or off.

VersionInfo

FieldTypeLabelDescription
tagstring
shastring
builtstring
go_versionstring
osstring
archstring

VersionResponse

FieldTypeLabelDescription
messagesVersionrepeated

ApplyConfigurationRequest.Mode

NameNumberDescription
REBOOT0
AUTO1
NO_REBOOT2
STAGED3
TRY4

ListRequest.Type

File type.

NameNumberDescription
REGULAR0Regular file (not directory, symlink, etc).
DIRECTORY1Directory.
SYMLINK2Symbolic link.

MachineConfig.MachineType

NameNumberDescription
TYPE_UNKNOWN0
TYPE_INIT1
TYPE_CONTROL_PLANE2
TYPE_WORKER3

MachineStatusEvent.MachineStage

NameNumberDescription
UNKNOWN0
BOOTING1
INSTALLING2
MAINTENANCE3
RUNNING4
REBOOTING5
SHUTTING_DOWN6
RESETTING7
UPGRADING8

PhaseEvent.Action

NameNumberDescription
START0
STOP1

RebootRequest.Mode

NameNumberDescription
DEFAULT0
POWERCYCLE1

SequenceEvent.Action

NameNumberDescription
NOOP0
START1
STOP2

ServiceStateEvent.Action

NameNumberDescription
INITIALIZED0
PREPARING1
WAITING2
RUNNING3
STOPPING4
FINISHED5
FAILED6
SKIPPED7

TaskEvent.Action

NameNumberDescription
START0
STOP1

MachineService

The machine service definition.

Method NameRequest TypeResponse TypeDescription
ApplyConfigurationApplyConfigurationRequestApplyConfigurationResponse
BootstrapBootstrapRequestBootstrapResponseBootstrap method makes control plane node enter etcd bootstrap mode.

Node aborts etcd join sequence and creates single-node etcd cluster.

If recover_etcd argument is specified, etcd is recovered from a snapshot uploaded with EtcdRecover. | | Containers | ContainersRequest | ContainersResponse | | | Copy | CopyRequest | .common.Data stream | | | CPUInfo | .google.protobuf.Empty | CPUInfoResponse | | | DiskStats | .google.protobuf.Empty | DiskStatsResponse | | | Dmesg | DmesgRequest | .common.Data stream | | | Events | EventsRequest | Event stream | | | EtcdMemberList | EtcdMemberListRequest | EtcdMemberListResponse | | | EtcdRemoveMember | EtcdRemoveMemberRequest | EtcdRemoveMemberResponse | | | EtcdLeaveCluster | EtcdLeaveClusterRequest | EtcdLeaveClusterResponse | | | EtcdForfeitLeadership | EtcdForfeitLeadershipRequest | EtcdForfeitLeadershipResponse | | | EtcdRecover | .common.Data stream | EtcdRecoverResponse | EtcdRecover method uploads etcd data snapshot created with EtcdSnapshot to the node.

Snapshot can be later used to recover the cluster via Bootstrap method. | | EtcdSnapshot | EtcdSnapshotRequest | .common.Data stream | EtcdSnapshot method creates etcd data snapshot (backup) from the local etcd instance and streams it back to the client.

This method is available only on control plane nodes (which run etcd). | | GenerateConfiguration | GenerateConfigurationRequest | GenerateConfigurationResponse | | | Hostname | .google.protobuf.Empty | HostnameResponse | | | Kubeconfig | .google.protobuf.Empty | .common.Data stream | | | List | ListRequest | FileInfo stream | | | DiskUsage | DiskUsageRequest | DiskUsageInfo stream | | | LoadAvg | .google.protobuf.Empty | LoadAvgResponse | | | Logs | LogsRequest | .common.Data stream | | | Memory | .google.protobuf.Empty | MemoryResponse | | | Mounts | .google.protobuf.Empty | MountsResponse | | | NetworkDeviceStats | .google.protobuf.Empty | NetworkDeviceStatsResponse | | | Processes | .google.protobuf.Empty | ProcessesResponse | | | Read | ReadRequest | .common.Data stream | | | Reboot | RebootRequest | RebootResponse | | | Restart | RestartRequest | RestartResponse | | | Rollback | RollbackRequest | RollbackResponse | | | Reset | ResetRequest | ResetResponse | | | ServiceList | .google.protobuf.Empty | ServiceListResponse | | | ServiceRestart | ServiceRestartRequest | ServiceRestartResponse | | | ServiceStart | ServiceStartRequest | ServiceStartResponse | | | ServiceStop | ServiceStopRequest | ServiceStopResponse | | | Shutdown | ShutdownRequest | ShutdownResponse | | | Stats | StatsRequest | StatsResponse | | | SystemStat | .google.protobuf.Empty | SystemStatResponse | | | Upgrade | UpgradeRequest | UpgradeResponse | | | Version | .google.protobuf.Empty | VersionResponse | | | GenerateClientConfiguration | GenerateClientConfigurationRequest | GenerateClientConfigurationResponse | GenerateClientConfiguration generates talosctl client configuration (talosconfig). | | PacketCapture | PacketCaptureRequest | .common.Data stream | PacketCapture performs packet capture and streams back pcap file. |

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resource/resource.proto

Get

The GetResponse message contains the Resource returned.

FieldTypeLabelDescription
metadatacommon.Metadata
definitionResource
resourceResource

GetRequest

rpc Get

FieldTypeLabelDescription
namespacestring
typestring
idstring

GetResponse

FieldTypeLabelDescription
messagesGetrepeated

ListRequest

rpc List The ListResponse message contains the Resource returned.

FieldTypeLabelDescription
namespacestring
typestring

ListResponse

FieldTypeLabelDescription
metadatacommon.Metadata
definitionResource
resourceResource

Metadata

FieldTypeLabelDescription
namespacestring
typestring
idstring
versionstring
ownerstring
phasestring
createdgoogle.protobuf.Timestamp
updatedgoogle.protobuf.Timestamp
finalizersstringrepeated
labelsMetadata.LabelsEntryrepeated

Metadata.LabelsEntry

FieldTypeLabelDescription
keystring
valuestring

Resource

FieldTypeLabelDescription
metadataMetadata
specSpec

Spec

FieldTypeLabelDescription
yamlbytes

WatchRequest

rpc Watch The WatchResponse message contains the Resource returned.

FieldTypeLabelDescription
namespacestring
typestring
idstring
tail_eventsuint32

WatchResponse

FieldTypeLabelDescription
metadatacommon.Metadata
event_typeEventType
definitionResource
resourceResource

EventType

NameNumberDescription
CREATED0
UPDATED1
DESTROYED2

ResourceService

The resource service definition.

ResourceService provides user-facing API for the Talos resources.

Method NameRequest TypeResponse TypeDescription
GetGetRequestGetResponse
ListListRequestListResponse stream
WatchWatchRequestWatchResponse stream

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security/security.proto

CertificateRequest

The request message containing the certificate signing request.

FieldTypeLabelDescription
csrbytesCertificate Signing Request in PEM format.

CertificateResponse

The response message containing signed certificate.

FieldTypeLabelDescription
cabytesCertificate of the CA that signed the requested certificate in PEM format.
crtbytesSigned X.509 requested certificate in PEM format.

SecurityService

The security service definition.

Method NameRequest TypeResponse TypeDescription
CertificateCertificateRequestCertificateResponse

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storage/storage.proto

Disk

Disk represents a disk.

FieldTypeLabelDescription
sizeuint64Size indicates the disk size in bytes.
modelstringModel idicates the disk model.
device_namestringDeviceName indicates the disk name (e.g. sda).
namestringName as in /sys/block/<dev>/device/name.
serialstringSerial as in /sys/block/<dev>/device/serial.
modaliasstringModalias as in /sys/block/<dev>/device/modalias.
uuidstringUuid as in /sys/block/<dev>/device/uuid.
wwidstringWwid as in /sys/block/<dev>/device/wwid.
typeDisk.DiskTypeType is a type of the disk: nvme, ssd, hdd, sd card.
bus_pathstringBusPath is the bus path of the disk.

Disks

DisksResponse represents the response of the Disks RPC.

FieldTypeLabelDescription
metadatacommon.Metadata
disksDiskrepeated

DisksResponse

FieldTypeLabelDescription
messagesDisksrepeated

Disk.DiskType

NameNumberDescription
UNKNOWN0
SSD1
HDD2
NVME3
SD4

StorageService

StorageService represents the storage service.

Method NameRequest TypeResponse TypeDescription
Disks.google.protobuf.EmptyDisksResponse

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time/time.proto

Time

FieldTypeLabelDescription
metadatacommon.Metadata
serverstring
localtimegoogle.protobuf.Timestamp
remotetimegoogle.protobuf.Timestamp

TimeRequest

The response message containing the ntp server

FieldTypeLabelDescription
serverstring

TimeResponse

The response message containing the ntp server, time, and offset

FieldTypeLabelDescription
messagesTimerepeated

TimeService

The time service definition.

Method NameRequest TypeResponse TypeDescription
Time.google.protobuf.EmptyTimeResponse
TimeCheckTimeRequestTimeResponse

Scalar Value Types

.proto TypeNotesC++JavaPythonGoC#PHPRuby
doubledoubledoublefloatfloat64doublefloatFloat
floatfloatfloatfloatfloat32floatfloatFloat
int32Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint32 instead.int32intintint32intintegerBignum or Fixnum (as required)
int64Uses variable-length encoding. Inefficient for encoding negative numbers – if your field is likely to have negative values, use sint64 instead.int64longint/longint64longinteger/stringBignum
uint32Uses variable-length encoding.uint32intint/longuint32uintintegerBignum or Fixnum (as required)
uint64Uses variable-length encoding.uint64longint/longuint64ulonginteger/stringBignum or Fixnum (as required)
sint32Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int32s.int32intintint32intintegerBignum or Fixnum (as required)
sint64Uses variable-length encoding. Signed int value. These more efficiently encode negative numbers than regular int64s.int64longint/longint64longinteger/stringBignum
fixed32Always four bytes. More efficient than uint32 if values are often greater than 2^28.uint32intintuint32uintintegerBignum or Fixnum (as required)
fixed64Always eight bytes. More efficient than uint64 if values are often greater than 2^56.uint64longint/longuint64ulonginteger/stringBignum
sfixed32Always four bytes.int32intintint32intintegerBignum or Fixnum (as required)
sfixed64Always eight bytes.int64longint/longint64longinteger/stringBignum
boolboolbooleanbooleanboolboolbooleanTrueClass/FalseClass
stringA string must always contain UTF-8 encoded or 7-bit ASCII text.stringStringstr/unicodestringstringstringString (UTF-8)
bytesMay contain any arbitrary sequence of bytes.stringByteStringstr[]byteByteStringstringString (ASCII-8BIT)

5.2 - CLI

talosctl apply-config

Apply a new configuration to a node

talosctl apply-config [flags]

Options

      --cert-fingerprint strings                                 list of server certificate fingeprints to accept (defaults to no check)
  -p, --config-patch strings                                     the list of config patches to apply to the local config file before sending it to the node
      --dry-run                                                  check how the config change will be applied in dry-run mode
  -f, --file string                                              the filename of the updated configuration
  -h, --help                                                     help for apply-config
  -i, --insecure                                                 apply the config using the insecure (encrypted with no auth) maintenance service
  -m, --mode auto, interactive, no-reboot, reboot, staged, try   apply config mode (default auto)
      --timeout duration                                         the config will be rolled back after specified timeout (if try mode is selected) (default 1m0s)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl bootstrap

Bootstrap the etcd cluster on the specified node.

Synopsis

When Talos cluster is created etcd service on control plane nodes enter the join loop waiting to join etcd peers from other control plane nodes. One node should be picked as the boostrap node. When boostrap command is issued, the node aborts join process and bootstraps etcd cluster as a single node cluster. Other control plane nodes will join etcd cluster once Kubernetes is boostrapped on the bootstrap node.

This command should not be used when “init” type node are used.

Talos etcd cluster can be recovered from a known snapshot with ‘–recover-from=’ flag.

talosctl bootstrap [flags]

Options

  -h, --help                      help for bootstrap
      --recover-from string       recover etcd cluster from the snapshot
      --recover-skip-hash-check   skip integrity check when recovering etcd (use when recovering from data directory copy)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl cluster create

Creates a local docker-based or QEMU-based kubernetes cluster

talosctl cluster create [flags]

Options

      --arch string                              cluster architecture (default "amd64")
      --bad-rtc                                  launch VM with bad RTC state (QEMU only)
      --cidr string                              CIDR of the cluster network (IPv4, ULA network for IPv6 is derived in automated way) (default "10.5.0.0/24")
      --cni-bin-path strings                     search path for CNI binaries (VM only) (default [/home/user/.talos/cni/bin])
      --cni-bundle-url string                    URL to download CNI bundle from (VM only) (default "https://github.com/siderolabs/talos/releases/download/v1.2.0-alpha.2/talosctl-cni-bundle-${ARCH}.tar.gz")
      --cni-cache-dir string                     CNI cache directory path (VM only) (default "/home/user/.talos/cni/cache")
      --cni-conf-dir string                      CNI config directory path (VM only) (default "/home/user/.talos/cni/conf.d")
      --config-patch stringArray                 patch generated machineconfigs (applied to all node types), use @file to read a patch from file
      --config-patch-control-plane stringArray   patch generated machineconfigs (applied to 'init' and 'controlplane' types)
      --config-patch-worker stringArray          patch generated machineconfigs (applied to 'worker' type)
      --control-plane-port int                   control plane port (load balancer and local API port) (default 6443)
      --controlplanes int                        the number of controlplanes to create (default 1)
      --cpus string                              the share of CPUs as fraction (each control plane/VM) (default "2.0")
      --cpus-workers string                      the share of CPUs as fraction (each worker/VM) (default "2.0")
      --crashdump                                print debug crashdump to stderr when cluster startup fails
      --custom-cni-url string                    install custom CNI from the URL (Talos cluster)
      --disable-dhcp-hostname                    skip announcing hostname via DHCP (QEMU only)
      --disk int                                 default limit on disk size in MB (each VM) (default 6144)
      --disk-image-path string                   disk image to use
      --dns-domain string                        the dns domain to use for cluster (default "cluster.local")
      --docker-disable-ipv6                      skip enabling IPv6 in containers (Docker only)
      --docker-host-ip string                    Host IP to forward exposed ports to (Docker provisioner only) (default "0.0.0.0")
      --encrypt-ephemeral                        enable ephemeral partition encryption
      --encrypt-state                            enable state partition encryption
      --endpoint string                          use endpoint instead of provider defaults
  -p, --exposed-ports string                     Comma-separated list of ports/protocols to expose on init node. Ex -p <hostPort>:<containerPort>/<protocol (tcp or udp)> (Docker provisioner only)
      --extra-boot-kernel-args string            add extra kernel args to the initial boot from vmlinuz and initramfs (QEMU only)
      --extra-disks int                          number of extra disks to create for each worker VM
      --extra-disks-size int                     default limit on disk size in MB (each VM) (default 5120)
      --extra-uefi-search-paths strings          additional search paths for UEFI firmware (only applies when UEFI is enabled)
  -h, --help                                     help for create
      --image string                             the image to use (default "ghcr.io/siderolabs/talos:latest")
      --init-node-as-endpoint                    use init node as endpoint instead of any load balancer endpoint
      --initrd-path string                       initramfs image to use (default "_out/initramfs-${ARCH}.xz")
  -i, --input-dir string                         location of pre-generated config files
      --install-image string                     the installer image to use (default "ghcr.io/siderolabs/installer:latest")
      --ipv4                                     enable IPv4 network in the cluster (default true)
      --ipv6                                     enable IPv6 network in the cluster (QEMU provisioner only)
      --iso-path string                          the ISO path to use for the initial boot (VM only)
      --kubernetes-version string                desired kubernetes version to run (default "1.25.0")
      --memory int                               the limit on memory usage in MB (each control plane/VM) (default 2048)
      --memory-workers int                       the limit on memory usage in MB (each worker/VM) (default 2048)
      --mtu int                                  MTU of the cluster network (default 1500)
      --nameservers strings                      list of nameservers to use (default [8.8.8.8,1.1.1.1,2001:4860:4860::8888,2606:4700:4700::1111])
      --registry-insecure-skip-verify strings    list of registry hostnames to skip TLS verification for
      --registry-mirror strings                  list of registry mirrors to use in format: <registry host>=<mirror URL>
      --skip-injecting-config                    skip injecting config from embedded metadata server, write config files to current directory
      --skip-kubeconfig                          skip merging kubeconfig from the created cluster
      --talos-version string                     the desired Talos version to generate config for (if not set, defaults to image version)
      --use-vip                                  use a virtual IP for the controlplane endpoint instead of the loadbalancer
      --user-disk strings                        list of disks to create for each VM in format: <mount_point1>:<size1>:<mount_point2>:<size2>
      --vmlinuz-path string                      the compressed kernel image to use (default "_out/vmlinuz-${ARCH}")
      --wait                                     wait for the cluster to be ready before returning (default true)
      --wait-timeout duration                    timeout to wait for the cluster to be ready (default 20m0s)
      --wireguard-cidr string                    CIDR of the wireguard network
      --with-apply-config                        enable apply config when the VM is starting in maintenance mode
      --with-bootloader                          enable bootloader to load kernel and initramfs from disk image after install (default true)
      --with-cluster-discovery                   enable cluster discovery (default true)
      --with-debug                               enable debug in Talos config to send service logs to the console
      --with-init-node                           create the cluster with an init node
      --with-kubespan                            enable KubeSpan system
      --with-uefi                                enable UEFI on x86_64 architecture (default true)
      --workers int                              the number of workers to create (default 1)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
      --name string          the name of the cluster (default "talos-default")
  -n, --nodes strings        target the specified nodes
      --provisioner string   Talos cluster provisioner to use (default "docker")
      --state string         directory path to store cluster state (default "/home/user/.talos/clusters")
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl cluster - A collection of commands for managing local docker-based or QEMU-based clusters

talosctl cluster destroy

Destroys a local docker-based or firecracker-based kubernetes cluster

talosctl cluster destroy [flags]

Options

  -h, --help   help for destroy

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
      --name string          the name of the cluster (default "talos-default")
  -n, --nodes strings        target the specified nodes
      --provisioner string   Talos cluster provisioner to use (default "docker")
      --state string         directory path to store cluster state (default "/home/user/.talos/clusters")
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl cluster - A collection of commands for managing local docker-based or QEMU-based clusters

talosctl cluster show

Shows info about a local provisioned kubernetes cluster

talosctl cluster show [flags]

Options

  -h, --help   help for show

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
      --name string          the name of the cluster (default "talos-default")
  -n, --nodes strings        target the specified nodes
      --provisioner string   Talos cluster provisioner to use (default "docker")
      --state string         directory path to store cluster state (default "/home/user/.talos/clusters")
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl cluster - A collection of commands for managing local docker-based or QEMU-based clusters

talosctl cluster

A collection of commands for managing local docker-based or QEMU-based clusters

Options

  -h, --help                 help for cluster
      --name string          the name of the cluster (default "talos-default")
      --provisioner string   Talos cluster provisioner to use (default "docker")
      --state string         directory path to store cluster state (default "/home/user/.talos/clusters")

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl completion

Output shell completion code for the specified shell (bash, fish or zsh)

Synopsis

Output shell completion code for the specified shell (bash, fish or zsh). The shell code must be evaluated to provide interactive completion of talosctl commands. This can be done by sourcing it from the .bash_profile.

Note for zsh users: [1] zsh completions are only supported in versions of zsh >= 5.2

talosctl completion SHELL [flags]

Examples

# Installing bash completion on macOS using homebrew
## If running Bash 3.2 included with macOS
	brew install bash-completion
## or, if running Bash 4.1+
	brew install bash-completion@2
## If talosctl is installed via homebrew, this should start working immediately.
## If you've installed via other means, you may need add the completion to your completion directory
	talosctl completion bash > $(brew --prefix)/etc/bash_completion.d/talosctl

# Installing bash completion on Linux
## If bash-completion is not installed on Linux, please install the 'bash-completion' package
## via your distribution's package manager.
## Load the talosctl completion code for bash into the current shell
	source <(talosctl completion bash)
## Write bash completion code to a file and source if from .bash_profile
	talosctl completion bash > ~/.talos/completion.bash.inc
	printf "
		# talosctl shell completion
		source '$HOME/.talos/completion.bash.inc'
		" >> $HOME/.bash_profile
	source $HOME/.bash_profile
# Load the talosctl completion code for fish[1] into the current shell
	talosctl completion fish | source
# Set the talosctl completion code for fish[1] to autoload on startup
    talosctl completion fish > ~/.config/fish/completions/talosctl.fish
# Load the talosctl completion code for zsh[1] into the current shell
	source <(talosctl completion zsh)
# Set the talosctl completion code for zsh[1] to autoload on startup
    talosctl completion zsh > "${fpath[1]}/_talosctl"

Options

  -h, --help   help for completion

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl config add

Add a new context

talosctl config add <context> [flags]

Options

      --ca string    the path to the CA certificate
      --crt string   the path to the certificate
  -h, --help         help for add
      --key string   the path to the key

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config context

Set the current context

talosctl config context <context> [flags]

Options

  -h, --help   help for context

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config contexts

List defined contexts

talosctl config contexts [flags]

Options

  -h, --help   help for contexts

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config endpoint

Set the endpoint(s) for the current context

talosctl config endpoint <endpoint>... [flags]

Options

  -h, --help   help for endpoint

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config info

Show information about the current context

talosctl config info [flags]

Options

  -h, --help   help for info

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config merge

Merge additional contexts from another client configuration file

Synopsis

Contexts with the same name are renamed while merging configs.

talosctl config merge <from> [flags]

Options

  -h, --help   help for merge

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config new

Generate a new client configuration file

talosctl config new [<path>] [flags]

Options

      --crt-ttl duration   certificate TTL (default 87600h0m0s)
  -h, --help               help for new
      --roles strings      roles (default [os:admin])

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config node

Set the node(s) for the current context

talosctl config node <endpoint>... [flags]

Options

  -h, --help   help for node

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl config

Manage the client configuration file (talosconfig)

Options

  -h, --help   help for config

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl conformance kubernetes

Run Kubernetes conformance tests

talosctl conformance kubernetes [flags]

Options

  -h, --help          help for kubernetes
      --mode string   conformance test mode: [fast, certified] (default "fast")

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl conformance

Run conformance tests

Options

  -h, --help   help for conformance

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl containers

List containers

talosctl containers [flags]

Options

  -h, --help         help for containers
  -k, --kubernetes   use the k8s.io containerd namespace

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl copy

Copy data out from the node

Synopsis

Creates an .tar.gz archive at the node starting at and streams it back to the client.

If ‘-’ is given for , archive is written to stdout. Otherwise archive is extracted to which should be an empty directory or talosctl creates a directory if doesn’t exist. Command doesn’t preserve ownership and access mode for the files in extract mode, while streamed .tar archive captures ownership and permission bits.

talosctl copy <src-path> -|<local-path> [flags]

Options

  -h, --help   help for copy

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl dashboard

Cluster dashboard with real-time metrics

Synopsis

Provide quick UI to navigate through node real-time metrics.

Keyboard shortcuts:

  • h, : switch one node to the left
  • l, : switch one node to the right
  • j, : scroll process list down
  • k, : scroll process list up
  • : scroll process list half page down
  • : scroll process list half page up
  • : scroll process list one page down
  • : scroll process list one page up
talosctl dashboard [flags]

Options

  -h, --help                       help for dashboard
  -d, --update-interval duration   interval between updates (default 3s)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl disks

Get the list of disks from /sys/block on the machine

talosctl disks [flags]

Options

  -h, --help       help for disks
  -i, --insecure   get disks using the insecure (encrypted with no auth) maintenance service

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl dmesg

Retrieve kernel logs

talosctl dmesg [flags]

Options

  -f, --follow   specify if the kernel log should be streamed
  -h, --help     help for dmesg
      --tail     specify if only new messages should be sent (makes sense only when combined with --follow)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl edit

Edit a resource from the default editor.

Synopsis

The edit command allows you to directly edit any API resource you can retrieve via the command line tools.

It will open the editor defined by your TALOS_EDITOR, or EDITOR environment variables, or fall back to ‘vi’ for Linux or ’notepad’ for Windows.

talosctl edit <type> [<id>] [flags]

Options

      --dry-run                                     do not apply the change after editing and print the change summary instead
  -h, --help                                        help for edit
  -m, --mode auto, no-reboot, reboot, staged, try   apply config mode (default auto)
      --namespace string                            resource namespace (default is to use default namespace per resource)
      --timeout duration                            the config will be rolled back after specified timeout (if try mode is selected) (default 1m0s)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl etcd forfeit-leadership

Tell node to forfeit etcd cluster leadership

talosctl etcd forfeit-leadership [flags]

Options

  -h, --help   help for forfeit-leadership

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl etcd leave

Tell nodes to leave etcd cluster

talosctl etcd leave [flags]

Options

  -h, --help   help for leave

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl etcd members

Get the list of etcd cluster members

talosctl etcd members [flags]

Options

  -h, --help   help for members

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl etcd remove-member

Remove the node from etcd cluster

Synopsis

Use this command only if you want to remove a member which is in broken state. If there is no access to the node, or the node can’t access etcd to call etcd leave. Always prefer etcd leave over this command.

talosctl etcd remove-member <hostname> [flags]

Options

  -h, --help   help for remove-member

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl etcd snapshot

Stream snapshot of the etcd node to the path.

talosctl etcd snapshot <path> [flags]

Options

  -h, --help   help for snapshot

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl etcd

Manage etcd

Options

  -h, --help   help for etcd

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl events

Stream runtime events

talosctl events [flags]

Options

      --actor-id string     filter events by the specified actor ID (default is no filter)
      --duration duration   show events for the past duration interval (one second resolution, default is to show no history)
  -h, --help                help for events
      --since string        show events after the specified event ID (default is to show no history)
      --tail int32          show specified number of past events (use -1 to show full history, default is to show no history)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl gen ca

Generates a self-signed X.509 certificate authority

talosctl gen ca [flags]

Options

  -h, --help                  help for ca
      --hours int             the hours from now on which the certificate validity period ends (default 87600)
      --organization string   X.509 distinguished name for the Organization
      --rsa                   generate in RSA format

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl gen config

Generates a set of configuration files for Talos cluster

Synopsis

The cluster endpoint is the URL for the Kubernetes API. If you decide to use a control plane node, common in a single node control plane setup, use port 6443 as this is the port that the API server binds to on every control plane node. For an HA setup, usually involving a load balancer, use the IP and port of the load balancer.

talosctl gen config <cluster name> <cluster endpoint> [flags]

Options

      --additional-sans strings                  additional Subject-Alt-Names for the APIServer certificate
      --config-patch stringArray                 patch generated machineconfigs (applied to all node types), use @file to read a patch from file
      --config-patch-control-plane stringArray   patch generated machineconfigs (applied to 'init' and 'controlplane' types)
      --config-patch-worker stringArray          patch generated machineconfigs (applied to 'worker' type)
      --dns-domain string                        the dns domain to use for cluster (default "cluster.local")
  -h, --help                                     help for config
      --install-disk string                      the disk to install to (default "/dev/sda")
      --install-image string                     the image used to perform an installation (default "ghcr.io/siderolabs/installer:latest")
      --kubernetes-version string                desired kubernetes version to run (default "1.25.0")
  -o, --output-dir string                        destination to output generated files
  -p, --persist                                  the desired persist value for configs (default true)
      --registry-mirror strings                  list of registry mirrors to use in format: <registry host>=<mirror URL>
      --talos-version string                     the desired Talos version to generate config for (backwards compatibility, e.g. v0.8)
      --version string                           the desired machine config version to generate (default "v1alpha1")
      --with-cluster-discovery                   enable cluster discovery feature (default true)
      --with-docs                                renders all machine configs adding the documentation for each field (default true)
      --with-examples                            renders all machine configs with the commented examples (default true)
      --with-kubespan                            enable KubeSpan feature
      --with-secrets string                      use a secrets file generated using 'gen secrets'

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl gen crt

Generates an X.509 Ed25519 certificate

talosctl gen crt [flags]

Options

      --ca string     path to the PEM encoded CERTIFICATE
      --csr string    path to the PEM encoded CERTIFICATE REQUEST
  -h, --help          help for crt
      --hours int     the hours from now on which the certificate validity period ends (default 24)
      --name string   the basename of the generated file

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl gen csr

Generates a CSR using an Ed25519 private key

talosctl gen csr [flags]

Options

  -h, --help            help for csr
      --ip string       generate the certificate for this IP address
      --key string      path to the PEM encoded EC or RSA PRIVATE KEY
      --roles strings   roles (default [os:admin])

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl gen key

Generates an Ed25519 private key

talosctl gen key [flags]

Options

  -h, --help          help for key
      --name string   the basename of the generated file

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl gen keypair

Generates an X.509 Ed25519 key pair

talosctl gen keypair [flags]

Options

  -h, --help                  help for keypair
      --ip string             generate the certificate for this IP address
      --organization string   X.509 distinguished name for the Organization

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl gen secrets

Generates a secrets bundle file which can later be used to generate a config

talosctl gen secrets [flags]

Options

  -p, --from-kubernetes-pki string          use a Kubernetes PKI directory (e.g. /etc/kubernetes/pki) as input
  -h, --help                                help for secrets
  -t, --kubernetes-bootstrap-token string   use the provided bootstrap token as input
  -o, --output-file string                  path of the output file (default "secrets.yaml")
      --talos-version string                the desired Talos version to generate secrets bundle for (backwards compatibility, e.g. v0.8)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl gen

Generate CAs, certificates, and private keys

Options

  -h, --help   help for gen

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl get

Get a specific resource or list of resources.

Synopsis

Similar to ‘kubectl get’, ’talosctl get’ returns a set of resources from the OS. To get a list of all available resource definitions, issue ’talosctl get rd’

talosctl get <type> [<id>] [flags]

Options

  -h, --help               help for get
  -i, --insecure           get resources using the insecure (encrypted with no auth) maintenance service
      --namespace string   resource namespace (default is to use default namespace per resource)
  -o, --output string      output mode (json, table, yaml) (default "table")
  -w, --watch              watch resource changes

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl health

Check cluster health

talosctl health [flags]

Options

      --control-plane-nodes strings   specify IPs of control plane nodes
  -h, --help                          help for health
      --init-node string              specify IPs of init node
      --k8s-endpoint string           use endpoint instead of kubeconfig default
      --run-e2e                       run Kubernetes e2e test
      --server                        run server-side check (default true)
      --wait-timeout duration         timeout to wait for the cluster to be ready (default 20m0s)
      --worker-nodes strings          specify IPs of worker nodes

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl images

List the default images used by Talos

talosctl images [flags]

Options

  -h, --help   help for images

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl inject serviceaccount

Inject Talos API ServiceAccount into Kubernetes manifests

talosctl inject serviceaccount [--roles='<ROLE_1>,<ROLE_2>'] -f <manifest.yaml> [flags]

Examples

talosctl inject serviceaccount --roles="os:admin" -f deployment.yaml > deployment-injected.yaml

Alternatively, stdin can be piped to the command:
cat deployment.yaml | talosctl inject serviceaccount --roles="os:admin" -f - > deployment-injected.yaml

Options

  -f, --file string     file with Kubernetes manifests to be injected with ServiceAccount
  -h, --help            help for serviceaccount
  -r, --roles strings   roles to add to the generated ServiceAccount manifests (default [os:reader])

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl inject

Inject Talos API resources into Kubernetes manifests

Options

  -h, --help   help for inject

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl inspect dependencies

Inspect controller-resource dependencies as graphviz graph.

Synopsis

Inspect controller-resource dependencies as graphviz graph.

Pipe the output of the command through the “dot” program (part of graphviz package) to render the graph:

talosctl inspect dependencies | dot -Tpng > graph.png

talosctl inspect dependencies [flags]

Options

  -h, --help             help for dependencies
      --with-resources   display live resource information with dependencies

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl inspect

Inspect internals of Talos

Options

  -h, --help   help for inspect

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

talosctl kubeconfig

Download the admin kubeconfig from the node

Synopsis

Download the admin kubeconfig from the node. If merge flag is defined, config will be merged with ~/.kube/config or [local-path] if specified. Otherwise kubeconfig will be written to PWD or [local-path] if specified.

talosctl kubeconfig [local-path] [flags]

Options

  -f, --force                       Force overwrite of kubeconfig if already present, force overwrite on kubeconfig merge
      --force-context-name string   Force context name for kubeconfig merge
  -h, --help                        help for kubeconfig
  -m, --merge                       Merge with existing kubeconfig (default true)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl list

Retrieve a directory listing

talosctl list [path] [flags]

Options

  -d, --depth int32    maximum recursion depth (default 1)
  -h, --help           help for list
  -H, --humanize       humanize size and time in the output
  -l, --long           display additional file details
  -r, --recurse        recurse into subdirectories
  -t, --type strings   filter by specified types:
                       f	regular file
                       d	directory
                       l, L	symbolic link

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl logs

Retrieve logs for a service

talosctl logs <service name> [flags]

Options

  -f, --follow       specify if the logs should be streamed
  -h, --help         help for logs
  -k, --kubernetes   use the k8s.io containerd namespace
      --tail int32   lines of log file to display (default is to show from the beginning) (default -1)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl memory

Show memory usage

talosctl memory [flags]

Options

  -h, --help      help for memory
  -v, --verbose   display extended memory statistics

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl mounts

List mounts

talosctl mounts [flags]

Options

  -h, --help   help for mounts

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl patch

Update field(s) of a resource using a JSON patch.

talosctl patch <type> [<id>] [flags]

Options

      --dry-run                                     print the change summary and patch preview without applying the changes
  -h, --help                                        help for patch
  -m, --mode auto, no-reboot, reboot, staged, try   apply config mode (default auto)
      --namespace string                            resource namespace (default is to use default namespace per resource)
  -p, --patch stringArray                           the patch to be applied to the resource file, use @file to read a patch from file.
      --patch-file string                           a file containing a patch to be applied to the resource.
      --timeout duration                            the config will be rolled back after specified timeout (if try mode is selected) (default 1m0s)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl pcap

Capture the network packets from the node.

Synopsis

The command launches packet capture on the node and streams back the packets as raw pcap file.

Default behavior is to decode the packets with internal decoder to stdout:

talosctl pcap -i eth0

Raw pcap file can be saved with –output flag:

talosctl pcap -i eth0 –output eth0.pcap

Output can be piped to tcpdump:

talosctl pcap -i eth0 -o - | tcpdump -vvv -r -

BPF filter can be applied, but it has to compiled to BPF instructions first using tcpdump. Correct link type should be specified for the tcpdump: EN10MB for Ethernet links and RAW for e.g. Wireguard tunnels:

talosctl pcap -i eth0 –bpf-filter “$(tcpdump -dd -y EN10MB ’tcp and dst port 80’)”

talosctl pcap -i kubespan –bpf-filter “$(tcpdump -dd -y RAW ‘port 50000’)”

As packet capture is transmitted over the network, it is recommended to filter out the Talos API traffic, e.g. by excluding packets with the port 50000.

talosctl pcap [flags]

Options

      --bpf-filter string   bpf filter to apply, tcpdump -dd format
      --duration duration   duration of the capture
  -h, --help                help for pcap
  -i, --interface string    interface name to capture packets on (default "eth0")
  -o, --output string       if not set, decode packets to stdout; if set write raw pcap data to a file, use '-' for stdout
      --promiscuous         put interface into promiscuous mode
  -s, --snaplen int         maximum packet size to capture (default 65536)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl processes

List running processes

talosctl processes [flags]

Options

  -h, --help          help for processes
  -s, --sort string   Column to sort output by. [rss|cpu] (default "rss")
  -w, --watch         Stream running processes

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl read

Read a file on the machine

talosctl read <path> [flags]

Options

  -h, --help   help for read

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl reboot

Reboot a node

talosctl reboot [flags]

Options

      --debug         debug operation from kernel logs. --no-wait is set to false when this flag is set
  -h, --help          help for reboot
  -m, --mode string   select the reboot mode: "default", "powercycle" (skips kexec) (default "default")
      --wait          wait for the operation to complete, tracking its progress. always set to true when --debug is set

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl reset

Reset a node

talosctl reset [flags]

Options

      --debug                           debug operation from kernel logs. --no-wait is set to false when this flag is set
      --graceful                        if true, attempt to cordon/drain node and leave etcd (if applicable) (default true)
  -h, --help                            help for reset
      --reboot                          if true, reboot the node after resetting instead of shutting down
      --system-labels-to-wipe strings   if set, just wipe selected system disk partitions by label but keep other partitions intact
      --wait                            wait for the operation to complete, tracking its progress. always set to true when --debug is set

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl restart

Restart a process

talosctl restart <id> [flags]

Options

  -h, --help         help for restart
  -k, --kubernetes   use the k8s.io containerd namespace

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl rollback

Rollback a node to the previous installation

talosctl rollback [flags]

Options

  -h, --help   help for rollback

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl service

Retrieve the state of a service (or all services), control service state

Synopsis

Service control command. If run without arguments, lists all the services and their state. If service ID is specified, default action ‘status’ is executed which shows status of a single list service. With actions ‘start’, ‘stop’, ‘restart’, service state is updated respectively.

talosctl service [<id> [start|stop|restart|status]] [flags]

Options

  -h, --help   help for service

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl shutdown

Shutdown a node

talosctl shutdown [flags]

Options

      --debug   debug operation from kernel logs. --no-wait is set to false when this flag is set
      --force   if true, force a node to shutdown without a cordon/drain
  -h, --help    help for shutdown
      --wait    wait for the operation to complete, tracking its progress. always set to true when --debug is set

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl stats

Get container stats

talosctl stats [flags]

Options

  -h, --help         help for stats
  -k, --kubernetes   use the k8s.io containerd namespace

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl support

Dump debug information about the cluster

Synopsis

Generated bundle contains the following debug information:

  • For each node:

    • Kernel logs.
    • All Talos internal services logs.
    • All kube-system pods logs.
    • Talos COSI resources without secrets.
    • COSI runtime state graph.
    • Processes snapshot.
    • IO pressure snapshot.
    • Mounts list.
    • PCI devices info.
    • Talos version.
  • For the cluster:

    • Kubernetes nodes and kube-system pods manifests.
talosctl support [flags]

Options

  -h, --help              help for support
  -w, --num-workers int   number of workers per node (default 1)
  -O, --output string     output file to write support archive to
  -v, --verbose           verbose output

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl time

Gets current server time

talosctl time [--check server] [flags]

Options

  -c, --check string   checks server time against specified ntp server
  -h, --help           help for time

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl upgrade

Upgrade Talos on the target node

talosctl upgrade [flags]

Options

      --debug          debug operation from kernel logs. --no-wait is set to false when this flag is set
  -f, --force          force the upgrade (skip checks on etcd health and members, might lead to data loss)
  -h, --help           help for upgrade
  -i, --image string   the container image to use for performing the install
  -p, --preserve       preserve data
  -s, --stage          stage the upgrade to perform it after a reboot
      --wait           wait for the operation to complete, tracking its progress. always set to true when --debug is set

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl upgrade-k8s

Upgrade Kubernetes control plane in the Talos cluster.

Synopsis

Command runs upgrade of Kubernetes control plane components between specified versions.

talosctl upgrade-k8s [flags]

Options

      --dry-run           skip the actual upgrade and show the upgrade plan instead
      --endpoint string   the cluster control plane endpoint
      --from string       the Kubernetes control plane version to upgrade from
  -h, --help              help for upgrade-k8s
      --to string         the Kubernetes control plane version to upgrade to (default "1.25.0")
      --upgrade-kubelet   upgrade kubelet service (default true)

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl usage

Retrieve a disk usage

talosctl usage [path1] [path2] ... [pathN] [flags]

Options

  -a, --all             write counts for all files, not just directories
  -d, --depth int32     maximum recursion depth
  -h, --help            help for usage
  -H, --humanize        humanize size and time in the output
  -t, --threshold int   threshold exclude entries smaller than SIZE if positive, or entries greater than SIZE if negative

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl validate

Validate config

talosctl validate [flags]

Options

  -c, --config string   the path of the config file
  -h, --help            help for validate
  -m, --mode string     the mode to validate the config for (valid values are metal, cloud, and container)
      --strict          treat validation warnings as errors

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl version

Prints the version

talosctl version [flags]

Options

      --client     Print client version only
  -h, --help       help for version
  -i, --insecure   use Talos maintenance mode API
      --short      Print the short version

Options inherited from parent commands

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

  • talosctl - A CLI for out-of-band management of Kubernetes nodes created by Talos

talosctl

A CLI for out-of-band management of Kubernetes nodes created by Talos

Options

      --cluster string       Cluster to connect to if a proxy endpoint is used.
      --context string       Context to be used in command
  -e, --endpoints strings    override default endpoints in Talos configuration
  -h, --help                 help for talosctl
  -n, --nodes strings        target the specified nodes
      --talosconfig string   The path to the Talos configuration file. Defaults to 'TALOSCONFIG' env variable if set, otherwise '$HOME/.talos/config' and '/var/run/secrets/talos.dev/config' in order.

SEE ALSO

5.3 - Configuration

Package v1alpha1 configuration file contains all the options available for configuring a machine.

To generate a set of basic configuration files, run:

talosctl gen config --version v1alpha1 <cluster name> <cluster endpoint>

This will generate a machine config for each node type, and a talosconfig for the CLI.


Config

Config defines the v1alpha1 configuration file.

version: v1alpha1
persist: true
machine: # ...
cluster: # ...
FieldTypeDescriptionValue(s)
versionstringIndicates the schema used to decode the contents.v1alpha1
debugbool
Enable verbose logging to the console.All system containers logs will flow into serial console.

Note: To avoid breaking Talos bootstrap flow enable this option only if serial console can handle high message throughput.
true
yes
false
no
persistboolIndicates whether to pull the machine config upon every boot.true
yes
false
no
machineMachineConfigProvides machine specific configuration options.
clusterClusterConfigProvides cluster specific configuration options.

MachineConfig

MachineConfig represents the machine-specific config values.

Appears in:

type: controlplane
# InstallConfig represents the installation options for preparing a node.
install:
    disk: /dev/sda # The disk used for installations.
    # Allows for supplying extra kernel args via the bootloader.
    extraKernelArgs:
        - console=ttyS1
        - panic=10
    image: ghcr.io/siderolabs/installer:latest # Allows for supplying the image used to perform the installation.
    bootloader: true # Indicates if a bootloader should be installed.
    wipe: false # Indicates if the installation disk should be wiped at installation time.

    # # Look up disk using disk attributes like model, size, serial and others.
    # diskSelector:
    #     size: 4GB # Disk size.
    #     model: WDC* # Disk model `/sys/block/<dev>/device/model`.
    #     busPath: /pci0000:00/0000:00:17.0/ata1/host0/target0:0:0/0:0:0:0 # Disk bus path.

    # # Allows for supplying additional system extension images to install on top of base Talos image.
    # extensions:
    #     - image: ghcr.io/siderolabs/gvisor:20220117.0-v1.0.0 # System extension image.
FieldTypeDescriptionValue(s)
typestring
Defines the role of the machine within the cluster.
Control Plane

Control Plane node type designates the node as a control plane member.
This means it will host etcd along with the Kubernetes controlplane components such as API Server, Controller Manager, Scheduler.

Worker

Worker node type designates the node as a worker node.
This means it will be an available compute node for scheduling workloads.

This node type was previously known as “join”; that value is still supported but deprecated.
controlplane
worker
tokenstring
The token is used by a machine to join the PKI of the cluster.Using this token, a machine will create a certificate signing request (CSR), and request a certificate that will be used as its’ identity.
Show example(s)
token: 328hom.uqjzh6jnn2eie9oi
caPEMEncodedCertificateAndKey
The root certificate authority of the PKI.It is composed of a base64 encoded crt and key.
Show example(s)
ca:
    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
certSANs[]string
Extra certificate subject alternative names for the machine’s certificate.By default, all non-loopback interface IPs are automatically added to the certificate’s SANs.
Show example(s)
certSANs:
    - 10.0.0.10
    - 172.16.0.10
    - 192.168.0.10
controlPlaneMachineControlPlaneConfigProvides machine specific control plane configuration options.
Show example(s)
controlPlane:
    # Controller manager machine specific configuration options.
    controllerManager:
        disabled: false # Disable kube-controller-manager on the node.
    # Scheduler machine specific configuration options.
    scheduler:
        disabled: true # Disable kube-scheduler on the node.
kubeletKubeletConfigUsed to provide additional options to the kubelet.
Show example(s)
kubelet:
    image: ghcr.io/siderolabs/kubelet:v1.25.0 # The `image` field is an optional reference to an alternative kubelet image.
    # The `extraArgs` field is used to provide additional flags to the kubelet.
    extraArgs:
        feature-gates: ServerSideApply=true

    # # The `ClusterDNS` field is an optional reference to an alternative kubelet clusterDNS ip list.
    # clusterDNS:
    #     - 10.96.0.10
    #     - 169.254.2.53

    # # The `extraMounts` field is used to add additional mounts to the kubelet container.
    # extraMounts:
    #     - destination: /var/lib/example
    #       type: bind
    #       source: /var/lib/example
    #       options:
    #         - bind
    #         - rshared
    #         - rw

    # # The `extraConfig` field is used to provide kubelet configuration overrides.
    # extraConfig:
    #     serverTLSBootstrap: true

    # # The `nodeIP` field is used to configure `--node-ip` flag for the kubelet.
    # nodeIP:
    #     # The `validSubnets` field configures the networks to pick kubelet node IP from.
    #     validSubnets:
    #         - 10.0.0.0/8
    #         - '!10.0.0.3/32'
    #         - fdc7::/16
pods[]Unstructured
Used to provide static pod definitions to be run by the kubelet directly bypassing the kube-apiserver.
Static pods can be used to run components which should be started before the Kubernetes control plane is up.
Talos doesn’t validate the pod definition.
Updates to this field can be applied without a reboot.

See https://kubernetes.io/docs/tasks/configure-pod-container/static-pod/.
Show example(s)
pods:
    - apiVersion: v1
      kind: pod
      metadata:
        name: nginx
      spec:
        containers:
            - image: nginx
              name: nginx
networkNetworkConfigProvides machine specific network configuration options.
Show example(s)
network:
    hostname: worker-1 # Used to statically set the hostname for the machine.
    # `interfaces` is used to define the network interface configuration.
    interfaces:
        - interface: eth0 # The interface name.
          # Assigns static IP addresses to the interface.
          addresses:
            - 192.168.2.0/24
          # A list of routes associated with the interface.
          routes:
            - network: 0.0.0.0/0 # The route's network (destination).
              gateway: 192.168.2.1 # The route's gateway (if empty, creates link scope route).
              metric: 1024 # The optional metric for the route.
          mtu: 1500 # The interface's MTU.

          # # Picks a network device using the selector.

          # # select a device with bus prefix 00:*.
          # deviceSelector:
          #     busPath: 00:* # PCI, USB bus prefix, supports matching by wildcard.
          # # select a device with mac address matching `*:f0:ab` and `virtio` kernel driver.
          # deviceSelector:
          #     hardwareAddr: '*:f0:ab' # Device hardware address, supports matching by wildcard.
          #     driver: virtio # Kernel driver, supports matching by wildcard.

          # # Bond specific options.
          # bond:
          #     # The interfaces that make up the bond.
          #     interfaces:
          #         - eth0
          #         - eth1
          #     mode: 802.3ad # A bond option.
          #     lacpRate: fast # A bond option.

          # # Bridge specific options.
          # bridge:
          #     # The interfaces that make up the bridge.
          #     interfaces:
          #         - eth0
          #         - eth1
          #     # A bridge option.
          #     stp:
          #         enabled: true # Whether Spanning Tree Protocol (STP) is enabled.

          # # Indicates if DHCP should be used to configure the interface.
          # dhcp: true

          # # DHCP specific options.
          # dhcpOptions:
          #     routeMetric: 1024 # The priority of all routes received via DHCP.

          # # Wireguard specific configuration.

          # # wireguard server example
          # wireguard:
          #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
          #     listenPort: 51111 # Specifies a device's listening port.
          #     # Specifies a list of peer configurations to apply to a device.
          #     peers:
          #         - publicKey: ABCDEF... # Specifies the public key of this peer.
          #           endpoint: 192.168.1.3 # Specifies the endpoint of this peer entry.
          #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
          #           allowedIPs:
          #             - 192.168.1.0/24
          # # wireguard peer example
          # wireguard:
          #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
          #     # Specifies a list of peer configurations to apply to a device.
          #     peers:
          #         - publicKey: ABCDEF... # Specifies the public key of this peer.
          #           endpoint: 192.168.1.2 # Specifies the endpoint of this peer entry.
          #           persistentKeepaliveInterval: 10s # Specifies the persistent keepalive interval for this peer.
          #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
          #           allowedIPs:
          #             - 192.168.1.0/24

          # # Virtual (shared) IP address configuration.

          # # layer2 vip example
          # vip:
          #     ip: 172.16.199.55 # Specifies the IP address to be used.
    # Used to statically set the nameservers for the machine.
    nameservers:
        - 9.8.7.6
        - 8.7.6.5

    # # Allows for extra entries to be added to the `/etc/hosts` file
    # extraHostEntries:
    #     - ip: 192.168.1.100 # The IP of the host.
    #       # The host alias.
    #       aliases:
    #         - example
    #         - example.domain.tld

    # # Configures KubeSpan feature.
    # kubespan:
    #     enabled: true # Enable the KubeSpan feature.
disks[]MachineDisk
Used to partition, format and mount additional disks.Since the rootfs is read only with the exception of /var, mounts are only valid if they are under /var.
Note that the partitioning and formating is done only once, if and only if no existing partitions are found.
If size: is omitted, the partition is sized to occupy the full disk.
Show example(s)
disks:
    - device: /dev/sdb # The name of the disk to use.
      # A list of partitions to create on the disk.
      partitions:
        - mountpoint: /var/mnt/extra # Where to mount the partition.

          # # The size of partition: either bytes or human readable representation. If `size:` is omitted, the partition is sized to occupy the full disk.

          # # Human readable representation.
          # size: 100 MB
          # # Precise value in bytes.
          # size: 1073741824
installInstallConfigUsed to provide instructions for installations.
Show example(s)
install:
    disk: /dev/sda # The disk used for installations.
    # Allows for supplying extra kernel args via the bootloader.
    extraKernelArgs:
        - console=ttyS1
        - panic=10
    image: ghcr.io/siderolabs/installer:latest # Allows for supplying the image used to perform the installation.
    bootloader: true # Indicates if a bootloader should be installed.
    wipe: false # Indicates if the installation disk should be wiped at installation time.

    # # Look up disk using disk attributes like model, size, serial and others.
    # diskSelector:
    #     size: 4GB # Disk size.
    #     model: WDC* # Disk model `/sys/block/<dev>/device/model`.
    #     busPath: /pci0000:00/0000:00:17.0/ata1/host0/target0:0:0/0:0:0:0 # Disk bus path.

    # # Allows for supplying additional system extension images to install on top of base Talos image.
    # extensions:
    #     - image: ghcr.io/siderolabs/gvisor:20220117.0-v1.0.0 # System extension image.
files[]MachineFile
Allows the addition of user specified files.The value of op can be create, overwrite, or append.
In the case of create, path must not exist.
In the case of overwrite, and append, path must be a valid file.
If an op value of append is used, the existing file will be appended.
Note that the file contents are not required to be base64 encoded.
Show example(s)
files:
    - content: '...' # The contents of the file.
      permissions: 0o666 # The file's permissions in octal.
      path: /tmp/file.txt # The path of the file.
      op: append # The operation to use
envEnv
The env field allows for the addition of environment variables.All environment variables are set on PID 1 in addition to every service.
Show example(s)
env:
    GRPC_GO_LOG_SEVERITY_LEVEL: info
    GRPC_GO_LOG_VERBOSITY_LEVEL: "99"
    https_proxy: http://SERVER:PORT/
env:
    GRPC_GO_LOG_SEVERITY_LEVEL: error
    https_proxy: https://USERNAME:PASSWORD@SERVER:PORT/
env:
    https_proxy: http://DOMAIN\USERNAME:PASSWORD@SERVER:PORT/
GRPC_GO_LOG_VERBOSITY_LEVEL
GRPC_GO_LOG_SEVERITY_LEVEL
http_proxy
https_proxy
no_proxy
timeTimeConfigUsed to configure the machine’s time settings.
Show example(s)
time:
    disabled: false # Indicates if the time service is disabled for the machine.
    # Specifies time (NTP) servers to use for setting the system time.
    servers:
        - time.cloudflare.com
    bootTimeout: 2m0s # Specifies the timeout when the node time is considered to be in sync unlocking the boot sequence.
sysctlsmap[string]stringUsed to configure the machine’s sysctls.
Show example(s)
sysctls:
    kernel.domainname: talos.dev
    net.ipv4.ip_forward: "0"
sysfsmap[string]stringUsed to configure the machine’s sysfs.
Show example(s)
sysfs:
    devices.system.cpu.cpu0.cpufreq.scaling_governor: performance
registriesRegistriesConfig
Used to configure the machine’s container image registry mirrors.
Automatically generates matching CRI configuration for registry mirrors.

The mirrors section allows to redirect requests for images to non-default registry,
which might be local registry or caching mirror.

The config section provides a way to authenticate to the registry with TLS client
identity, provide registry CA, or authentication information.
Authentication information has same meaning with the corresponding field in .docker/config.json.

See also matching configuration for CRI containerd plugin.
Show example(s)
registries:
    # Specifies mirror configuration for each registry.
    mirrors:
        docker.io:
            # List of endpoints (URLs) for registry mirrors to use.
            endpoints:
                - https://registry.local
    # Specifies TLS & auth configuration for HTTPS image registries.
    config:
        registry.local:
            # The TLS configuration for the registry.
            tls:
                # Enable mutual TLS authentication with the registry.
                clientIdentity:
                    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
                    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
            # The auth configuration for this registry.
            auth:
                username: username # Optional registry authentication.
                password: password # Optional registry authentication.
systemDiskEncryptionSystemDiskEncryptionConfig
Machine system disk encryption configuration.Defines each system partition encryption parameters.
Show example(s)
systemDiskEncryption:
    # Ephemeral partition encryption.
    ephemeral:
        provider: luks2 # Encryption provider to use for the encryption.
        # Defines the encryption keys generation and storage method.
        keys:
            - # Deterministically generated key from the node UUID and PartitionLabel.
              nodeID: {}
              slot: 0 # Key slot number for LUKS2 encryption.

        # # Cipher kind to use for the encryption. Depends on the encryption provider.
        # cipher: aes-xts-plain64

        # # Defines the encryption sector size.
        # blockSize: 4096

        # # Additional --perf parameters for the LUKS2 encryption.
        # options:
        #     - no_read_workqueue
        #     - no_write_workqueue
featuresFeaturesConfigFeatures describe individual Talos features that can be switched on or off.
Show example(s)
features:
    rbac: true # Enable role-based access control (RBAC).

    # # Configure Talos API access from Kubernetes pods.
    # kubernetesTalosAPIAccess:
    #     enabled: true # Enable Talos API access from Kubernetes pods.
    #     # The list of Talos API roles which can be granted for access from Kubernetes pods.
    #     allowedRoles:
    #         - os:reader
    #     # The list of Kubernetes namespaces Talos API access is available from.
    #     allowedKubernetesNamespaces:
    #         - kube-system
udevUdevConfigConfigures the udev system.
Show example(s)
udev:
    # List of udev rules to apply to the udev system
    rules:
        - SUBSYSTEM=="drm", KERNEL=="renderD*", GROUP="44", MODE="0660"
loggingLoggingConfigConfigures the logging system.
Show example(s)
logging:
    # Logging destination.
    destinations:
        - endpoint: tcp://1.2.3.4:12345 # Where to send logs. Supported protocols are "tcp" and "udp".
          format: json_lines # Logs format.
kernelKernelConfigConfigures the kernel.
Show example(s)
kernel:
    # Kernel modules to load.
    modules:
        - name: brtfs # Module name.
seccompProfiles[]MachineSeccompProfileConfigures the seccomp profiles for the machine.
Show example(s)
seccompProfiles:
    - name: audit.json # The `name` field is used to provide the file name of the seccomp profile.
      # The `value` field is used to provide the seccomp profile.
      value:
        defaultAction: SCMP_ACT_LOG

MachineSeccompProfile

MachineSeccompProfile defines seccomp profiles for the machine.

Appears in:

- name: audit.json # The `name` field is used to provide the file name of the seccomp profile.
  # The `value` field is used to provide the seccomp profile.
  value:
    defaultAction: SCMP_ACT_LOG
FieldTypeDescriptionValue(s)
namestringThe name field is used to provide the file name of the seccomp profile.
valueUnstructuredThe value field is used to provide the seccomp profile.

ClusterConfig

ClusterConfig represents the cluster-wide config values.

Appears in:

# ControlPlaneConfig represents the control plane configuration options.
controlPlane:
    endpoint: https://1.2.3.4 # Endpoint is the canonical controlplane endpoint, which can be an IP address or a DNS hostname.
    localAPIServerPort: 443 # The port that the API server listens on internally.
clusterName: talos.local
# ClusterNetworkConfig represents kube networking configuration options.
network:
    # The CNI used.
    cni:
        name: flannel # Name of CNI to use.
    dnsDomain: cluster.local # The domain used by Kubernetes DNS.
    # The pod subnet CIDR.
    podSubnets:
        - 10.244.0.0/16
    # The service subnet CIDR.
    serviceSubnets:
        - 10.96.0.0/12
FieldTypeDescriptionValue(s)
idstringGlobally unique identifier for this cluster (base64 encoded random 32 bytes).
secretstring
Shared secret of cluster (base64 encoded random 32 bytes).This secret is shared among cluster members but should never be sent over the network.
controlPlaneControlPlaneConfigProvides control plane specific configuration options.
Show example(s)
controlPlane:
    endpoint: https://1.2.3.4 # Endpoint is the canonical controlplane endpoint, which can be an IP address or a DNS hostname.
    localAPIServerPort: 443 # The port that the API server listens on internally.
clusterNamestringConfigures the cluster’s name.
networkClusterNetworkConfigProvides cluster specific network configuration options.
Show example(s)
network:
    # The CNI used.
    cni:
        name: flannel # Name of CNI to use.
    dnsDomain: cluster.local # The domain used by Kubernetes DNS.
    # The pod subnet CIDR.
    podSubnets:
        - 10.244.0.0/16
    # The service subnet CIDR.
    serviceSubnets:
        - 10.96.0.0/12
tokenstringThe bootstrap token used to join the cluster.
Show example(s)
token: wlzjyw.bei2zfylhs2by0wd
aescbcEncryptionSecretstringThe key used for the encryption of secret data at rest.
Show example(s)
aescbcEncryptionSecret: z01mye6j16bspJYtTB/5SFX8j7Ph4JXxM2Xuu4vsBPM=
caPEMEncodedCertificateAndKeyThe base64 encoded root certificate authority used by Kubernetes.
Show example(s)
ca:
    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
aggregatorCAPEMEncodedCertificateAndKey
The base64 encoded aggregator certificate authority used by Kubernetes for front-proxy certificate generation.
This CA can be self-signed.
Show example(s)
aggregatorCA:
    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
serviceAccountPEMEncodedKeyThe base64 encoded private key for service account token generation.
Show example(s)
serviceAccount:
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
apiServerAPIServerConfigAPI server specific configuration options.
Show example(s)
apiServer:
    image: k8s.gcr.io/kube-apiserver:v1.25.0 # The container image used in the API server manifest.
    # Extra arguments to supply to the API server.
    extraArgs:
        feature-gates: ServerSideApply=true
        http2-max-streams-per-connection: "32"
    # Extra certificate subject alternative names for the API server's certificate.
    certSANs:
        - 1.2.3.4
        - 4.5.6.7

    # # Configure the API server admission plugins.
    # admissionControl:
    #     - name: PodSecurity # Name is the name of the admission controller.
    #       # Configuration is an embedded configuration object to be used as the plugin's
    #       configuration:
    #         apiVersion: pod-security.admission.config.k8s.io/v1alpha1
    #         defaults:
    #             audit: restricted
    #             audit-version: latest
    #             enforce: baseline
    #             enforce-version: latest
    #             warn: restricted
    #             warn-version: latest
    #         exemptions:
    #             namespaces:
    #                 - kube-system
    #             runtimeClasses: []
    #             usernames: []
    #         kind: PodSecurityConfiguration
controllerManagerControllerManagerConfigController manager server specific configuration options.
Show example(s)
controllerManager:
    image: k8s.gcr.io/kube-controller-manager:v1.25.0 # The container image used in the controller manager manifest.
    # Extra arguments to supply to the controller manager.
    extraArgs:
        feature-gates: ServerSideApply=true
proxyProxyConfigKube-proxy server-specific configuration options
Show example(s)
proxy:
    image: k8s.gcr.io/kube-proxy:v1.25.0 # The container image used in the kube-proxy manifest.
    mode: ipvs # proxy mode of kube-proxy.
    # Extra arguments to supply to kube-proxy.
    extraArgs:
        proxy-mode: iptables

    # # Disable kube-proxy deployment on cluster bootstrap.
    # disabled: false
schedulerSchedulerConfigScheduler server specific configuration options.
Show example(s)
scheduler:
    image: k8s.gcr.io/kube-scheduler:v1.25.0 # The container image used in the scheduler manifest.
    # Extra arguments to supply to the scheduler.
    extraArgs:
        feature-gates: AllBeta=true
discoveryClusterDiscoveryConfigConfigures cluster member discovery.
Show example(s)
discovery:
    enabled: true # Enable the cluster membership discovery feature.
    # Configure registries used for cluster member discovery.
    registries:
        # Kubernetes registry uses Kubernetes API server to discover cluster members and stores additional information
        kubernetes: {}
        # Service registry is using an external service to push and pull information about cluster members.
        service:
            endpoint: https://discovery.talos.dev/ # External service endpoint.
etcdEtcdConfigEtcd specific configuration options.
Show example(s)
etcd:
    image: gcr.io/etcd-development/etcd:v3.5.4 # The container image used to create the etcd service.
    # The `ca` is the root certificate authority of the PKI.
    ca:
        crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
        key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
    # Extra arguments to supply to etcd.
    extraArgs:
        election-timeout: "5000"

    # # The `advertisedSubnets` field configures the networks to pick etcd advertised IP from.
    # advertisedSubnets:
    #     - 10.0.0.0/8
coreDNSCoreDNSCore DNS specific configuration options.
Show example(s)
coreDNS:
    image: docker.io/coredns/coredns:1.9.3 # The `image` field is an override to the default coredns image.
externalCloudProviderExternalCloudProviderConfigExternal cloud provider configuration.
Show example(s)
externalCloudProvider:
    enabled: true # Enable external cloud provider.
    # A list of urls that point to additional manifests for an external cloud provider.
    manifests:
        - https://raw.githubusercontent.com/kubernetes/cloud-provider-aws/v1.20.0-alpha.0/manifests/rbac.yaml
        - https://raw.githubusercontent.com/kubernetes/cloud-provider-aws/v1.20.0-alpha.0/manifests/aws-cloud-controller-manager-daemonset.yaml
extraManifests[]string
A list of urls that point to additional manifests.These will get automatically deployed as part of the bootstrap.
Show example(s)
extraManifests:
    - https://www.example.com/manifest1.yaml
    - https://www.example.com/manifest2.yaml
extraManifestHeadersmap[string]stringA map of key value pairs that will be added while fetching the extraManifests.
Show example(s)
extraManifestHeaders:
    Token: "1234567"
    X-ExtraInfo: info
inlineManifestsClusterInlineManifests
A list of inline Kubernetes manifests.These will get automatically deployed as part of the bootstrap.
Show example(s)
inlineManifests:
    - name: namespace-ci # Name of the manifest.
      contents: |- # Manifest contents as a string.
        apiVersion: v1
        kind: Namespace
        metadata:
        	name: ci
adminKubeconfigAdminKubeconfigConfig
Settings for admin kubeconfig generation.Certificate lifetime can be configured.
Show example(s)
adminKubeconfig:
    certLifetime: 1h0m0s # Admin kubeconfig certificate lifetime (default is 1 year).
allowSchedulingOnControlPlanesboolAllows running workload on control-plane nodes.true
yes
false
no

ExtraMount

ExtraMount wraps OCI Mount specification.

Appears in:

- destination: /var/lib/example
  type: bind
  source: /var/lib/example
  options:
    - bind
    - rshared
    - rw

MachineControlPlaneConfig

MachineControlPlaneConfig machine specific configuration options.

Appears in:

# Controller manager machine specific configuration options.
controllerManager:
    disabled: false # Disable kube-controller-manager on the node.
# Scheduler machine specific configuration options.
scheduler:
    disabled: true # Disable kube-scheduler on the node.
FieldTypeDescriptionValue(s)
controllerManagerMachineControllerManagerConfigController manager machine specific configuration options.
schedulerMachineSchedulerConfigScheduler machine specific configuration options.

MachineControllerManagerConfig

MachineControllerManagerConfig represents the machine specific ControllerManager config values.

Appears in:

FieldTypeDescriptionValue(s)
disabledboolDisable kube-controller-manager on the node.

MachineSchedulerConfig

MachineSchedulerConfig represents the machine specific Scheduler config values.

Appears in:

FieldTypeDescriptionValue(s)
disabledboolDisable kube-scheduler on the node.

KubeletConfig

KubeletConfig represents the kubelet config values.

Appears in:

image: ghcr.io/siderolabs/kubelet:v1.25.0 # The `image` field is an optional reference to an alternative kubelet image.
# The `extraArgs` field is used to provide additional flags to the kubelet.
extraArgs:
    feature-gates: ServerSideApply=true

# # The `ClusterDNS` field is an optional reference to an alternative kubelet clusterDNS ip list.
# clusterDNS:
#     - 10.96.0.10
#     - 169.254.2.53

# # The `extraMounts` field is used to add additional mounts to the kubelet container.
# extraMounts:
#     - destination: /var/lib/example
#       type: bind
#       source: /var/lib/example
#       options:
#         - bind
#         - rshared
#         - rw

# # The `extraConfig` field is used to provide kubelet configuration overrides.
# extraConfig:
#     serverTLSBootstrap: true

# # The `nodeIP` field is used to configure `--node-ip` flag for the kubelet.
# nodeIP:
#     # The `validSubnets` field configures the networks to pick kubelet node IP from.
#     validSubnets:
#         - 10.0.0.0/8
#         - '!10.0.0.3/32'
#         - fdc7::/16
FieldTypeDescriptionValue(s)
imagestringThe image field is an optional reference to an alternative kubelet image.
Show example(s)
image: ghcr.io/siderolabs/kubelet:v1.25.0
clusterDNS[]stringThe ClusterDNS field is an optional reference to an alternative kubelet clusterDNS ip list.
Show example(s)
clusterDNS:
    - 10.96.0.10
    - 169.254.2.53
extraArgsmap[string]stringThe extraArgs field is used to provide additional flags to the kubelet.
Show example(s)
extraArgs:
    key: value
extraMounts[]ExtraMount
The extraMounts field is used to add additional mounts to the kubelet container.Note that either bind or rbind are required in the options.
Show example(s)
extraMounts:
    - destination: /var/lib/example
      type: bind
      source: /var/lib/example
      options:
        - bind
        - rshared
        - rw
extraConfigUnstructured
The extraConfig field is used to provide kubelet configuration overrides.
Some fields are not allowed to be overridden: authentication and authorization, cgroups
configuration, ports, etc.
Show example(s)
extraConfig:
    serverTLSBootstrap: true
defaultRuntimeSeccompProfileEnabledboolEnable container runtime default Seccomp profile.true
yes
false
no
registerWithFQDNbool
The registerWithFQDN field is used to force kubelet to use the node FQDN for registration.This is required in clouds like AWS.
true
yes
false
no
nodeIPKubeletNodeIPConfig
The nodeIP field is used to configure --node-ip flag for the kubelet.This is used when a node has multiple addresses to choose from.
Show example(s)
nodeIP:
    # The `validSubnets` field configures the networks to pick kubelet node IP from.
    validSubnets:
        - 10.0.0.0/8
        - '!10.0.0.3/32'
        - fdc7::/16
skipNodeRegistrationbool
The skipNodeRegistration is used to run the kubelet without registering with the apiserver.This runs kubelet as standalone and only runs static pods.
true
yes
false
no

KubeletNodeIPConfig

KubeletNodeIPConfig represents the kubelet node IP configuration.

Appears in:

# The `validSubnets` field configures the networks to pick kubelet node IP from.
validSubnets:
    - 10.0.0.0/8
    - '!10.0.0.3/32'
    - fdc7::/16
FieldTypeDescriptionValue(s)
validSubnets[]string
The validSubnets field configures the networks to pick kubelet node IP from.For dual stack configuration, there should be two subnets: one for IPv4, another for IPv6.
IPs can be excluded from the list by using negative match with !, e.g !10.0.0.0/8.
Negative subnet matches should be specified last to filter out IPs picked by positive matches.
If not specified, node IP is picked based on cluster podCIDRs: IPv4/IPv6 address or both.

NetworkConfig

NetworkConfig represents the machine’s networking config values.

Appears in:

hostname: worker-1 # Used to statically set the hostname for the machine.
# `interfaces` is used to define the network interface configuration.
interfaces:
    - interface: eth0 # The interface name.
      # Assigns static IP addresses to the interface.
      addresses:
        - 192.168.2.0/24
      # A list of routes associated with the interface.
      routes:
        - network: 0.0.0.0/0 # The route's network (destination).
          gateway: 192.168.2.1 # The route's gateway (if empty, creates link scope route).
          metric: 1024 # The optional metric for the route.
      mtu: 1500 # The interface's MTU.

      # # Picks a network device using the selector.

      # # select a device with bus prefix 00:*.
      # deviceSelector:
      #     busPath: 00:* # PCI, USB bus prefix, supports matching by wildcard.
      # # select a device with mac address matching `*:f0:ab` and `virtio` kernel driver.
      # deviceSelector:
      #     hardwareAddr: '*:f0:ab' # Device hardware address, supports matching by wildcard.
      #     driver: virtio # Kernel driver, supports matching by wildcard.

      # # Bond specific options.
      # bond:
      #     # The interfaces that make up the bond.
      #     interfaces:
      #         - eth0
      #         - eth1
      #     mode: 802.3ad # A bond option.
      #     lacpRate: fast # A bond option.

      # # Bridge specific options.
      # bridge:
      #     # The interfaces that make up the bridge.
      #     interfaces:
      #         - eth0
      #         - eth1
      #     # A bridge option.
      #     stp:
      #         enabled: true # Whether Spanning Tree Protocol (STP) is enabled.

      # # Indicates if DHCP should be used to configure the interface.
      # dhcp: true

      # # DHCP specific options.
      # dhcpOptions:
      #     routeMetric: 1024 # The priority of all routes received via DHCP.

      # # Wireguard specific configuration.

      # # wireguard server example
      # wireguard:
      #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
      #     listenPort: 51111 # Specifies a device's listening port.
      #     # Specifies a list of peer configurations to apply to a device.
      #     peers:
      #         - publicKey: ABCDEF... # Specifies the public key of this peer.
      #           endpoint: 192.168.1.3 # Specifies the endpoint of this peer entry.
      #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
      #           allowedIPs:
      #             - 192.168.1.0/24
      # # wireguard peer example
      # wireguard:
      #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
      #     # Specifies a list of peer configurations to apply to a device.
      #     peers:
      #         - publicKey: ABCDEF... # Specifies the public key of this peer.
      #           endpoint: 192.168.1.2 # Specifies the endpoint of this peer entry.
      #           persistentKeepaliveInterval: 10s # Specifies the persistent keepalive interval for this peer.
      #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
      #           allowedIPs:
      #             - 192.168.1.0/24

      # # Virtual (shared) IP address configuration.

      # # layer2 vip example
      # vip:
      #     ip: 172.16.199.55 # Specifies the IP address to be used.
# Used to statically set the nameservers for the machine.
nameservers:
    - 9.8.7.6
    - 8.7.6.5

# # Allows for extra entries to be added to the `/etc/hosts` file
# extraHostEntries:
#     - ip: 192.168.1.100 # The IP of the host.
#       # The host alias.
#       aliases:
#         - example
#         - example.domain.tld

# # Configures KubeSpan feature.
# kubespan:
#     enabled: true # Enable the KubeSpan feature.
FieldTypeDescriptionValue(s)
hostnamestringUsed to statically set the hostname for the machine.
interfaces[]Device
interfaces is used to define the network interface configuration.By default all network interfaces will attempt a DHCP discovery.
This can be further tuned through this configuration parameter.
Show example(s)
interfaces:
    - interface: eth0 # The interface name.
      # Assigns static IP addresses to the interface.
      addresses:
        - 192.168.2.0/24
      # A list of routes associated with the interface.
      routes:
        - network: 0.0.0.0/0 # The route's network (destination).
          gateway: 192.168.2.1 # The route's gateway (if empty, creates link scope route).
          metric: 1024 # The optional metric for the route.
      mtu: 1500 # The interface's MTU.

      # # Picks a network device using the selector.

      # # select a device with bus prefix 00:*.
      # deviceSelector:
      #     busPath: 00:* # PCI, USB bus prefix, supports matching by wildcard.
      # # select a device with mac address matching `*:f0:ab` and `virtio` kernel driver.
      # deviceSelector:
      #     hardwareAddr: '*:f0:ab' # Device hardware address, supports matching by wildcard.
      #     driver: virtio # Kernel driver, supports matching by wildcard.

      # # Bond specific options.
      # bond:
      #     # The interfaces that make up the bond.
      #     interfaces:
      #         - eth0
      #         - eth1
      #     mode: 802.3ad # A bond option.
      #     lacpRate: fast # A bond option.

      # # Bridge specific options.
      # bridge:
      #     # The interfaces that make up the bridge.
      #     interfaces:
      #         - eth0
      #         - eth1
      #     # A bridge option.
      #     stp:
      #         enabled: true # Whether Spanning Tree Protocol (STP) is enabled.

      # # Indicates if DHCP should be used to configure the interface.
      # dhcp: true

      # # DHCP specific options.
      # dhcpOptions:
      #     routeMetric: 1024 # The priority of all routes received via DHCP.

      # # Wireguard specific configuration.

      # # wireguard server example
      # wireguard:
      #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
      #     listenPort: 51111 # Specifies a device's listening port.
      #     # Specifies a list of peer configurations to apply to a device.
      #     peers:
      #         - publicKey: ABCDEF... # Specifies the public key of this peer.
      #           endpoint: 192.168.1.3 # Specifies the endpoint of this peer entry.
      #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
      #           allowedIPs:
      #             - 192.168.1.0/24
      # # wireguard peer example
      # wireguard:
      #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
      #     # Specifies a list of peer configurations to apply to a device.
      #     peers:
      #         - publicKey: ABCDEF... # Specifies the public key of this peer.
      #           endpoint: 192.168.1.2 # Specifies the endpoint of this peer entry.
      #           persistentKeepaliveInterval: 10s # Specifies the persistent keepalive interval for this peer.
      #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
      #           allowedIPs:
      #             - 192.168.1.0/24

      # # Virtual (shared) IP address configuration.

      # # layer2 vip example
      # vip:
      #     ip: 172.16.199.55 # Specifies the IP address to be used.
nameservers[]string
Used to statically set the nameservers for the machine.Defaults to 1.1.1.1 and 8.8.8.8
Show example(s)
nameservers:
    - 8.8.8.8
    - 1.1.1.1
extraHostEntries[]ExtraHostAllows for extra entries to be added to the /etc/hosts file
Show example(s)
extraHostEntries:
    - ip: 192.168.1.100 # The IP of the host.
      # The host alias.
      aliases:
        - example
        - example.domain.tld
kubespanNetworkKubeSpanConfigures KubeSpan feature.
Show example(s)
kubespan:
    enabled: true # Enable the KubeSpan feature.
disableSearchDomainbool
Disable generating a default search domain in /etc/resolv.confbased on the machine hostname.
Defaults to false.
true
yes
false
no

InstallConfig

InstallConfig represents the installation options for preparing a node.

Appears in:

disk: /dev/sda # The disk used for installations.
# Allows for supplying extra kernel args via the bootloader.
extraKernelArgs:
    - console=ttyS1
    - panic=10
image: ghcr.io/siderolabs/installer:latest # Allows for supplying the image used to perform the installation.
bootloader: true # Indicates if a bootloader should be installed.
wipe: false # Indicates if the installation disk should be wiped at installation time.

# # Look up disk using disk attributes like model, size, serial and others.
# diskSelector:
#     size: 4GB # Disk size.
#     model: WDC* # Disk model `/sys/block/<dev>/device/model`.
#     busPath: /pci0000:00/0000:00:17.0/ata1/host0/target0:0:0/0:0:0:0 # Disk bus path.

# # Allows for supplying additional system extension images to install on top of base Talos image.
# extensions:
#     - image: ghcr.io/siderolabs/gvisor:20220117.0-v1.0.0 # System extension image.
FieldTypeDescriptionValue(s)
diskstringThe disk used for installations.
Show example(s)
disk: /dev/sda
disk: /dev/nvme0
diskSelectorInstallDiskSelector
Look up disk using disk attributes like model, size, serial and others.Always has priority over disk.
Show example(s)
diskSelector:
    size: 4GB # Disk size.
    model: WDC* # Disk model `/sys/block/<dev>/device/model`.
    busPath: /pci0000:00/0000:00:17.0/ata1/host0/target0:0:0/0:0:0:0 # Disk bus path.
extraKernelArgs[]stringAllows for supplying extra kernel args via the bootloader.
Show example(s)
extraKernelArgs:
    - talos.platform=metal
    - reboot=k
imagestring
Allows for supplying the image used to perform the installation.Image reference for each Talos release can be found on
GitHub releases page.
Show example(s)
image: ghcr.io/siderolabs/installer:latest
extensions[]InstallExtensionConfigAllows for supplying additional system extension images to install on top of base Talos image.
Show example(s)
extensions:
    - image: ghcr.io/siderolabs/gvisor:20220117.0-v1.0.0 # System extension image.
bootloaderboolIndicates if a bootloader should be installed.true
yes
false
no
wipebool
Indicates if the installation disk should be wiped at installation time.Defaults to true.
true
yes
false
no
legacyBIOSSupportbool
Indicates if MBR partition should be marked as bootable (active).Should be enabled only for the systems with legacy BIOS that doesn’t support GPT partitioning scheme.

InstallDiskSelector

InstallDiskSelector represents a disk query parameters for the install disk lookup.

Appears in:

size: 4GB # Disk size.
model: WDC* # Disk model `/sys/block/<dev>/device/model`.
busPath: /pci0000:00/0000:00:17.0/ata1/host0/target0:0:0/0:0:0:0 # Disk bus path.
FieldTypeDescriptionValue(s)
sizeInstallDiskSizeMatcherDisk size.
Show example(s)
size: 4GB
size: '> 1TB'
size: <= 2TB
namestringDisk name /sys/block/<dev>/device/name.
modelstringDisk model /sys/block/<dev>/device/model.
serialstringDisk serial number /sys/block/<dev>/serial.
modaliasstringDisk modalias /sys/block/<dev>/device/modalias.
uuidstringDisk UUID /sys/block/<dev>/uuid.
wwidstringDisk WWID /sys/block/<dev>/wwid.
typeInstallDiskTypeDisk Type.ssd
hdd
nvme
sd
busPathstringDisk bus path.
Show example(s)
busPath: /pci0000:00/0000:00:17.0/ata1/host0/target0:0:0/0:0:0:0
busPath: /pci0000:00/*

InstallExtensionConfig

InstallExtensionConfig represents a configuration for a system extension.

Appears in:

- image: ghcr.io/siderolabs/gvisor:20220117.0-v1.0.0 # System extension image.
FieldTypeDescriptionValue(s)
imagestringSystem extension image.

TimeConfig

TimeConfig represents the options for configuring time on a machine.

Appears in:

disabled: false # Indicates if the time service is disabled for the machine.
# Specifies time (NTP) servers to use for setting the system time.
servers:
    - time.cloudflare.com
bootTimeout: 2m0s # Specifies the timeout when the node time is considered to be in sync unlocking the boot sequence.
FieldTypeDescriptionValue(s)
disabledbool
Indicates if the time service is disabled for the machine.Defaults to false.
servers[]string
Specifies time (NTP) servers to use for setting the system time.Defaults to pool.ntp.org
bootTimeoutDuration
Specifies the timeout when the node time is considered to be in sync unlocking the boot sequence.NTP sync will be still running in the background.
Defaults to “infinity” (waiting forever for time sync)

RegistriesConfig

RegistriesConfig represents the image pull options.

Appears in:

# Specifies mirror configuration for each registry.
mirrors:
    docker.io:
        # List of endpoints (URLs) for registry mirrors to use.
        endpoints:
            - https://registry.local
# Specifies TLS & auth configuration for HTTPS image registries.
config:
    registry.local:
        # The TLS configuration for the registry.
        tls:
            # Enable mutual TLS authentication with the registry.
            clientIdentity:
                crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
                key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
        # The auth configuration for this registry.
        auth:
            username: username # Optional registry authentication.
            password: password # Optional registry authentication.
FieldTypeDescriptionValue(s)
mirrorsmap[string]RegistryMirrorConfig
Specifies mirror configuration for each registry.This setting allows to use local pull-through caching registires,
air-gapped installations, etc.

Registry name is the first segment of image identifier, with ‘docker.io’
being default one.
Show example(s)
mirrors:
    ghcr.io:
        # List of endpoints (URLs) for registry mirrors to use.
        endpoints:
            - https://registry.insecure
            - https://ghcr.io/v2/
configmap[string]RegistryConfig
Specifies TLS & auth configuration for HTTPS image registries.Mutual TLS can be enabled with ‘clientIdentity’ option.

TLS configuration can be skipped if registry has trusted
server certificate.
Show example(s)
config:
    registry.insecure:
        # The TLS configuration for the registry.
        tls:
            insecureSkipVerify: true # Skip TLS server certificate verification (not recommended).

            # # Enable mutual TLS authentication with the registry.
            # clientIdentity:
            #     crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
            #     key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==

        # # The auth configuration for this registry.
        # auth:
        #     username: username # Optional registry authentication.
        #     password: password # Optional registry authentication.

PodCheckpointer

PodCheckpointer represents the pod-checkpointer config values.

FieldTypeDescriptionValue(s)
imagestringThe image field is an override to the default pod-checkpointer image.

CoreDNS

CoreDNS represents the CoreDNS config values.

Appears in:

image: docker.io/coredns/coredns:1.9.3 # The `image` field is an override to the default coredns image.
FieldTypeDescriptionValue(s)
disabledboolDisable coredns deployment on cluster bootstrap.
imagestringThe image field is an override to the default coredns image.

Endpoint

Endpoint represents the endpoint URL parsed out of the machine config.

Appears in:

https://1.2.3.4:6443
https://cluster1.internal:6443
udp://127.0.0.1:12345
tcp://1.2.3.4:12345

ControlPlaneConfig

ControlPlaneConfig represents the control plane configuration options.

Appears in:

endpoint: https://1.2.3.4 # Endpoint is the canonical controlplane endpoint, which can be an IP address or a DNS hostname.
localAPIServerPort: 443 # The port that the API server listens on internally.
FieldTypeDescriptionValue(s)
endpointEndpoint
Endpoint is the canonical controlplane endpoint, which can be an IP address or a DNS hostname.It is single-valued, and may optionally include a port number.
Show example(s)
endpoint: https://1.2.3.4:6443
endpoint: https://cluster1.internal:6443
localAPIServerPortint
The port that the API server listens on internally.This may be different than the port portion listed in the endpoint field above.
The default is 6443.

APIServerConfig

APIServerConfig represents the kube apiserver configuration options.

Appears in:

image: k8s.gcr.io/kube-apiserver:v1.25.0 # The container image used in the API server manifest.
# Extra arguments to supply to the API server.
extraArgs:
    feature-gates: ServerSideApply=true
    http2-max-streams-per-connection: "32"
# Extra certificate subject alternative names for the API server's certificate.
certSANs:
    - 1.2.3.4
    - 4.5.6.7

# # Configure the API server admission plugins.
# admissionControl:
#     - name: PodSecurity # Name is the name of the admission controller.
#       # Configuration is an embedded configuration object to be used as the plugin's
#       configuration:
#         apiVersion: pod-security.admission.config.k8s.io/v1alpha1
#         defaults:
#             audit: restricted
#             audit-version: latest
#             enforce: baseline
#             enforce-version: latest
#             warn: restricted
#             warn-version: latest
#         exemptions:
#             namespaces:
#                 - kube-system
#             runtimeClasses: []
#             usernames: []
#         kind: PodSecurityConfiguration
FieldTypeDescriptionValue(s)
imagestringThe container image used in the API server manifest.
Show example(s)
image: k8s.gcr.io/kube-apiserver:v1.25.0
extraArgsmap[string]stringExtra arguments to supply to the API server.
extraVolumes[]VolumeMountConfigExtra volumes to mount to the API server static pod.
envEnvThe env field allows for the addition of environment variables for the control plane component.
certSANs[]stringExtra certificate subject alternative names for the API server’s certificate.
disablePodSecurityPolicyboolDisable PodSecurityPolicy in the API server and default manifests.
admissionControl[]AdmissionPluginConfigConfigure the API server admission plugins.
Show example(s)
admissionControl:
    - name: PodSecurity # Name is the name of the admission controller.
      # Configuration is an embedded configuration object to be used as the plugin's
      configuration:
        apiVersion: pod-security.admission.config.k8s.io/v1alpha1
        defaults:
            audit: restricted
            audit-version: latest
            enforce: baseline
            enforce-version: latest
            warn: restricted
            warn-version: latest
        exemptions:
            namespaces:
                - kube-system
            runtimeClasses: []
            usernames: []
        kind: PodSecurityConfiguration

AdmissionPluginConfig

AdmissionPluginConfig represents the API server admission plugin configuration.

Appears in:

- name: PodSecurity # Name is the name of the admission controller.
  # Configuration is an embedded configuration object to be used as the plugin's
  configuration:
    apiVersion: pod-security.admission.config.k8s.io/v1alpha1
    defaults:
        audit: restricted
        audit-version: latest
        enforce: baseline
        enforce-version: latest
        warn: restricted
        warn-version: latest
    exemptions:
        namespaces:
            - kube-system
        runtimeClasses: []
        usernames: []
    kind: PodSecurityConfiguration
FieldTypeDescriptionValue(s)
namestring
Name is the name of the admission controller.It must match the registered admission plugin name.
configurationUnstructured
Configuration is an embedded configuration object to be used as the plugin’sconfiguration.

ControllerManagerConfig

ControllerManagerConfig represents the kube controller manager configuration options.

Appears in:

image: k8s.gcr.io/kube-controller-manager:v1.25.0 # The container image used in the controller manager manifest.
# Extra arguments to supply to the controller manager.
extraArgs:
    feature-gates: ServerSideApply=true
FieldTypeDescriptionValue(s)
imagestringThe container image used in the controller manager manifest.
Show example(s)
image: k8s.gcr.io/kube-controller-manager:v1.25.0
extraArgsmap[string]stringExtra arguments to supply to the controller manager.
extraVolumes[]VolumeMountConfigExtra volumes to mount to the controller manager static pod.
envEnvThe env field allows for the addition of environment variables for the control plane component.

ProxyConfig

ProxyConfig represents the kube proxy configuration options.

Appears in:

image: k8s.gcr.io/kube-proxy:v1.25.0 # The container image used in the kube-proxy manifest.
mode: ipvs # proxy mode of kube-proxy.
# Extra arguments to supply to kube-proxy.
extraArgs:
    proxy-mode: iptables

# # Disable kube-proxy deployment on cluster bootstrap.
# disabled: false
FieldTypeDescriptionValue(s)
disabledboolDisable kube-proxy deployment on cluster bootstrap.
Show example(s)
disabled: false
imagestringThe container image used in the kube-proxy manifest.
Show example(s)
image: k8s.gcr.io/kube-proxy:v1.25.0
modestring
proxy mode of kube-proxy.The default is ‘iptables’.
extraArgsmap[string]stringExtra arguments to supply to kube-proxy.

SchedulerConfig

SchedulerConfig represents the kube scheduler configuration options.

Appears in:

image: k8s.gcr.io/kube-scheduler:v1.25.0 # The container image used in the scheduler manifest.
# Extra arguments to supply to the scheduler.
extraArgs:
    feature-gates: AllBeta=true
FieldTypeDescriptionValue(s)
imagestringThe container image used in the scheduler manifest.
Show example(s)
image: k8s.gcr.io/kube-scheduler:v1.25.0
extraArgsmap[string]stringExtra arguments to supply to the scheduler.
extraVolumes[]VolumeMountConfigExtra volumes to mount to the scheduler static pod.
envEnvThe env field allows for the addition of environment variables for the control plane component.

EtcdConfig

EtcdConfig represents the etcd configuration options.

Appears in:

image: gcr.io/etcd-development/etcd:v3.5.4 # The container image used to create the etcd service.
# The `ca` is the root certificate authority of the PKI.
ca:
    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
# Extra arguments to supply to etcd.
extraArgs:
    election-timeout: "5000"

# # The `advertisedSubnets` field configures the networks to pick etcd advertised IP from.
# advertisedSubnets:
#     - 10.0.0.0/8
FieldTypeDescriptionValue(s)
imagestringThe container image used to create the etcd service.
Show example(s)
image: gcr.io/etcd-development/etcd:v3.5.4
caPEMEncodedCertificateAndKey
The ca is the root certificate authority of the PKI.It is composed of a base64 encoded crt and key.
Show example(s)
ca:
    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
extraArgsmap[string]string
Extra arguments to supply to etcd.Note that the following args are not allowed:

- name
- data-dir
- initial-cluster-state
- listen-peer-urls
- listen-client-urls
- cert-file
- key-file
- trusted-ca-file
- peer-client-cert-auth
- peer-cert-file
- peer-trusted-ca-file
- peer-key-file
advertisedSubnets[]string
The advertisedSubnets field configures the networks to pick etcd advertised IP from.
IPs can be excluded from the list by using negative match with !, e.g !10.0.0.0/8.
Negative subnet matches should be specified last to filter out IPs picked by positive matches.
If not specified, advertised IP is selected as the first routable address of the node.
Show example(s)
advertisedSubnets:
    - 10.0.0.0/8
listenSubnets[]string
The listenSubnets field configures the networks for the etcd to listen for peer and client connections.
If listenSubnets is not set, but advertisedSubnets is set, listenSubnets defaults to
advertisedSubnets.

If neither advertisedSubnets nor listenSubnets is set, listenSubnets defaults to listen on all addresses.

IPs can be excluded from the list by using negative match with !, e.g !10.0.0.0/8.
Negative subnet matches should be specified last to filter out IPs picked by positive matches.
If not specified, advertised IP is selected as the first routable address of the node.

ClusterNetworkConfig

ClusterNetworkConfig represents kube networking configuration options.

Appears in:

# The CNI used.
cni:
    name: flannel # Name of CNI to use.
dnsDomain: cluster.local # The domain used by Kubernetes DNS.
# The pod subnet CIDR.
podSubnets:
    - 10.244.0.0/16
# The service subnet CIDR.
serviceSubnets:
    - 10.96.0.0/12
FieldTypeDescriptionValue(s)
cniCNIConfig
The CNI used.Composed of “name” and “urls”.
The “name” key supports the following options: “flannel”, “custom”, and “none”.
“flannel” uses Talos-managed Flannel CNI, and that’s the default option.
“custom” uses custom manifests that should be provided in “urls”.
“none” indicates that Talos will not manage any CNI installation.
Show example(s)
cni:
    name: custom # Name of CNI to use.
    # URLs containing manifests to apply for the CNI.
    urls:
        - https://docs.projectcalico.org/archive/v3.20/manifests/canal.yaml
dnsDomainstring
The domain used by Kubernetes DNS.The default is cluster.local
Show example(s)
dnsDomain: cluser.local
podSubnets[]stringThe pod subnet CIDR.
Show example(s)
podSubnets:
    - 10.244.0.0/16
serviceSubnets[]stringThe service subnet CIDR.
Show example(s)
serviceSubnets:
    - 10.96.0.0/12

CNIConfig

CNIConfig represents the CNI configuration options.

Appears in:

name: custom # Name of CNI to use.
# URLs containing manifests to apply for the CNI.
urls:
    - https://docs.projectcalico.org/archive/v3.20/manifests/canal.yaml
FieldTypeDescriptionValue(s)
namestringName of CNI to use.flannel
custom
none
urls[]string
URLs containing manifests to apply for the CNI.Should be present for “custom”, must be empty for “flannel” and “none”.

ExternalCloudProviderConfig

ExternalCloudProviderConfig contains external cloud provider configuration.

Appears in:

enabled: true # Enable external cloud provider.
# A list of urls that point to additional manifests for an external cloud provider.
manifests:
    - https://raw.githubusercontent.com/kubernetes/cloud-provider-aws/v1.20.0-alpha.0/manifests/rbac.yaml
    - https://raw.githubusercontent.com/kubernetes/cloud-provider-aws/v1.20.0-alpha.0/manifests/aws-cloud-controller-manager-daemonset.yaml
FieldTypeDescriptionValue(s)
enabledboolEnable external cloud provider.true
yes
false
no
manifests[]string
A list of urls that point to additional manifests for an external cloud provider.These will get automatically deployed as part of the bootstrap.
Show example(s)
manifests:
    - https://raw.githubusercontent.com/kubernetes/cloud-provider-aws/v1.20.0-alpha.0/manifests/rbac.yaml
    - https://raw.githubusercontent.com/kubernetes/cloud-provider-aws/v1.20.0-alpha.0/manifests/aws-cloud-controller-manager-daemonset.yaml

AdminKubeconfigConfig

AdminKubeconfigConfig contains admin kubeconfig settings.

Appears in:

certLifetime: 1h0m0s # Admin kubeconfig certificate lifetime (default is 1 year).
FieldTypeDescriptionValue(s)
certLifetimeDuration
Admin kubeconfig certificate lifetime (default is 1 year).Field format accepts any Go time.Duration format (‘1h’ for one hour, ‘10m’ for ten minutes).

MachineDisk

MachineDisk represents the options available for partitioning, formatting, and mounting extra disks.

Appears in:

- device: /dev/sdb # The name of the disk to use.
  # A list of partitions to create on the disk.
  partitions:
    - mountpoint: /var/mnt/extra # Where to mount the partition.

      # # The size of partition: either bytes or human readable representation. If `size:` is omitted, the partition is sized to occupy the full disk.

      # # Human readable representation.
      # size: 100 MB
      # # Precise value in bytes.
      # size: 1073741824
FieldTypeDescriptionValue(s)
devicestringThe name of the disk to use.
partitions[]DiskPartitionA list of partitions to create on the disk.

DiskPartition

DiskPartition represents the options for a disk partition.

Appears in:

FieldTypeDescriptionValue(s)
sizeDiskSizeThe size of partition: either bytes or human readable representation. If size: is omitted, the partition is sized to occupy the full disk.
Show example(s)
size: 100 MB
size: 1073741824
mountpointstringWhere to mount the partition.

EncryptionConfig

EncryptionConfig represents partition encryption settings.

Appears in:

FieldTypeDescriptionValue(s)
providerstringEncryption provider to use for the encryption.
Show example(s)
provider: luks2
keys[]EncryptionKeyDefines the encryption keys generation and storage method.
cipherstringCipher kind to use for the encryption. Depends on the encryption provider.
Show example(s)
cipher: aes-xts-plain64
aes-xts-plain64
xchacha12,aes-adiantum-plain64
xchacha20,aes-adiantum-plain64
keySizeuintDefines the encryption key length.
blockSizeuint64Defines the encryption sector size.
Show example(s)
blockSize: 4096
options[]stringAdditional –perf parameters for the LUKS2 encryption.
Show example(s)
options:
    - no_read_workqueue
    - no_write_workqueue
no_read_workqueue
no_write_workqueue
same_cpu_crypt

EncryptionKey

EncryptionKey represents configuration for disk encryption key.

Appears in:

FieldTypeDescriptionValue(s)
staticEncryptionKeyStaticKey which value is stored in the configuration file.
nodeIDEncryptionKeyNodeIDDeterministically generated key from the node UUID and PartitionLabel.
slotintKey slot number for LUKS2 encryption.

EncryptionKeyStatic

EncryptionKeyStatic represents throw away key type.

Appears in:

FieldTypeDescriptionValue(s)
passphrasestringDefines the static passphrase value.

EncryptionKeyNodeID

EncryptionKeyNodeID represents deterministically generated key from the node UUID and PartitionLabel.

Appears in:


MachineFile

MachineFile represents a file to write to disk.

Appears in:

- content: '...' # The contents of the file.
  permissions: 0o666 # The file's permissions in octal.
  path: /tmp/file.txt # The path of the file.
  op: append # The operation to use
FieldTypeDescriptionValue(s)
contentstringThe contents of the file.
permissionsFileModeThe file’s permissions in octal.
pathstringThe path of the file.
opstringThe operation to usecreate
append
overwrite

ExtraHost

ExtraHost represents a host entry in /etc/hosts.

Appears in:

- ip: 192.168.1.100 # The IP of the host.
  # The host alias.
  aliases:
    - example
    - example.domain.tld
FieldTypeDescriptionValue(s)
ipstringThe IP of the host.
aliases[]stringThe host alias.

Device

Device represents a network interface.

Appears in:

- interface: eth0 # The interface name.
  # Assigns static IP addresses to the interface.
  addresses:
    - 192.168.2.0/24
  # A list of routes associated with the interface.
  routes:
    - network: 0.0.0.0/0 # The route's network (destination).
      gateway: 192.168.2.1 # The route's gateway (if empty, creates link scope route).
      metric: 1024 # The optional metric for the route.
  mtu: 1500 # The interface's MTU.

  # # Picks a network device using the selector.

  # # select a device with bus prefix 00:*.
  # deviceSelector:
  #     busPath: 00:* # PCI, USB bus prefix, supports matching by wildcard.
  # # select a device with mac address matching `*:f0:ab` and `virtio` kernel driver.
  # deviceSelector:
  #     hardwareAddr: '*:f0:ab' # Device hardware address, supports matching by wildcard.
  #     driver: virtio # Kernel driver, supports matching by wildcard.

  # # Bond specific options.
  # bond:
  #     # The interfaces that make up the bond.
  #     interfaces:
  #         - eth0
  #         - eth1
  #     mode: 802.3ad # A bond option.
  #     lacpRate: fast # A bond option.

  # # Bridge specific options.
  # bridge:
  #     # The interfaces that make up the bridge.
  #     interfaces:
  #         - eth0
  #         - eth1
  #     # A bridge option.
  #     stp:
  #         enabled: true # Whether Spanning Tree Protocol (STP) is enabled.

  # # Indicates if DHCP should be used to configure the interface.
  # dhcp: true

  # # DHCP specific options.
  # dhcpOptions:
  #     routeMetric: 1024 # The priority of all routes received via DHCP.

  # # Wireguard specific configuration.

  # # wireguard server example
  # wireguard:
  #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
  #     listenPort: 51111 # Specifies a device's listening port.
  #     # Specifies a list of peer configurations to apply to a device.
  #     peers:
  #         - publicKey: ABCDEF... # Specifies the public key of this peer.
  #           endpoint: 192.168.1.3 # Specifies the endpoint of this peer entry.
  #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
  #           allowedIPs:
  #             - 192.168.1.0/24
  # # wireguard peer example
  # wireguard:
  #     privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
  #     # Specifies a list of peer configurations to apply to a device.
  #     peers:
  #         - publicKey: ABCDEF... # Specifies the public key of this peer.
  #           endpoint: 192.168.1.2 # Specifies the endpoint of this peer entry.
  #           persistentKeepaliveInterval: 10s # Specifies the persistent keepalive interval for this peer.
  #           # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
  #           allowedIPs:
  #             - 192.168.1.0/24

  # # Virtual (shared) IP address configuration.

  # # layer2 vip example
  # vip:
  #     ip: 172.16.199.55 # Specifies the IP address to be used.
FieldTypeDescriptionValue(s)
interfacestring
The interface name.Mutually exclusive with deviceSelector.
Show example(s)
interface: eth0
deviceSelectorNetworkDeviceSelector
Picks a network device using the selector.Mutually exclusive with interface.
Supports partial match using wildcard syntax.
Show example(s)
deviceSelector:
    busPath: 00:* # PCI, USB bus prefix, supports matching by wildcard.
deviceSelector:
    hardwareAddr: '*:f0:ab' # Device hardware address, supports matching by wildcard.
    driver: virtio # Kernel driver, supports matching by wildcard.
addresses[]string
Assigns static IP addresses to the interface.An address can be specified either in proper CIDR notation or as a standalone address (netmask of all ones is assumed).
Show example(s)
addresses:
    - 10.5.0.0/16
    - 192.168.3.7
routes[]Route
A list of routes associated with the interface.If used in combination with DHCP, these routes will be appended to routes returned by DHCP server.
Show example(s)
routes:
    - network: 0.0.0.0/0 # The route's network (destination).
      gateway: 10.5.0.1 # The route's gateway (if empty, creates link scope route).
    - network: 10.2.0.0/16 # The route's network (destination).
      gateway: 10.2.0.1 # The route's gateway (if empty, creates link scope route).
bondBondBond specific options.
Show example(s)
bond:
    # The interfaces that make up the bond.
    interfaces:
        - eth0
        - eth1
    mode: 802.3ad # A bond option.
    lacpRate: fast # A bond option.
bridgeBridgeBridge specific options.
Show example(s)
bridge:
    # The interfaces that make up the bridge.
    interfaces:
        - eth0
        - eth1
    # A bridge option.
    stp:
        enabled: true # Whether Spanning Tree Protocol (STP) is enabled.
vlans[]VlanVLAN specific options.
mtuint
The interface’s MTU.If used in combination with DHCP, this will override any MTU settings returned from DHCP server.
dhcpbool
Indicates if DHCP should be used to configure the interface.The following DHCP options are supported:

- OptionClasslessStaticRoute
- OptionDomainNameServer
- OptionDNSDomainSearchList
- OptionHostName
Show example(s)
dhcp: true
ignoreboolIndicates if the interface should be ignored (skips configuration).
dummybool
Indicates if the interface is a dummy interface.dummy is used to specify that this interface should be a virtual-only, dummy interface.
dhcpOptionsDHCPOptions
DHCP specific options.dhcp must be set to true for these to take effect.
Show example(s)
dhcpOptions:
    routeMetric: 1024 # The priority of all routes received via DHCP.
wireguardDeviceWireguardConfig
Wireguard specific configuration.Includes things like private key, listen port, peers.
Show example(s)
wireguard:
    privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
    listenPort: 51111 # Specifies a device's listening port.
    # Specifies a list of peer configurations to apply to a device.
    peers:
        - publicKey: ABCDEF... # Specifies the public key of this peer.
          endpoint: 192.168.1.3 # Specifies the endpoint of this peer entry.
          # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
          allowedIPs:
            - 192.168.1.0/24
wireguard:
    privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
    # Specifies a list of peer configurations to apply to a device.
    peers:
        - publicKey: ABCDEF... # Specifies the public key of this peer.
          endpoint: 192.168.1.2 # Specifies the endpoint of this peer entry.
          persistentKeepaliveInterval: 10s # Specifies the persistent keepalive interval for this peer.
          # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
          allowedIPs:
            - 192.168.1.0/24
vipDeviceVIPConfigVirtual (shared) IP address configuration.
Show example(s)
vip:
    ip: 172.16.199.55 # Specifies the IP address to be used.

DHCPOptions

DHCPOptions contains options for configuring the DHCP settings for a given interface.

Appears in:

routeMetric: 1024 # The priority of all routes received via DHCP.
FieldTypeDescriptionValue(s)
routeMetricuint32The priority of all routes received via DHCP.
ipv4boolEnables DHCPv4 protocol for the interface (default is enabled).
ipv6boolEnables DHCPv6 protocol for the interface (default is disabled).
duidv6stringSet client DUID (hex string).

DeviceWireguardConfig

DeviceWireguardConfig contains settings for configuring Wireguard network interface.

Appears in:

privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
listenPort: 51111 # Specifies a device's listening port.
# Specifies a list of peer configurations to apply to a device.
peers:
    - publicKey: ABCDEF... # Specifies the public key of this peer.
      endpoint: 192.168.1.3 # Specifies the endpoint of this peer entry.
      # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
      allowedIPs:
        - 192.168.1.0/24
privateKey: ABCDEF... # Specifies a private key configuration (base64 encoded).
# Specifies a list of peer configurations to apply to a device.
peers:
    - publicKey: ABCDEF... # Specifies the public key of this peer.
      endpoint: 192.168.1.2 # Specifies the endpoint of this peer entry.
      persistentKeepaliveInterval: 10s # Specifies the persistent keepalive interval for this peer.
      # AllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.
      allowedIPs:
        - 192.168.1.0/24
FieldTypeDescriptionValue(s)
privateKeystring
Specifies a private key configuration (base64 encoded).Can be generated by wg genkey.
listenPortintSpecifies a device’s listening port.
firewallMarkintSpecifies a device’s firewall mark.
peers[]DeviceWireguardPeerSpecifies a list of peer configurations to apply to a device.

DeviceWireguardPeer

DeviceWireguardPeer a WireGuard device peer configuration.

Appears in:

FieldTypeDescriptionValue(s)
publicKeystring
Specifies the public key of this peer.Can be extracted from private key by running wg pubkey < private.key > public.key && cat public.key.
endpointstringSpecifies the endpoint of this peer entry.
persistentKeepaliveIntervalDuration
Specifies the persistent keepalive interval for this peer.Field format accepts any Go time.Duration format (‘1h’ for one hour, ‘10m’ for ten minutes).
allowedIPs[]stringAllowedIPs specifies a list of allowed IP addresses in CIDR notation for this peer.

DeviceVIPConfig

DeviceVIPConfig contains settings for configuring a Virtual Shared IP on an interface.

Appears in:

ip: 172.16.199.55 # Specifies the IP address to be used.
FieldTypeDescriptionValue(s)
ipstringSpecifies the IP address to be used.
equinixMetalVIPEquinixMetalConfigSpecifies the Equinix Metal API settings to assign VIP to the node.
hcloudVIPHCloudConfigSpecifies the Hetzner Cloud API settings to assign VIP to the node.

VIPEquinixMetalConfig

VIPEquinixMetalConfig contains settings for Equinix Metal VIP management.

Appears in:

FieldTypeDescriptionValue(s)
apiTokenstringSpecifies the Equinix Metal API Token.

VIPHCloudConfig

VIPHCloudConfig contains settings for Hetzner Cloud VIP management.

Appears in:

FieldTypeDescriptionValue(s)
apiTokenstringSpecifies the Hetzner Cloud API Token.

Bond

Bond contains the various options for configuring a bonded interface.

Appears in:

# The interfaces that make up the bond.
interfaces:
    - eth0
    - eth1
mode: 802.3ad # A bond option.
lacpRate: fast # A bond option.
FieldTypeDescriptionValue(s)
interfaces[]stringThe interfaces that make up the bond.
arpIPTarget[]string
A bond option.Please see the official kernel documentation.
Not supported at the moment.
modestring
A bond option.Please see the official kernel documentation.
xmitHashPolicystring
A bond option.Please see the official kernel documentation.
lacpRatestring
A bond option.Please see the official kernel documentation.
adActorSystemstring
A bond option.Please see the official kernel documentation.
Not supported at the moment.
arpValidatestring
A bond option.Please see the official kernel documentation.
arpAllTargetsstring
A bond option.Please see the official kernel documentation.
primarystring
A bond option.Please see the official kernel documentation.
primaryReselectstring
A bond option.Please see the official kernel documentation.
failOverMacstring
A bond option.Please see the official kernel documentation.
adSelectstring
A bond option.Please see the official kernel documentation.
miimonuint32
A bond option.Please see the official kernel documentation.
updelayuint32
A bond option.Please see the official kernel documentation.
downdelayuint32
A bond option.Please see the official kernel documentation.
arpIntervaluint32
A bond option.Please see the official kernel documentation.
resendIgmpuint32
A bond option.Please see the official kernel documentation.
minLinksuint32
A bond option.Please see the official kernel documentation.
lpIntervaluint32
A bond option.Please see the official kernel documentation.
packetsPerSlaveuint32
A bond option.Please see the official kernel documentation.
numPeerNotifuint8
A bond option.Please see the official kernel documentation.
tlbDynamicLbuint8
A bond option.Please see the official kernel documentation.
allSlavesActiveuint8
A bond option.Please see the official kernel documentation.
useCarrierbool
A bond option.Please see the official kernel documentation.
adActorSysPriouint16
A bond option.Please see the official kernel documentation.
adUserPortKeyuint16
A bond option.Please see the official kernel documentation.
peerNotifyDelayuint32
A bond option.Please see the official kernel documentation.

STP

STP contains the various options for configuring the STP properties of a bridge interface.

Appears in:

FieldTypeDescriptionValue(s)
enabledboolWhether Spanning Tree Protocol (STP) is enabled.

Bridge

Bridge contains the various options for configuring a bridge interface.

Appears in:

# The interfaces that make up the bridge.
interfaces:
    - eth0
    - eth1
# A bridge option.
stp:
    enabled: true # Whether Spanning Tree Protocol (STP) is enabled.
FieldTypeDescriptionValue(s)
interfaces[]stringThe interfaces that make up the bridge.
stpSTP
A bridge option.Please see the official kernel documentation.

Vlan

Vlan represents vlan settings for a device.

Appears in:

FieldTypeDescriptionValue(s)
addresses[]stringThe addresses in CIDR notation or as plain IPs to use.
routes[]RouteA list of routes associated with the VLAN.
dhcpboolIndicates if DHCP should be used.
vlanIduint16The VLAN’s ID.
mtuuint32The VLAN’s MTU.
vipDeviceVIPConfigThe VLAN’s virtual IP address configuration.
dhcpOptionsDHCPOptions
DHCP specific options.dhcp must be set to true for these to take effect.

Route

Route represents a network route.

Appears in:

- network: 0.0.0.0/0 # The route's network (destination).
  gateway: 10.5.0.1 # The route's gateway (if empty, creates link scope route).
- network: 10.2.0.0/16 # The route's network (destination).
  gateway: 10.2.0.1 # The route's gateway (if empty, creates link scope route).
FieldTypeDescriptionValue(s)
networkstringThe route’s network (destination).
gatewaystringThe route’s gateway (if empty, creates link scope route).
sourcestringThe route’s source address (optional).
metricuint32The optional metric for the route.

RegistryMirrorConfig

RegistryMirrorConfig represents mirror configuration for a registry.

Appears in:

ghcr.io:
    # List of endpoints (URLs) for registry mirrors to use.
    endpoints:
        - https://registry.insecure
        - https://ghcr.io/v2/
FieldTypeDescriptionValue(s)
endpoints[]string
List of endpoints (URLs) for registry mirrors to use.Endpoint configures HTTP/HTTPS access mode, host name,
port and path (if path is not set, it defaults to /v2).

RegistryConfig

RegistryConfig specifies auth & TLS config per registry.

Appears in:

registry.insecure:
    # The TLS configuration for the registry.
    tls:
        insecureSkipVerify: true # Skip TLS server certificate verification (not recommended).

        # # Enable mutual TLS authentication with the registry.
        # clientIdentity:
        #     crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
        #     key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==

    # # The auth configuration for this registry.
    # auth:
    #     username: username # Optional registry authentication.
    #     password: password # Optional registry authentication.
FieldTypeDescriptionValue(s)
tlsRegistryTLSConfigThe TLS configuration for the registry.
Show example(s)
tls:
    # Enable mutual TLS authentication with the registry.
    clientIdentity:
        crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
        key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
tls:
    insecureSkipVerify: true # Skip TLS server certificate verification (not recommended).

    # # Enable mutual TLS authentication with the registry.
    # clientIdentity:
    #     crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    #     key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
authRegistryAuthConfig
The auth configuration for this registry.Note: changes to the registry auth will not be picked up by the CRI containerd plugin without a reboot.
Show example(s)
auth:
    username: username # Optional registry authentication.
    password: password # Optional registry authentication.

RegistryAuthConfig

RegistryAuthConfig specifies authentication configuration for a registry.

Appears in:

username: username # Optional registry authentication.
password: password # Optional registry authentication.
FieldTypeDescriptionValue(s)
usernamestring
Optional registry authentication.The meaning of each field is the same with the corresponding field in .docker/config.json.
passwordstring
Optional registry authentication.The meaning of each field is the same with the corresponding field in .docker/config.json.
authstring
Optional registry authentication.The meaning of each field is the same with the corresponding field in .docker/config.json.
identityTokenstring
Optional registry authentication.The meaning of each field is the same with the corresponding field in .docker/config.json.

RegistryTLSConfig

RegistryTLSConfig specifies TLS config for HTTPS registries.

Appears in:

# Enable mutual TLS authentication with the registry.
clientIdentity:
    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
insecureSkipVerify: true # Skip TLS server certificate verification (not recommended).

# # Enable mutual TLS authentication with the registry.
# clientIdentity:
#     crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
#     key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
FieldTypeDescriptionValue(s)
clientIdentityPEMEncodedCertificateAndKey
Enable mutual TLS authentication with the registry.Client certificate and key should be base64-encoded.
Show example(s)
clientIdentity:
    crt: LS0tIEVYQU1QTEUgQ0VSVElGSUNBVEUgLS0t
    key: LS0tIEVYQU1QTEUgS0VZIC0tLQ==
caBase64Bytes
CA registry certificate to add the list of trusted certificates.Certificate should be base64-encoded.
insecureSkipVerifyboolSkip TLS server certificate verification (not recommended).

SystemDiskEncryptionConfig

SystemDiskEncryptionConfig specifies system disk partitions encryption settings.

Appears in:

# Ephemeral partition encryption.
ephemeral:
    provider: luks2 # Encryption provider to use for the encryption.
    # Defines the encryption keys generation and storage method.
    keys:
        - # Deterministically generated key from the node UUID and PartitionLabel.
          nodeID: {}
          slot: 0 # Key slot number for LUKS2 encryption.

    # # Cipher kind to use for the encryption. Depends on the encryption provider.
    # cipher: aes-xts-plain64

    # # Defines the encryption sector size.
    # blockSize: 4096

    # # Additional --perf parameters for the LUKS2 encryption.
    # options:
    #     - no_read_workqueue
    #     - no_write_workqueue
FieldTypeDescriptionValue(s)
stateEncryptionConfigState partition encryption.
ephemeralEncryptionConfigEphemeral partition encryption.

FeaturesConfig

FeaturesConfig describes individual Talos features that can be switched on or off.

Appears in:

rbac: true # Enable role-based access control (RBAC).

# # Configure Talos API access from Kubernetes pods.
# kubernetesTalosAPIAccess:
#     enabled: true # Enable Talos API access from Kubernetes pods.
#     # The list of Talos API roles which can be granted for access from Kubernetes pods.
#     allowedRoles:
#         - os:reader
#     # The list of Kubernetes namespaces Talos API access is available from.
#     allowedKubernetesNamespaces:
#         - kube-system
FieldTypeDescriptionValue(s)
rbacboolEnable role-based access control (RBAC).
stableHostnameboolEnable stable default hostname.
kubernetesTalosAPIAccessKubernetesTalosAPIAccessConfig
Configure Talos API access from Kubernetes pods.
This feature is disabled if the feature config is not specified.
Show example(s)
kubernetesTalosAPIAccess:
    enabled: true # Enable Talos API access from Kubernetes pods.
    # The list of Talos API roles which can be granted for access from Kubernetes pods.
    allowedRoles:
        - os:reader
    # The list of Kubernetes namespaces Talos API access is available from.
    allowedKubernetesNamespaces:
        - kube-system

KubernetesTalosAPIAccessConfig

KubernetesTalosAPIAccessConfig describes the configuration for the Talos API access from Kubernetes pods.

Appears in:

enabled: true # Enable Talos API access from Kubernetes pods.
# The list of Talos API roles which can be granted for access from Kubernetes pods.
allowedRoles:
    - os:reader
# The list of Kubernetes namespaces Talos API access is available from.
allowedKubernetesNamespaces:
    - kube-system
FieldTypeDescriptionValue(s)
enabledboolEnable Talos API access from Kubernetes pods.
allowedRoles[]string
The list of Talos API roles which can be granted for access from Kubernetes pods.
Empty list means that no roles can be granted, so access is blocked.
allowedKubernetesNamespaces[]stringThe list of Kubernetes namespaces Talos API access is available from.

VolumeMountConfig

VolumeMountConfig struct describes extra volume mount for the static pods.

Appears in:

FieldTypeDescriptionValue(s)
hostPathstringPath on the host.
Show example(s)
hostPath: /var/lib/auth
mountPathstringPath in the container.
Show example(s)
mountPath: /etc/kubernetes/auth
readonlyboolMount the volume read only.
Show example(s)
readonly: true

ClusterInlineManifest

ClusterInlineManifest struct describes inline bootstrap manifests for the user.

FieldTypeDescriptionValue(s)
namestring
Name of the manifest.Name should be unique.
Show example(s)
name: csi
contentsstringManifest contents as a string.
Show example(s)
contents: /etc/kubernetes/auth

NetworkKubeSpan

NetworkKubeSpan struct describes KubeSpan configuration.

Appears in:

enabled: true # Enable the KubeSpan feature.
FieldTypeDescriptionValue(s)
enabledbool
Enable the KubeSpan feature.Cluster discovery should be enabled with .cluster.discovery.enabled for KubeSpan to be enabled.
advertiseKubernetesNetworksbool
Control whether Kubernetes pod CIDRs are announced over KubeSpan from the node.If disabled, CNI handles encapsulating pod-to-pod traffic into some node-to-node tunnel,
and KubeSpan handles the node-to-node traffic.
If enabled, KubeSpan will take over pod-to-pod traffic and send it over KubeSpan directly.
When enabled, KubeSpan should have a way to detect complete pod CIDRs of the node which
is not always the case with CNIs not relying on Kubernetes for IPAM.
allowDownPeerBypassbool
Skip sending traffic via KubeSpan if the peer connection state is not up.This provides configurable choice between connectivity and security: either traffic is always
forced to go via KubeSpan (even if Wireguard peer connection is not up), or traffic can go directly
to the peer if Wireguard connection can’t be established.

NetworkDeviceSelector

NetworkDeviceSelector struct describes network device selector.

Appears in:

busPath: 00:* # PCI, USB bus prefix, supports matching by wildcard.
hardwareAddr: '*:f0:ab' # Device hardware address, supports matching by wildcard.
driver: virtio # Kernel driver, supports matching by wildcard.
FieldTypeDescriptionValue(s)
busPathstringPCI, USB bus prefix, supports matching by wildcard.
hardwareAddrstringDevice hardware address, supports matching by wildcard.
pciIDstringPCI ID (vendor ID, product ID), supports matching by wildcard.
driverstringKernel driver, supports matching by wildcard.

ClusterDiscoveryConfig

ClusterDiscoveryConfig struct configures cluster membership discovery.

Appears in:

enabled: true # Enable the cluster membership discovery feature.
# Configure registries used for cluster member discovery.
registries:
    # Kubernetes registry uses Kubernetes API server to discover cluster members and stores additional information
    kubernetes: {}
    # Service registry is using an external service to push and pull information about cluster members.
    service:
        endpoint: https://discovery.talos.dev/ # External service endpoint.
FieldTypeDescriptionValue(s)
enabledbool
Enable the cluster membership discovery feature.Cluster discovery is based on individual registries which are configured under the registries field.
registriesDiscoveryRegistriesConfigConfigure registries used for cluster member discovery.

DiscoveryRegistriesConfig

DiscoveryRegistriesConfig struct configures cluster membership discovery.

Appears in:

FieldTypeDescriptionValue(s)
kubernetesRegistryKubernetesConfig
Kubernetes registry uses Kubernetes API server to discover cluster members and stores additional informationas annotations on the Node resources.
serviceRegistryServiceConfigService registry is using an external service to push and pull information about cluster members.

RegistryKubernetesConfig

RegistryKubernetesConfig struct configures Kubernetes discovery registry.

Appears in:

FieldTypeDescriptionValue(s)
disabledboolDisable Kubernetes discovery registry.

RegistryServiceConfig

RegistryServiceConfig struct configures Kubernetes discovery registry.

Appears in:

FieldTypeDescriptionValue(s)
disabledboolDisable external service discovery registry.
endpointstringExternal service endpoint.
Show example(s)
endpoint: https://discovery.talos.dev/

UdevConfig

UdevConfig describes how the udev system should be configured.

Appears in:

# List of udev rules to apply to the udev system
rules:
    - SUBSYSTEM=="drm", KERNEL=="renderD*", GROUP="44", MODE="0660"
FieldTypeDescriptionValue(s)
rules[]stringList of udev rules to apply to the udev system

LoggingConfig

LoggingConfig struct configures Talos logging.

Appears in:

# Logging destination.
destinations:
    - endpoint: tcp://1.2.3.4:12345 # Where to send logs. Supported protocols are "tcp" and "udp".
      format: json_lines # Logs format.
FieldTypeDescriptionValue(s)
destinations[]LoggingDestinationLogging destination.

LoggingDestination

LoggingDestination struct configures Talos logging destination.

Appears in:

FieldTypeDescriptionValue(s)
endpointEndpointWhere to send logs. Supported protocols are “tcp” and “udp”.
Show example(s)
endpoint: udp://127.0.0.1:12345
endpoint: tcp://1.2.3.4:12345
formatstringLogs format.json_lines

KernelConfig

KernelConfig struct configures Talos Linux kernel.

Appears in:

# Kernel modules to load.
modules:
    - name: brtfs # Module name.
FieldTypeDescriptionValue(s)
modules[]KernelModuleConfigKernel modules to load.

KernelModuleConfig

KernelModuleConfig struct configures Linux kernel modules to load.

Appears in:

FieldTypeDescriptionValue(s)
namestringModule name.

5.4 - Kernel

Linux kernel reference.

Commandline Parameters

Talos supports a number of kernel commandline parameters. Some are required for it to operate. Others are optional and useful in certain circumstances.

Several of these are enforced by the Kernel Self Protection Project KSPP.

Required parameters:

  • talos.platform: can be one of aws, azure, container, digitalocean, gcp, metal, equinixMetal, or vmware
  • init_on_alloc=1: required by KSPP
  • slab_nomerge: required by KSPP
  • pti=on: required by KSPP

Recommended parameters:

  • init_on_free=1: advised by KSPP if minimizing stale data lifetime is important

Available Talos-specific parameters

ip

Initial configuration of the interface, routes, DNS, NTP servers.

Full documentation is available in the Linux kernel docs.

ip=<client-ip>:<server-ip>:<gw-ip>:<netmask>:<hostname>:<device>:<autoconf>:<dns0-ip>:<dns1-ip>:<ntp0-ip>

Talos will use the configuration supplied via the kernel parameter as the initial network configuration. This parameter is useful in the environments where DHCP doesn’t provide IP addresses or when default DNS and NTP servers should be overridden before loading machine configuration. Partial configuration can be applied as well, e.g. ip=<:::::::<dns0-ip>:<dns1-ip>:<ntp0-ip> sets only the DNS and NTP servers.

IPv6 addresses can be specified by enclosing them in the square brackets, e.g. ip=[2001:db8::a]:[2001:db8::b]:[fe80::1]::controlplane1:eth1::[2001:4860:4860::6464]:[2001:4860:4860::64]:[2001:4860:4806::].

bond

Bond interface configuration.

Full documentation is available in the Dracut kernel docs.

bond=<bondname>:<bondslaves>:<options>:<mtu>

Talos will use the bond= kernel parameter if supplied to set the initial bond configuration. This parameter is useful in environments where the switch ports are suspended if the machine doesn’t setup a LACP bond.

If only the bond name is supplied, the bond will be created with eth0 and eth1 as slaves and bond mode set as balance-rr

All these below configurations are equivalent:

  • bond=bond0
  • bond=bond0:
  • bond=bond0::
  • bond=bond0:::
  • bond=bond0:eth0,eth1
  • bond=bond0:eth0,eth1:balance-rr

An example of a bond configuration with all options specified:

bond=bond1:eth3,eth4:mode=802.3ad,xmit_hash_policy=layer2+3:1450

This will create a bond interface named bond1 with eth3 and eth4 as slaves and set the bond mode to 802.3ad, the transmit hash policy to layer2+3 and bond interface MTU to 1450.

vlan

The interface vlan configuration.

Full documentation is available in the Dracut kernel docs.

Talos will use the vlan= kernel parameter if supplied to set the initial vlan configuration. This parameter is useful in environments where the switch ports are VLAN tagged with no native VLAN.

Only one vlan can be configured at this stage.

An example of a vlan configuration including static ip configuration:

vlan=eth0.100:eth0 ip=172.20.0.2::172.20.0.1:255.255.255.0::eth0.100:::::

This will create a vlan interface named eth0.100 with eth0 as the underlying interface and set the vlan id to 100 with static IP 172.20.0.2/24 and 172.20.0.1 as default gateway.

panic

The amount of time to wait after a panic before a reboot is issued.

Talos will always reboot if it encounters an unrecoverable error. However, when collecting debug information, it may reboot too quickly for humans to read the logs. This option allows the user to delay the reboot to give time to collect debug information from the console screen.

A value of 0 disables automatic rebooting entirely.

talos.config

The URL at which the machine configuration data may be found.

This parameter supports variable substitution inside URL query values for the following case-insensitive placeholders:

  • ${uuid} the SMBIOS UUID
  • ${serial} the SMBIOS Serial Number
  • ${mac} the MAC address of the first network interface attaining link state up
  • ${hostname} the hostname of the machine

The following example

http://example.com/metadata?h=${hostname}&m=${mac}&s=${serial}&u=${uuid}

may translate to

http://example.com/metadata?h=myTestHostname&m=52%3A2f%3Afd%3Adf%3Afc%3Ac0&s=0OCZJ19N65&u=40dcbd19-3b10-444e-bfff-aaee44a51fda

For backwards compatibility we insert the system UUID into the query parameter uuid if its value is empty. As in http://example.com/metadata?uuid= => http://example.com/metadata?uuid=40dcbd19-3b10-444e-bfff-aaee44a51fda

talos.platform

The platform name on which Talos will run.

Valid options are:

  • aws
  • azure
  • container
  • digitalocean
  • gcp
  • metal
  • equinixMetal
  • vmware

talos.board

The board name, if Talos is being used on an ARM64 SBC.

Supported boards are:

  • bananapi_m64: Banana Pi M64
  • libretech_all_h3_cc_h5: Libre Computer ALL-H3-CC
  • rock64: Pine64 Rock64
  • rpi_4: Raspberry Pi 4, Model B

talos.hostname

The hostname to be used. The hostname is generally specified in the machine config. However, in some cases, the DHCP server needs to know the hostname before the machine configuration has been acquired.

Unless specifically required, the machine configuration should be used instead.

talos.shutdown

The type of shutdown to use when Talos is told to shutdown.

Valid options are:

  • halt
  • poweroff

talos.network.interface.ignore

A network interface which should be ignored and not configured by Talos.

Before a configuration is applied (early on each boot), Talos attempts to configure each network interface by DHCP. If there are many network interfaces on the machine which have link but no DHCP server, this can add significant boot delays.

This option may be specified multiple times for multiple network interfaces.

talos.experimental.wipe

Resets the disk before starting up the system.

Valid options are:

  • system resets system disk.

5.5 - Platform

Visualization of the bootstrap process on bare metal machines.

Metal

Below is a image to visualize the process of bootstrapping nodes.

6 - Learn More

6.1 - Philosophy

Learn about the philosophy behind the need for Talos Linux.

Distributed

Talos is intended to be operated in a distributed manner. That is, it is built for a high-availability dataplane first. Its etcd cluster is built in an ad-hoc manner, with each appointed node joining on its own directive (with proper security validations enforced, of course). Like as kubernetes itself, workloads are intended to be distributed across any number of compute nodes.

There should be no single points of failure, and the level of required coordination is as low as each platform allows.

Immutable

Talos takes immutability very seriously. Talos itself, even when installed on a disk, always runs from a SquashFS image, meaning that even if a directory is mounted to be writable, the image itself is never modified. All images are signed and delivered as single, versioned files. We can always run integrity checks on our image to verify that it has not been modified.

While Talos does allow a few, highly-controlled write points to the filesystem, we strive to make them as non-unique and non-critical as possible. In fact, we call the writable partition the “ephemeral” partition precisely because we want to make sure none of us ever uses it for unique, non-replicated, non-recreatable data. Thus, if all else fails, we can always wipe the disk and get back up and running.

Minimal

We are always trying to reduce and keep small Talos’ footprint. Because nearly the entire OS is built from scratch in Go, we are already starting out in a good position. We have no shell. We have no SSH. We have none of the GNU utilities, not even a rollup tool such as busybox. Everything which is included in Talos is there because it is necessary, and nothing is included which isn’t.

As a result, the OS right now produces a SquashFS image size of less than 80 MB.

Ephemeral

Everything Talos writes to its disk is either replicated or reconstructable. Since the controlplane is high availability, the loss of any node will cause neither service disruption nor loss of data. No writes are even allowed to the vast majority of the filesystem. We even call the writable partition “ephemeral” to keep this idea always in focus.

Secure

Talos has always been designed with security in mind. With its immutability, its minimalism, its signing, and its componenture, we are able to simply bypass huge classes of vulnerabilities. Moreover, because of the way we have designed Talos, we are able to take advantage of a number of additional settings, such as the recommendations of the Kernel Self Protection Project (kspp) and the complete disablement of dynamic modules.

There are no passwords in Talos. All networked communication is encrypted and key-authenticated. The Talos certificates are short-lived and automatically-rotating. Kubernetes is always constructed with its own separate PKI structure which is enforced.

Declarative

Everything which can be configured in Talos is done so through a single YAML manifest. There is no scripting and no procedural steps. Everything is defined by the one declarative YAML file. This configuration includes that of both Talos itself and the Kubernetes which it forms.

This is achievable because Talos is tightly focused to do one thing: run kubernetes, in the easiest, most secure, most reliable way it can.

6.2 - Architecture

Learn the system architecture of Talos Linux itself.

Talos is designed to be atomic in deployment and modular in composition.

It is atomic in that the entirety of Talos is distributed as a single, self-contained image, which is versioned, signed, and immutable.

It is modular in that it is composed of many separate components which have clearly defined gRPC interfaces which facilitate internal flexibility and external operational guarantees.

All of the main Talos components communicate with each other by gRPC, through a socket on the local machine. This imposes a clear separation of concerns and ensures that changes over time which affect the interoperation of components are a part of the public git record. The benefit is that each component may be iterated and changed as its needs dictate, so long as the external API is controlled. This is a key component in reducing coupling and maintaining modularity.

File system partitions

Talos uses these partitions with the following labels:

  1. EFI - stores EFI boot data.
  2. BIOS - used for GRUB’s second stage boot.
  3. BOOT - used for the boot loader, stores initramfs and kernel data.
  4. META - stores metadata about the talos node, such as node id’s.
  5. STATE - stores machine configuration, node identity data for cluster discovery and KubeSpan info
  6. EPHEMERAL - stores ephemeral state information, mounted at /var

The File System

One of the unique design decisions in Talos is the layout of the root file system. There are three “layers” to the Talos root file system. At its core the rootfs is a read-only squashfs. The squashfs is then mounted as a loop device into memory. This provides Talos with an immutable base.

The next layer is a set of tmpfs file systems for runtime specific needs. Aside from the standard pseudo file systems such as /dev, /proc, /run, /sys and /tmp, a special /system is created for internal needs. One reason for this is that we need special files such as /etc/hosts, and /etc/resolv.conf to be writable (remember that the rootfs is read-only). For example, at boot Talos will write /system/etc/hosts and then bind mount it over /etc/hosts. This means that instead of making all of /etc writable, Talos only makes very specific files writable under /etc.

All files under /system are completely recreated on each boot. For files and directories that need to persist across boots, Talos creates overlayfs file systems. The /etc/kubernetes is a good example of this. Directories like this are overlayfs backed by an XFS file system mounted at /var.

The /var directory is owned by Kubernetes with the exception of the above overlayfs file systems. This directory is writable and used by etcd (in the case of control plane nodes), the kubelet, and the CRI (containerd).

6.3 - Concepts

Summary of Talos Linux.

When people come across Talos, they frequently want a nice, bite-sized summary of it. This is surprisingly difficult when Talos represents such a fundamentally-rethought operating system.

Not based on X distro

A useful way to summarize an operating system is to say that it is based on X, but focused on Y. For instance, Mint was originally based on Ubuntu, but focused on Gnome 2 (instead of, at the time, Unity). Or maybe something like Raspbian is based on Debian, but it is focused on the Raspberry Pi. CentOS is RHEL, but made license-free.

Talos Linux isn’t based on any other distribution. We often think of ourselves as being the second-generation of container-optimised operating systems, where things like CoreOS, Flatcar, and Rancher represent the first generation, but that implies heredity where there is none.

Talos Linux is actually a ground-up rewrite of the userspace, from PID 1. We run the Linux kernel, but everything downstream of that is our own custom code, written in Go, rigorously-tested, and published as an immutable, integrated, cohesive image. The Linux kernel launches what we call machined, for instance, not systemd. There is no systemd on our system. There are no GNU utilities, no shell, no SSH, no packages, nothing you could associate with any other distribution. We don’t even have a build toolchain in the normal sense of the word.

Not for individual use

Technically, Talos Linux installs to a computer much as other operating systems. Unlike other operating systems, Talos is not meant to run alone, on a single machine. Talos Linux comes with tooling from the very foundation to form clusters, even before Kubernetes comes into play. A design goal of Talos Linux is eliminating the management of individual nodes as much as possible. In order to do that, Talos Linux operates as a cluster of machines, with lots of checking and coordination between them, at all levels.

Break from your mind the idea of running an application on a computer. There are no individual computers. There is only a cluster. Talos is meant to do one thing: maintain a Kubernetes cluster, and it does this very, very well.

The entirety of the configuration of any machine is specified by a single, simple configuration file, which can often be the same configuration file used across many machines. Much like a biological system, if some component misbehaves, just cut it out and let a replacement grow. Rebuilds of Talos are remarkably fast, whether they be new machines, upgrades, or reinstalls. Never get hung up on an individual machine.

6.4 - Components

Understand the system components that make up Talos Linux.

In this section, we discuss the various components that underpin Talos.

Components

Talos Linux and Kubernetes are tightly integrated.

Talos Linux and Kubernetes components

In the following, the focus is on the Talos Linux specific components.

ComponentDescription
apidWhen interacting with Talos, the gRPC API endpoint you interact with directly is provided by apid. apid acts as the gateway for all component interactions and forwards the requests to machined.
containerdAn industry-standard container runtime with an emphasis on simplicity, robustness, and portability. To learn more, see the containerd website.
machinedTalos replacement for the traditional Linux init-process. Specially designed to run Kubernetes and does not allow starting arbitrary user services.
networkdHandles all of the host level network configuration. The configuration is defined under the networking key
kernelThe Linux kernel included with Talos is configured according to the recommendations outlined in the Kernel Self Protection Project.
trustdTo run and operate a Kubernetes cluster, a certain level of trust is required. Based on the concept of a ‘Root of Trust’, trustd is a simple daemon responsible for establishing trust within the system.
udevdImplementation of eudev into machined. eudev is Gentoo’s fork of udev, systemd’s device file manager for the Linux kernel. It manages device nodes in /dev and handles all user space actions when adding or removing devices. To learn more, see the Gentoo Wiki.

apid

When interacting with Talos, the gRPC api endpoint you will interact with directly is apid. Apid acts as the gateway for all component interactions. Apid provides a mechanism to route requests to the appropriate destination when running on a control plane node.

We’ll use some examples below to illustrate what apid is doing.

When a user wants to interact with a Talos component via talosctl, there are two flags that control the interaction with apid. The -e | --endpoints flag specifies which Talos node ( via apid ) should handle the connection. Typically this is a public-facing server. The -n | --nodes flag specifies which Talos node(s) should respond to the request. If --nodes is omitted, the first endpoint will be used.

Note: Typically, there will be an endpoint already defined in the Talos config file. Optionally, nodes can be included here as well.

For example, if a user wants to interact with machined, a command like talosctl -e cluster.talos.dev memory may be used.

$ talosctl -e cluster.talos.dev memory
NODE                TOTAL   USED   FREE   SHARED   BUFFERS   CACHE   AVAILABLE
cluster.talos.dev   7938    1768   2390   145      53        3724    6571

In this case, talosctl is interacting with apid running on cluster.talos.dev and forwarding the request to the machined api.

If we wanted to extend our example to retrieve memory from another node in our cluster, we could use the command talosctl -e cluster.talos.dev -n node02 memory.

$ talosctl -e cluster.talos.dev -n node02 memory
NODE    TOTAL   USED   FREE   SHARED   BUFFERS   CACHE   AVAILABLE
node02  7938    1768   2390   145      53        3724    6571

The apid instance on cluster.talos.dev receives the request and forwards it to apid running on node02, which forwards the request to the machined api.

We can further extend our example to retrieve memory for all nodes in our cluster by appending additional -n node flags or using a comma separated list of nodes ( -n node01,node02,node03 ):

$ talosctl -e cluster.talos.dev -n node01 -n node02 -n node03 memory
NODE     TOTAL    USED    FREE     SHARED   BUFFERS   CACHE   AVAILABLE
node01   7938     871     4071     137      49        2945    7042
node02   257844   14408   190796   18138    49        52589   227492
node03   257844   1830    255186   125      49        777     254556

The apid instance on cluster.talos.dev receives the request and forwards it to node01, node02, and node03, which then forwards the request to their local machined api.

containerd

Containerd provides the container runtime to launch workloads on Talos and Kubernetes.

Talos services are namespaced under the system namespace in containerd, whereas the Kubernetes services are namespaced under the k8s.io namespace.

machined

A common theme throughout the design of Talos is minimalism. We believe strongly in the UNIX philosophy that each program should do one job well. The init included in Talos is one example of this, and we are calling it “machined”.

We wanted to create a focused init that had one job - run Kubernetes. To that extent, machined is relatively static in that it does not allow for arbitrary user-defined services. Only the services necessary to run Kubernetes and manage the node are available. This includes:

  • containerd
  • kubelet
  • networkd
  • trustd
  • udevd

networkd

Networkd handles all of the host level network configuration. The configuration is defined under the networking key.

By default, we attempt to issue a DHCP request for every interface on the server. This can be overridden by supplying one of the following kernel arguments:

  • talos.network.interface.ignore - specify a list of interfaces to skip discovery on
  • ip - ip=<client-ip>:<server-ip>:<gw-ip>:<netmask>:<hostname>:<device>:<autoconf>:<dns0-ip>:<dns1-ip>:<ntp0-ip> as documented in the kernel here
    • ex, ip=10.0.0.99:::255.0.0.0:control-1:eth0:off:10.0.0.1

kernel

The Linux kernel included with Talos is configured according to the recommendations outlined in the Kernel Self Protection Project (KSSP).

trustd

Security is one of the highest priorities within Talos. To run a Kubernetes cluster, a certain level of trust is required to operate a cluster. For example, orchestrating the bootstrap of a highly available control plane requires sensitive PKI data distribution.

To that end, we created trustd. Based on a Root of Trust concept, trustd is a simple daemon responsible for establishing trust within the system. Once trust is established, various methods become available to the trustee. For example, it can accept a write request from another node to place a file on disk.

Additional methods and capabilities will be added to the trustd component to support new functionality in the rest of the Talos environment.

udevd

Udevd handles the kernel device notifications and sets up the necessary links in /dev.

6.5 - Control Plane

Understand the Kubernetes Control Plane.

This guide provides information about the Kubernetes control plane, and details on how Talos runs and bootstraps the Kubernetes control plane.

What is a control plane node?

A control plane node is a node which:

  • runs etcd, the Kubernetes database
  • runs the Kubernetes control plane
    • kube-apiserver
    • kube-controller-manager
    • kube-scheduler
  • serves as an administrative proxy to the worker nodes

These nodes are critical to the operation of your cluster. Without control plane nodes, Kubernetes will not respond to changes in the system, and certain central services may not be available.

Talos nodes which have .machine.type of controlplane are control plane nodes. (check via talosctl get member)

Control plane nodes are tainted by default to prevent workloads from being scheduled onto them. This is both to protect the control plane from workloads consuming resources and starving the control plane processes, and also to reduce the risk of a vulnerability exposes the control plane’s credentials to a workload.

The Control Plane and Etcd

A critical design concept of Kubernetes (and Talos) is the etcd database.

Properly managed (which Talos Linux does), etcd should never have split brain or noticeable down time. In order to do this, etcd maintains the concept of “membership” and of “quorum”. To perform any operation, read or write, the database requires quorum. That is, a majority of members must agree on the current leader, and absenteeism (members that are down, or not reachable) counts as a negative. For example, if there are three members, at least two out of the three must agree on the current leader. If two disagree or fail to answer, the etcd database will lock itself until quorum is achieved in order to protect the integrity of the data.

This design means that having two controlplane nodes is worse than having only one, because if either goes down, your database will lock (and the chance of one of two nodes going down is greater than the chance of just a single node going down). Similarly, a 4 node etcd cluster is worse than a 3 node etcd cluster - a 4 node cluster requires 3 nodes to be up to achieve quorum (in order to have a majority), while the 3 node cluster requires 2 nodes: i.e. both can support a single node failure and keep running - but the chance of a node failing in a 4 node cluster is higher than that in a 3 node cluster.

Another note about etcd: due to the need to replicate data amongst members, performance of etcd decreases as the cluster scales. A 5 node cluster can commit about 5% less writes per second than a 3 node cluster running on the same hardware.

Recommendations for your control plane

  • Run your clusters with three or five control plane nodes. Three is enough for most use cases. Five will give you better availability (in that it can tolerate two node failures simultaneously), but cost you more both in the number of nodes required, and also as each node may require more hardware resources to offset the performance degradation seen in larger clusters.
  • Implement good monitoring and put processes in place to deal with a failed node in a timely manner (and test them!)
  • Even with robust monitoring and procedures for replacing failed nodes in place, backup etcd and your control plane node configuration to guard against unforeseen disasters.
  • Monitor the performance of your etcd clusters. If etcd performance is slow, vertically scale the nodes, not the number of nodes.
  • If a control plane node fails, remove it first, then add the replacement node. (This ensures that the failed node does not “vote” when adding in the new node, minimizing the chances of a quorum violation.)
  • If replacing a node that has not failed, add the new one, then remove the old.

Bootstrapping the Control Plane

Every new cluster must be bootstrapped only once, which is achieved by telling a single control plane node to initiate the bootstrap.

Bootstrapping itself does not do anything with Kubernetes. Bootstrapping only tells etcd to form a cluster, so don’t judge the success of a bootstrap by the failure of Kubernetes to start. Kubernetes relies on etcd, so bootstrapping is required, but it is not sufficient for Kubernetes to start. If your Kubernetes cluster fails to form for other reasons (say, a bad configuration option or unavailable container repository), if the bootstrap API call returns successfully, you do NOT need to bootstrap again: just fix the config or let Kubernetes retry.

High-level Overview

Talos cluster bootstrap flow:

  1. The etcd service is started on control plane nodes. Instances of etcd on control plane nodes build the etcd cluster.
  2. The kubelet service is started.
  3. Control plane components are started as static pods via the kubelet, and the kube-apiserver component connects to the local (running on the same node) etcd instance.
  4. The kubelet issues client certificate using the bootstrap token using the control plane endpoint (via kube-apiserver and kube-controller-manager).
  5. The kubelet registers the node in the API server.
  6. Kubernetes control plane schedules pods on the nodes.

Cluster Bootstrapping

All nodes start the kubelet service. The kubelet tries to contact the control plane endpoint, but as it is not up yet, it keeps retrying.

One of the control plane nodes is chosen as the bootstrap node, and promoted using the bootstrap API (talosctl bootstrap). The bootstrap node initiates the etcd bootstrap process by initializing etcd as the first member of the cluster.

Once etcd is bootstrapped, the bootstrap node has no special role and acts the same way as other control plane nodes.

Services etcd on non-bootstrap nodes try to get Endpoints resource via control plane endpoint, but that request fails as control plane endpoint is not up yet.

As soon as etcd is up on the bootstrap node, static pod definitions for the Kubernetes control plane components (kube-apiserver, kube-controller-manager, kube-scheduler) are rendered to disk. The kubelet service on the bootstrap node picks up the static pod definitions and starts the Kubernetes control plane components. As soon as kube-apiserver is launched, the control plane endpoint comes up.

The bootstrap node acquires an etcd mutex and injects the bootstrap manifests into the API server. The set of the bootstrap manifests specify the Kubernetes join token and kubelet CSR auto-approval. The kubelet service on all the nodes is now able to issue client certificates for themselves and register nodes in the API server.

Other bootstrap manifests specify additional resources critical for Kubernetes operations (i.e. CNI, PSP, etc.)

The etcd service on non-bootstrap nodes is now able to discover other members of the etcd cluster via the Kubernetes Endpoints resource. The etcd cluster is now formed and consists of all control plane nodes.

All control plane nodes render static pod manifests for the control plane components. Each node now runs a full set of components to make the control plane HA.

The kubelet service on worker nodes is now able to issue the client certificate and register itself with the API server.

Scaling Up the Control Plane

When new nodes are added to the control plane, the process is the same as the bootstrap process above: the etcd service discovers existing members of the control plane via the control plane endpoint, joins the etcd cluster, and the control plane components are scheduled on the node.

Scaling Down the Control Plane

Scaling down the control plane involves removing a node from the cluster. The most critical part is making sure that the node which is being removed leaves the etcd cluster. The recommended way to do this is to use:

  • talosctl -n IP.of.node.to.remove reset
  • kubectl delete node

When using talosctl reset command, the targeted control plane node leaves the etcd cluster as part of the reset sequence, and its disks are erased.

Upgrading Talos on Control Plane Nodes

When a control plane node is upgraded, Talos leaves etcd, wipes the system disk, installs a new version of itself, and reboots. The upgraded node then joins the etcd cluster on reboot. So upgrading a control plane node is equivalent to scaling down the control plane node followed by scaling up with a new version of Talos.

6.6 - Controllers and Resources

Discover how Talos Linux uses the concepts on Controllers and Resources.

Talos implements concepts of resources and controllers to facilitate internal operations of the operating system. Talos resources and controllers are very similar to Kubernetes resources and controllers, but there are some differences. The content of this document is not required to operate Talos, but it is useful for troubleshooting.

Starting with Talos 0.9, most of the Kubernetes control plane bootstrapping and operations is implemented via controllers and resources which allows Talos to be reactive to configuration changes, environment changes (e.g. time sync).

Resources

A resource captures a piece of system state. Each resource belongs to a “Type” which defines resource contents. Resource state can be split in two parts:

  • metadata: fixed set of fields describing resource - namespace, type, ID, etc.
  • spec: contents of the resource (depends on resource type).

Resource is uniquely identified by (namespace, type, id). Namespaces provide a way to avoid conflicts on duplicate resource IDs.

At the moment of this writing, all resources are local to the node and stored in memory. So on every reboot resource state is rebuilt from scratch (the only exception is MachineConfig resource which reflects current machine config).

Controllers

Controllers run as independent lightweight threads in Talos. The goal of the controller is to reconcile the state based on inputs and eventually update outputs.

A controller can have any number of resource types (and namespaces) as inputs. In other words, it watches specified resources for changes and reconciles when these changes occur. A controller might also have additional inputs: running reconcile on schedule, watching etcd keys, etc.

A controller has a single output: a set of resources of fixed type in a fixed namespace. Only one controller can manage resource type in the namespace, so conflicts are avoided.

Querying Resources

Talos CLI tool talosctl provides read-only access to the resource API which includes getting specific resource, listing resources and watching for changes.

Talos stores resources describing resource types and namespaces in meta namespace:

$ talosctl get resourcedefinitions
NODE         NAMESPACE   TYPE                 ID                                               VERSION
172.20.0.2   meta        ResourceDefinition   bootstrapstatuses.v1alpha1.talos.dev             1
172.20.0.2   meta        ResourceDefinition   etcdsecrets.secrets.talos.dev                    1
172.20.0.2   meta        ResourceDefinition   kubernetescontrolplaneconfigs.config.talos.dev   1
172.20.0.2   meta        ResourceDefinition   kubernetessecrets.secrets.talos.dev              1
172.20.0.2   meta        ResourceDefinition   machineconfigs.config.talos.dev                  1
172.20.0.2   meta        ResourceDefinition   machinetypes.config.talos.dev                    1
172.20.0.2   meta        ResourceDefinition   manifests.kubernetes.talos.dev                   1
172.20.0.2   meta        ResourceDefinition   manifeststatuses.kubernetes.talos.dev            1
172.20.0.2   meta        ResourceDefinition   namespaces.meta.cosi.dev                         1
172.20.0.2   meta        ResourceDefinition   resourcedefinitions.meta.cosi.dev                1
172.20.0.2   meta        ResourceDefinition   rootsecrets.secrets.talos.dev                    1
172.20.0.2   meta        ResourceDefinition   secretstatuses.kubernetes.talos.dev              1
172.20.0.2   meta        ResourceDefinition   services.v1alpha1.talos.dev                      1
172.20.0.2   meta        ResourceDefinition   staticpods.kubernetes.talos.dev                  1
172.20.0.2   meta        ResourceDefinition   staticpodstatuses.kubernetes.talos.dev           1
172.20.0.2   meta        ResourceDefinition   timestatuses.v1alpha1.talos.dev                  1
$ talosctl get namespaces
NODE         NAMESPACE   TYPE        ID             VERSION
172.20.0.2   meta        Namespace   config         1
172.20.0.2   meta        Namespace   controlplane   1
172.20.0.2   meta        Namespace   meta           1
172.20.0.2   meta        Namespace   runtime        1
172.20.0.2   meta        Namespace   secrets        1

Most of the time namespace flag (--namespace) can be omitted, as ResourceDefinition contains default namespace which is used if no namespace is given:

$ talosctl get resourcedefinitions resourcedefinitions.meta.cosi.dev -o yaml
node: 172.20.0.2
metadata:
    namespace: meta
    type: ResourceDefinitions.meta.cosi.dev
    id: resourcedefinitions.meta.cosi.dev
    version: 1
    phase: running
spec:
    type: ResourceDefinitions.meta.cosi.dev
    displayType: ResourceDefinition
    aliases:
        - resourcedefinitions
        - resourcedefinition
        - resourcedefinitions.meta
        - resourcedefinitions.meta.cosi
        - rd
        - rds
    printColumns: []
    defaultNamespace: meta

Resource definition also contains type aliases which can be used interchangeably with canonical resource name:

$ talosctl get ns config
NODE         NAMESPACE   TYPE        ID             VERSION
172.20.0.2   meta        Namespace   config         1

Output

Command talosctl get supports following output modes:

  • table (default) prints resource list as a table
  • yaml prints pretty formatted resources with details, including full metadata spec. This format carries most details from the backend resource (e.g. comments in MachineConfig resource)
  • json prints same information as yaml, some additional details (e.g. comments) might be lost. This format is useful for automated processing with tools like jq.

Watching Changes

If flag --watch is appended to the talosctl get command, the command switches to watch mode. If list of resources was requested, talosctl prints initial contents of the list and then appends resource information for every change:

$ talosctl get svc -w
NODE         *   NAMESPACE   TYPE      ID     VERSION   RUNNING   HEALTHY
172.20.0.2   +   runtime   Service   timed   2   true   true
172.20.0.2   +   runtime   Service   trustd   2   true   true
172.20.0.2   +   runtime   Service   udevd   2   true   true
172.20.0.2   -   runtime   Service   timed   2   true   true
172.20.0.2   +   runtime   Service   timed   1   true   false
172.20.0.2       runtime   Service   timed   2   true   true

Column * specifies event type:

  • + is created
  • - is deleted
  • is updated

In YAML/JSON output, field event is added to the resource representation to describe the event type.

Examples

Getting machine config:

$ talosctl get machineconfig -o yaml
node: 172.20.0.2
metadata:
    namespace: config
    type: MachineConfigs.config.talos.dev
    id: v1alpha1
    version: 2
    phase: running
spec:
    version: v1alpha1 # Indicates the schema used to decode the contents.
    debug: false # Enable verbose logging to the console.
    persist: true # Indicates whether to pull the machine config upon every boot.
    # Provides machine specific configuration options.
...

Getting control plane static pod statuses:

$ talosctl get staticpodstatus
NODE         NAMESPACE      TYPE              ID                                                           VERSION   READY
172.20.0.2   controlplane   StaticPodStatus   kube-system/kube-apiserver-talos-default-controlplane-1            3         True
172.20.0.2   controlplane   StaticPodStatus   kube-system/kube-controller-manager-talos-default-controlplane-1   3         True
172.20.0.2   controlplane   StaticPodStatus   kube-system/kube-scheduler-talos-default-controlplane-1            4         True

Getting static pod definition for kube-apiserver:

$ talosctl get sp kube-apiserver -n 172.20.0.2 -o yaml
node: 172.20.0.2
metadata:
    namespace: controlplane
    type: StaticPods.kubernetes.talos.dev
    id: kube-apiserver
    version: 3
    phase: running
    finalizers:
        - k8s.StaticPodStatus("kube-apiserver")
spec:
    apiVersion: v1
    kind: Pod
    metadata:
        annotations:
            talos.dev/config-version: "1"
            talos.dev/secrets-version: "2"
...

Inspecting Controller Dependencies

Talos can report current dependencies between controllers and resources for debugging purposes:

$ talosctl inspect dependencies
digraph  {

  n1[label="config.K8sControlPlaneController",shape="box"];
  n3[label="config.MachineTypeController",shape="box"];
  n2[fillcolor="azure2",label="config:KubernetesControlPlaneConfigs.config.talos.dev",shape="note",style="filled"];
...

This outputs graph in graphviz format which can be rendered to PNG with command:

talosctl inspect dependencies | dot -T png > deps.png

Controller Dependencies

Graph can be enhanced by replacing resource types with actual resource instances:

talosctl inspect dependencies --with-resources | dot -T png > deps.png

Controller Dependencies with Resources

6.7 - Networking Resources

Delve deeper into networking of Talos Linux.

Talos network configuration subsystem is powered by COSI. Talos translates network configuration from multiple sources: machine configuration, cloud metadata, network automatic configuration (e.g. DHCP) into COSI resources.

Network configuration and network state can be inspected using talosctl get command.

Network machine configuration can be modified using talosctl edit mc command (also variants talosctl patch mc, talosctl apply-config) without a reboot. As API access requires network connection, --mode=try can be used to test the configuration with automatic rollback to avoid losing network access to the node.

Resources

There are six basic network configuration items in Talos:

  • Address (IP address assigned to the interface/link);
  • Route (route to a destination);
  • Link (network interface/link configuration);
  • Resolver (list of DNS servers);
  • Hostname (node hostname and domainname);
  • TimeServer (list of NTP servers).

Each network configuration item has two counterparts:

  • *Status (e.g. LinkStatus) describes the current state of the system (Linux kernel state);
  • *Spec (e.g. LinkSpec) defines the desired configuration.
ResourceStatusSpec
AddressAddressStatusAddressSpec
RouteRouteStatusRouteSpec
LinkLinkStatusLinkSpec
ResolverResolverStatusResolverSpec
HostnameHostnameStatusHostnameSpec
TimeServerTimeServerStatusTimeServerSpec

Status resources have aliases with the Status suffix removed, so for example AddressStatus is also available as Address.

Talos networking controllers reconcile the state so that *Status equals the desired *Spec.

Observing State

The current network configuration state can be observed by querying *Status resources via talosctl:

$ talosctl get addresses
NODE         NAMESPACE   TYPE            ID                                       VERSION   ADDRESS                        LINK
172.20.0.2   network     AddressStatus   eth0/172.20.0.2/24                       1         172.20.0.2/24                  eth0
172.20.0.2   network     AddressStatus   eth0/fe80::9804:17ff:fe9d:3058/64        2         fe80::9804:17ff:fe9d:3058/64   eth0
172.20.0.2   network     AddressStatus   flannel.1/10.244.4.0/32                  1         10.244.4.0/32                  flannel.1
172.20.0.2   network     AddressStatus   flannel.1/fe80::10b5:44ff:fe62:6fb8/64   2         fe80::10b5:44ff:fe62:6fb8/64   flannel.1
172.20.0.2   network     AddressStatus   lo/127.0.0.1/8                           1         127.0.0.1/8                    lo
172.20.0.2   network     AddressStatus   lo/::1/128                               1         ::1/128                        lo

In the output there are addresses set up by Talos (e.g. eth0/172.20.0.2/24) and addresses set up by other facilities (e.g. flannel.1/10.244.4.0/32 set up by CNI).

Talos networking controllers watch the kernel state and update resources accordingly.

Additional details about the address can be accessed via the YAML output:

# talosctl get address eth0/172.20.0.2/24 -o yaml
node: 172.20.0.2
metadata:
    namespace: network
    type: AddressStatuses.net.talos.dev
    id: eth0/172.20.0.2/24
    version: 1
    owner: network.AddressStatusController
    phase: running
    created: 2021-06-29T20:23:18Z
    updated: 2021-06-29T20:23:18Z
spec:
    address: 172.20.0.2/24
    local: 172.20.0.2
    broadcast: 172.20.0.255
    linkIndex: 4
    linkName: eth0
    family: inet4
    scope: global
    flags: permanent

Resources can be watched for changes with the --watch flag to see how configuration changes over time.

Other networking status resources can be inspected with talosctl get routes, talosctl get links, etc. For example:

$ talosctl get resolvers
NODE         NAMESPACE   TYPE             ID          VERSION   RESOLVERS
172.20.0.2   network     ResolverStatus   resolvers   2         ["8.8.8.8","1.1.1.1"]
# talosctl get links -o yaml
node: 172.20.0.2
metadata:
    namespace: network
    type: LinkStatuses.net.talos.dev
    id: eth0
    version: 2
    owner: network.LinkStatusController
    phase: running
    created: 2021-06-29T20:23:18Z
    updated: 2021-06-29T20:23:18Z
spec:
    index: 4
    type: ether
    linkIndex: 0
    flags: UP,BROADCAST,RUNNING,MULTICAST,LOWER_UP
    hardwareAddr: 4e:95:8e:8f:e4:47
    broadcastAddr: ff:ff:ff:ff:ff:ff
    mtu: 1500
    queueDisc: pfifo_fast
    operationalState: up
    kind: ""
    slaveKind: ""
    driver: virtio_net
    linkState: true
    speedMbit: 4294967295
    port: Other
    duplex: Unknown

Inspecting Configuration

The desired networking configuration is combined from multiple sources and presented as *Spec resources:

$ talosctl get addressspecs
NODE         NAMESPACE   TYPE          ID                   VERSION
172.20.0.2   network     AddressSpec   eth0/172.20.0.2/24   2
172.20.0.2   network     AddressSpec   lo/127.0.0.1/8       2
172.20.0.2   network     AddressSpec   lo/::1/128           2

These AddressSpecs are applied to the Linux kernel to reach the desired state. If, for example, an AddressSpec is removed, the address is removed from the Linux network interface as well.

*Spec resources can’t be manipulated directly, they are generated automatically by Talos from multiple configuration sources (see a section below for details).

If a *Spec resource is queried in YAML format, some additional information is available:

# talosctl get addressspecs eth0/172.20.0.2/24 -o yaml
node: 172.20.0.2
metadata:
    namespace: network
    type: AddressSpecs.net.talos.dev
    id: eth0/172.20.0.2/24
    version: 2
    owner: network.AddressMergeController
    phase: running
    created: 2021-06-29T20:23:18Z
    updated: 2021-06-29T20:23:18Z
    finalizers:
        - network.AddressSpecController
spec:
    address: 172.20.0.2/24
    linkName: eth0
    family: inet4
    scope: global
    flags: permanent
    layer: operator

An important field is the layer field, which describes a configuration layer this spec is coming from: in this case, it’s generated by a network operator (see below) and is set by the DHCPv4 operator.

Configuration Merging

Spec resources described in the previous section show the final merged configuration state, while initial specs are put to a different unmerged namespace network-config. Spec resources in the network-config namespace are merged with conflict resolution to produce the final merged representation in the network namespace.

Let’s take HostnameSpec as an example. The final merged representation is:

# talosctl get hostnamespec -o yaml
node: 172.20.0.2
metadata:
    namespace: network
    type: HostnameSpecs.net.talos.dev
    id: hostname
    version: 2
    owner: network.HostnameMergeController
    phase: running
    created: 2021-06-29T20:23:18Z
    updated: 2021-06-29T20:23:18Z
    finalizers:
        - network.HostnameSpecController
spec:
    hostname: talos-default-controlplane-1
    domainname: ""
    layer: operator

We can see that the final configuration for the hostname is talos-default-controlplane-1. And this is the hostname that was actually applied. This can be verified by querying a HostnameStatus resource:

$ talosctl get hostnamestatus
NODE         NAMESPACE   TYPE             ID         VERSION   HOSTNAME                 DOMAINNAME
172.20.0.2   network     HostnameStatus   hostname   1         talos-default-controlplane-1

Initial configuration for the hostname in the network-config namespace is:

# talosctl get hostnamespec -o yaml --namespace network-config
node: 172.20.0.2
metadata:
    namespace: network-config
    type: HostnameSpecs.net.talos.dev
    id: default/hostname
    version: 2
    owner: network.HostnameConfigController
    phase: running
    created: 2021-06-29T20:23:18Z
    updated: 2021-06-29T20:23:18Z
spec:
    hostname: talos-172-20-0-2
    domainname: ""
    layer: default
---
node: 172.20.0.2
metadata:
    namespace: network-config
    type: HostnameSpecs.net.talos.dev
    id: dhcp4/eth0/hostname
    version: 1
    owner: network.OperatorSpecController
    phase: running
    created: 2021-06-29T20:23:18Z
    updated: 2021-06-29T20:23:18Z
spec:
    hostname: talos-default-controlplane-1
    domainname: ""
    layer: operator

We can see that there are two specs for the hostname:

  • one from the default configuration layer which defines the hostname as talos-172-20-0-2 (default driven by the default node address);
  • another one from the layer operator that defines the hostname as talos-default-controlplane-1 (DHCP).

Talos merges these two specs into a final HostnameSpec based on the configuration layer and merge rules. Here is the order of precedence from low to high:

  • default (defaults provided by Talos);
  • cmdline (from the kernel command line);
  • platform (driven by the cloud provider);
  • operator (various dynamic configuration options: DHCP, Virtual IP, etc);
  • configuration (derived from the machine configuration).

So in our example the operator layer HostnameSpec overrides the default layer producing the final hostname talos-default-controlplane-1.

The merge process applies to all six core networking specs. For each spec, the layer controls the merge behavior If multiple configuration specs appear at the same layer, they can be merged together if possible, otherwise merge result is stable but not defined (e.g. if DHCP on multiple interfaces provides two different hostnames for the node).

LinkSpecs are merged across layers, so for example, machine configuration for the interface MTU overrides an MTU set by the DHCP server.

Network Operators

Network operators provide dynamic network configuration which can change over time as the node is running:

  • DHCPv4
  • DHCPv6
  • Virtual IP

Network operators produce specs for addresses, routes, links, etc., which are then merged and applied according to the rules described above.

Operators are configured with OperatorSpec resources which describe when operators should run and additional configuration for the operator:

# talosctl get operatorspecs -o yaml
node: 172.20.0.2
metadata:
    namespace: network
    type: OperatorSpecs.net.talos.dev
    id: dhcp4/eth0
    version: 1
    owner: network.OperatorConfigController
    phase: running
    created: 2021-06-29T20:23:18Z
    updated: 2021-06-29T20:23:18Z
spec:
    operator: dhcp4
    linkName: eth0
    requireUp: true
    dhcp4:
        routeMetric: 1024

OperatorSpec resources are generated by Talos based on machine configuration mostly. DHCP4 operator is created automatically for all physical network links which are not configured explicitly via the kernel command line or the machine configuration. This also means that on the first boot, without a machine configuration, a DHCP request is made on all physical network interfaces by default.

Specs generated by operators are prefixed with the operator ID (dhcp4/eth0 in the example above) in the unmerged network-config namespace:

$ talosctl -n 172.20.0.2 get addressspecs --namespace network-config
NODE         NAMESPACE        TYPE          ID                              VERSION
172.20.0.2   network-config   AddressSpec   dhcp4/eth0/eth0/172.20.0.2/24   1

Other Network Resources

There are some additional resources describing the network subsystem state.

The NodeAddress resource presents node addresses excluding link-local and loopback addresses:

$ talosctl get nodeaddresses
NODE          NAMESPACE   TYPE          ID             VERSION   ADDRESSES
10.100.2.23   network     NodeAddress   accumulative   6         ["10.100.2.23","147.75.98.173","147.75.195.143","192.168.95.64","2604:1380:1:ca00::17"]
10.100.2.23   network     NodeAddress   current        5         ["10.100.2.23","147.75.98.173","192.168.95.64","2604:1380:1:ca00::17"]
10.100.2.23   network     NodeAddress   default        1         ["10.100.2.23"]
  • default is the node default address;
  • current is the set of addresses a node currently has;
  • accumulative is the set of addresses a node had over time (it might include virtual IPs which are not owned by the node at the moment).

NodeAddress resources are used to pick up the default address for etcd peer URL, to populate SANs field in the generated certificates, etc.

Another important resource is Nodename which provides Node name in Kubernetes:

$ talosctl get nodename
NODE          NAMESPACE      TYPE       ID         VERSION   NODENAME
10.100.2.23   controlplane   Nodename   nodename   1         infra-green-cp-mmf7v

Depending on the machine configuration nodename might be just a hostname or the FQDN of the node.

NetworkStatus aggregates the current state of the network configuration:

# talosctl get networkstatus -o yaml
node: 10.100.2.23
metadata:
    namespace: network
    type: NetworkStatuses.net.talos.dev
    id: status
    version: 5
    owner: network.StatusController
    phase: running
    created: 2021-06-24T18:56:00Z
    updated: 2021-06-24T18:56:02Z
spec:
    addressReady: true
    connectivityReady: true
    hostnameReady: true
    etcFilesReady: true

Network Controllers

For each of the six basic resource types, there are several controllers:

  • *StatusController populates *Status resources observing the Linux kernel state.
  • *ConfigController produces the initial unmerged *Spec resources in the network-config namespace based on defaults, kernel command line, and machine configuration.
  • *MergeController merges *Spec resources into the final representation in the network namespace.
  • *SpecController applies merged *Spec resources to the kernel state.

For the network operators:

  • OperatorConfigController produces OperatorSpec resources based on machine configuration and deafauls.
  • OperatorSpecController runs network operators watching OperatorSpec resources and producing various *Spec resources in the network-config namespace.

Configuration Sources

There are several configuration sources for the network configuration, which are described in this section.

Defaults

  • lo interface is assigned addresses 127.0.0.1/8 and ::1/128;
  • hostname is set to the talos-<IP> where IP is the default node address;
  • resolvers are set to 8.8.8.8, 1.1.1.1;
  • time servers are set to pool.ntp.org;
  • DHCP4 operator is run on any physical interface which is not configured explicitly.

Cmdline

The kernel command line is parsed for the following options:

  • ip= option is parsed for node IP, default gateway, hostname, DNS servers, NTP servers;
  • bond= option is parsed for bonding interfaces and their options;
  • talos.hostname= option is used to set node hostname;
  • talos.network.interface.ignore= can be used to make Talos skip network interface configuration completely.

Platform

Platform configuration delivers cloud environment-specific options (e.g. the hostname).

Platform configuration is specific to the environment metadata: for example, on Equinix Metal, Talos automatically configures public and private IPs, routing, link bonding, hostname.

Platform configuration is cached across reboots in /system/state/platform-network.yaml.

Operator

Network operators provide configuration for all basic resource types.

Machine Configuration

The machine configuration is parsed for link configuration, addresses, routes, hostname, resolvers and time servers. Any changes to .machine.network configuration can be applied in immediate mode.

Network Configuration Debugging

Most of the network controller operations and failures are logged to the kernel console, additional logs with debug level are available with talosctl logs controller-runtime command. If the network configuration can’t be established and the API is not available, debug level logs can be sent to the console with debug: true option in the machine configuration.

6.8 - Network Connectivity

Description of the Networking Connectivity needed by Talos Linux

Configuring Network Connectivity

The simplest way to deploy Talos is by ensuring that all the remote components of the system (talosctl, the control plane nodes, and worker nodes) all have layer 2 connectivity. This is not always possible, however, so this page lays out the minimal network access that is required to configure and operate a talos cluster.

Note: These are the ports required for Talos specifically, and should be configured in addition to the ports required by kubernetes. See the kubernetes docs for information on the ports used by kubernetes itself.

Control plane node(s)

ProtocolDirectionPort RangePurposeUsed By
TCPInbound50000*apidtalosctl
TCPInbound50001*trustdControl plane nodes, worker nodes

Ports marked with a * are not currently configurable, but that may change in the future. Follow along here.

Worker node(s)

ProtocolDirectionPort RangePurposeUsed By
TCPInbound50000*apidControl plane nodes

Ports marked with a * are not currently configurable, but that may change in the future. Follow along here.

6.9 - Discovery

Discover how Sidero Labs implements Talos node discovery.

We maintain a public discovery service whereby members of your cluster can use a shared key that is globally unique to coordinate the most basic connection information (i.e. the set of possible “endpoints”, or IP:port pairs). We call this data “affiliate data.”

Note: If KubeSpan is enabled the data has the addition of the WireGuard public key.

Before sending data to the discovery service, Talos will encrypt the affiliate data with AES-GCM encryption and separately encrypt endpoints with AES in ECB mode so that endpoints coming from different sources can be deduplicated server-side. Each node submits its data encrypted plus it submits the endpoints it sees from other peers to the discovery service. The discovery service aggregates the data, deduplicates the endpoints, and sends updates to each connected peer. Each peer receives information back about other affiliates from the discovery service, decrypts it and uses it to drive KubeSpan and cluster discovery.

The discovery service has no persistence. Data is stored in memory only with a TTL set by the clients (i.e. Talos). The cluster ID is used as a key to select the affiliates (so that different clusters see different affiliates).

To summarize, the discovery service knows the client version, cluster ID, the number of affiliates, some encrypted data for each affiliate, and a list of encrypted endpoints.

6.10 - KubeSpan

Understand more about KubeSpan for Talos Linux.

WireGuard Peer Discovery

The key pieces of information needed for WireGuard generally are:

  • the public key of the host you wish to connect to
  • an IP address and port of the host you wish to connect to

The latter is really only required of one side of the pair. Once traffic is received, that information is known and updated by WireGuard automatically and internally.

For Kubernetes, though, this is not quite sufficient. Kubernetes also needs to know which traffic goes to which WireGuard peer. Because this information may be dynamic, we need a way to be able to constantly keep this information up to date.

If we have a functional connection to Kubernetes otherwise, it’s fairly easy: we can just keep that information in Kubernetes. Otherwise, we have to have some way to discover it.

In our solution, we have a multi-tiered approach to gathering this information. Each tier can operate independently, but the amalgamation of the tiers produces a more robust set of connection criteria.

For this discussion, we will point out two of these tiers:

  • an external service
  • a Kubernetes-based system

See discovery service to learn more about the external service.

The Kubernetes-based system utilises annotations on Kubernetes Nodes which describe each node’s public key and local addresses.

On top of this, we also optionally route Pod subnets. This is often (maybe even usually) taken care of by the CNI, but there are many situations where the CNI fails to be able to do this itself, across networks.

NAT, Multiple Routes, Multiple IPs

One of the difficulties in communicating across networks is that there is often not a single address and port which can identify a connection for each node on the system. For instance, a node sitting on the same network might see its peer as 192.168.2.10, but a node across the internet may see it as 2001:db8:1ef1::10.

We need to be able to handle any number of addresses and ports, and we also need to have a mechanism to try them. WireGuard only allows us to select one at a time.

For our implementation, then, we have built a controller which continuously discovers and rotates these IP:port pairs until a connection is established. It then starts trying again if that connection ever fails.

Packet Routing

After we have established a WireGuard connection, our work is not done. We still have to make sure that the right packets get sent to the WireGuard interface.

WireGuard supplies a convenient facility for tagging packets which come from it, which is great. But in our case, we need to be able to allow traffic which both does not come from WireGuard and also is not destined for another Kubernetes node to flow through the normal mechanisms.

Unlike many corporate or privacy-oriented VPNs, we need to allow general internet traffic to flow normally.

Also, as our cluster grows, this set of IP addresses can become quite large and quite dynamic. This would be very cumbersome and slow in iptables. Luckily, the kernel supplies a convenient mechanism by which to define this arbitrarily large set of IP addresses: IP sets.

Talos collects all of the IPs and subnets which are considered “in-cluster” and maintains these in the kernel as an IP set.

Now that we have the IP set defined, we need to tell the kernel how to use it.

The traditional way of doing this would be to use iptables. However, there is a big problem with IPTables. It is a common namespace in which any number of other pieces of software may dump things. We have no surety that what we add will not be wiped out by something else (from Kubernetes itself, to the CNI, to some workload application), be rendered unusable by higher-priority rules, or just generally cause trouble and conflicts.

Instead, we use a three-pronged system which is both more foundational and less centralised.

NFTables offers a separately namespaced, decentralised way of marking packets for later processing based on IP sets. Instead of a common set of well-known tables, NFTables uses hooks into the kernel’s netfilter system, which are less vulnerable to being usurped, bypassed, or a source of interference than IPTables, but which are rendered down by the kernel to the same underlying XTables system.

Our NFTables system is where we store the IP sets. Any packet which enters the system, either by forward from inside Kubernetes or by generation from the host itself, is compared against a hash table of this IP set. If it is matched, it is marked for later processing by our next stage. This is a high-performance system which exists fully in the kernel and which ultimately becomes an eBPF program, so it scales well to hundreds of nodes.

The next stage is the kernel router’s route rules. These are defined as a common ordered list of operations for the whole operating system, but they are intended to be tightly constrained and are rarely used by applications in any case. The rules we add are very simple: if a packet is marked by our NFTables system, send it to an alternate routing table.

This leads us to our third and final stage of packet routing. We have a custom routing table with two rules:

  • send all IPv4 traffic to the WireGuard interface
  • send all IPv6 traffic to the WireGuard interface

So in summary, we:

  • mark packets destined for Kubernetes applications or Kubernetes nodes
  • send marked packets to a special routing table
  • send anything which is sent to that routing table through the WireGuard interface

This gives us an isolated, resilient, tolerant, and non-invasive way to route Kubernetes traffic safely, automatically, and transparently through WireGuard across almost any set of network topologies.

Design Decisions

Routing

Routing for Wireguard is a touch complicated when the set of possible peer endpoints includes at least one member of the set of destinations. That is, packets from Wireguard to a peer endpoint should not be sent to Wireguard, lest a loop be created.

In order to handle this situation, Wireguard provides the ability to mark packets which it generates, so their routing can be handled separately.

In our case, though, we actually want the inverse of this: we want to route Wireguard packets however the normal networking routes and rules say they should be routed, while packets destined for the other side of Wireguard Peers should be forced into Wireguard interfaces.

While IP Rules allow you to invert matches, they do not support matching based on IP sets. That means, to use simple rules, we would have to add a rule for each destination, which could reach into hundreds or thousands of rules to manage. This is not really much of a performance issue, but it is a management issue, since it is expected that we would not be the only manager of rules in the system, and rules offer no facility to tag for ownership.

IP Sets are supported by IPTables, and we could integrate there. However, IPTables exists in a global namespace, which makes it fragile having multiple parties manipulating it. The newer NFTables replacement for IPTables, though, allows users to independently hook into various points of XTables, keeping all such rules and sets independent. This means that regardless of what CNIs or other user-side routing rules may do, our KubeSpan setup will not be messed up.

Therefore, we utilise NFTables (which natively supports IP sets and owner grouping) instead, to mark matching traffic which should be sent to the Wireguard interface. This way, we can keep all our KubeSpan set logic in one place, allowing us to simply use a single ip rule match: for our fwmark, and sending those matched packets to a separate routing table with one rule: default to the wireguard interface.

So we have three components:

  1. A routing table for Wireguard-destined packets
  2. An NFTables table which defines the set of destinations packets to which will be marked with our firewall mark.
    • Hook into PreRouting (type Filter)
    • Hook into Outgoing (type Route)
  3. One IP Rule which sends packets marked with our firewall mark to our Wireguard routing table.

Routing Table

The routing table (number 180 by default) is simple, containing a single route for each family: send everything through the Wireguard interface.

NFTables

The logic inside NFTables is fairly simple. First, everything is compiled into a single table: talos_kubespan.

Next, two chains are set up: one for the prerouting hook (kubespan_prerouting) and the other for the outgoing hook (kubespan_outgoing).

We define two sets of target IP prefixes: one for IPv6 (kubespan_targets_ipv6) and the other for IPv4 (kubespan_targets_ipv4).

Last, we add rules to each chain which basically specify:

  1. If the packet is marked as from Wireguard, just accept it and terminate the chain.
  2. If the packet matches an IP in either of the target IP sets, mark that packet with the to Wireguard mark.

Rules

There are two route rules defined: one to match IPv6 packets and the other to match IPv4 packets.

These rules say the same thing for each: if the packet is marked that it should go to Wireguard, send it to the Wireguard routing table.

Firewall Mark

KubeSpan is using only two bits of the firewall mark with the mask 0x00000060.

Note: if other software on the node is using the bits 0x60 of the firewall mark, this might cause conflicts and break KubeSpan.

At the moment of the writing, it was confirmed that Calico CNI is using bits 0xffff0000 and Cilium CNI is using bits 0xf00, so KubeSpan is compatible with both. Flannel CNI doesn’t use firewall mark at all.

In the routing rules table, we match on the mark 0x40 with the mask 0x60:

32500: from all fwmark 0x40/0x60 lookup 180

In the NFTables table, we match with the same mask 0x60 and we set the mask by only modifying bits from the 0x60 mask:

meta mark & 0x00000060 == 0x00000020 accept
ip daddr @kubespan_targets_ipv4 meta mark set meta mark & 0xffffffdf | 0x00000040 accept
ip6 daddr @kubespan_targets_ipv6 meta mark set meta mark & 0xffffffdf | 0x00000040 accept

6.11 - talosctl

The design and use of the Talos Linux control application.

The talosctl tool packs a lot of power into a small package. It acts as a reference implementation for the Talos API, but it also handles a lot of conveniences for the use of Talos and its clusters.

Video Walkthrough

To see some live examples of talosctl usage, view the following video:

Client Configuration

Talosctl configuration is located in $XDG_CONFIG_HOME/talos/config.yaml if $XDG_CONFIG_HOME is defined. Otherwise it is in $HOME/.talos/config. The location can always be overridden by the TALOSCONFIG environment variable or the --talosconfig parameter.

Like kubectl, talosctl uses the concept of configuration contexts, so any number of Talos clusters can be managed with a single configuration file. Unlike kubectl, it also comes with some intelligent tooling to manage the merging of new contexts into the config. The default operation is a non-destructive merge, where if a context of the same name already exists in the file, the context to be added is renamed by appending an index number. You can easily overwrite instead, as well. See the talosctl config help for more information.

Endpoints and Nodes

Endpoints and Nodes

The endpoints are the communication endpoints to which the client directly talks. These can be load balancers, DNS hostnames, a list of IPs, etc. Further, if multiple endpoints are specified, the client will automatically load balance and fail over between them. In general, it is recommended that these point to the set of control plane nodes, either directly or through a reverse proxy or load balancer.

Each endpoint will automatically proxy requests destined to another node through it, so it is not necessary to change the endpoint configuration just because you wish to talk to a different node within the cluster.

Endpoints do, however, need to be members of the same Talos cluster as the target node, because these proxied connections reply on certificate-based authentication.

The node is the target node on which you wish to perform the API call. While you can configure the target node (or even set of target nodes) inside the ’talosctl’ configuration file, it is often useful to simply and explicitly declare the target node(s) using the -n or --nodes command-line parameter.

Keep in mind, when specifying nodes that their IPs and/or hostnames are as seen by the endpoint servers, not as from the client. This is because all connections are proxied first through the endpoints.

Kubeconfig

The configuration for accessing a Talos Kubernetes cluster is obtained with talosctl. By default, talosctl will safely merge the cluster into the default kubeconfig. Like talosctl itself, in the event of a naming conflict, the new context name will be index-appended before insertion. The --force option can be used to overwrite instead.

You can also specify an alternate path by supplying it as a positional parameter.

Thus, like Talos clusters themselves, talosctl makes it easy to manage any number of kubernetes clusters from the same workstation.

Commands

Please see the CLI reference for the entire list of commands which are available from talosctl.

6.12 - FAQs

Frequently Asked Questions about Talos Linux.

How is Talos different from other container optimized Linux distros?

Talos shares a lot of attributes with other distros, but there are some important differences. Talos integrates tightly with Kubernetes, and is not meant to be a general-purpose operating system. The most important difference is that Talos is fully controlled by an API via a gRPC interface, instead of an ordinary shell. We don’t ship SSH, and there is no console access. Removing components such as these has allowed us to dramatically reduce the footprint of Talos, and in turn, improve a number of other areas like security, predictability, reliability, and consistency across platforms. It’s a big change from how operating systems have been managed in the past, but we believe that API-driven OSes are the future.

Why no shell or SSH?

Since Talos is fully API-driven, all maintenance and debugging operations should be possible via the OS API. We would like for Talos users to start thinking about what a “machine” is in the context of a Kubernetes cluster. That is, that a Kubernetes cluster can be thought of as one massive machine, and the nodes are merely additional, undifferentiated resources. We don’t want humans to focus on the nodes, but rather on the machine that is the Kubernetes cluster. Should an issue arise at the node level, talosctl should provide the necessary tooling to assist in the identification, debugging, and remediation of the issue. However, the API is based on the Principle of Least Privilege, and exposes only a limited set of methods. We envision Talos being a great place for the application of control theory in order to provide a self-healing platform.

Why the name “Talos”?

Talos was an automaton created by the Greek God of the forge to protect the island of Crete. He would patrol the coast and enforce laws throughout the land. We felt it was a fitting name for a security focused operating system designed to run Kubernetes.

Why does Talos rely on a separate configuration from Kubernetes?

The talosconfig file contains client credentials to access the Talos Linux API. Sometimes Kubernetes might be down for a number of reasons (etcd issues, misconfiguration, etc.), while Talos API access will always be available. The Talos API is a way to access the operating system and fix issues, e.g. fixing access to Kubernetes. When Talos Linux is running fine, using the Kubernetes APIs (via kubeconfig) is all you should need to deploy and manage Kubernetes workloads.

6.13 - Knowledge Base

Recipes for common configuration tasks with Talos Linux.

Disabling GracefulNodeShutdown on a node

Talos Linux enables Graceful Node Shutdown Kubernetes feature by default.

If this feature should be disabled, modify the kubelet part of the machine configuration with:

machine:
  kubelet:
    extraArgs:
      feature-gates: GracefulNodeShutdown=false
    extraConfig:
      shutdownGracePeriod: 0s
      shutdownGracePeriodCriticalPods: 0s

Generating Talos Linux ISO image with custom kernel arguments

Pass additional kernel arguments using --extra-kernel-arg flag:

$ docker run --rm -i ghcr.io/siderolabs/imager:v1.2.8 iso --arch amd64 --tar-to-stdout --extra-kernel-arg console=ttyS1 --extra-kernel-arg console=tty0 | tar xz
2022/05/25 13:18:47 copying /usr/install/amd64/vmlinuz to /mnt/boot/vmlinuz
2022/05/25 13:18:47 copying /usr/install/amd64/initramfs.xz to /mnt/boot/initramfs.xz
2022/05/25 13:18:47 creating grub.cfg
2022/05/25 13:18:47 creating ISO

ISO will be output to the file talos-<arch>.iso in the current directory.

Logging Kubernetes audit logs with loki

If using loki-stack helm chart to gather logs from the Kubernetes cluster, you can use the helm values to configure loki-stack to log Kubernetes API server audit logs:

promtail:
  extraArgs:
    - -config.expand-env
  # this is required so that the promtail process can read the kube-apiserver audit logs written as `nobody` user
  containerSecurityContext:
    capabilities:
      add:
        - DAC_READ_SEARCH
  extraVolumes:
    - name: audit-logs
      hostPath:
        path: /var/log/audit/kube
  extraVolumeMounts:
    - name: audit-logs
      mountPath: /var/log/audit/kube
      readOnly: true
  config:
    snippets:
      extraScrapeConfigs: |
        - job_name: auditlogs
          static_configs:
            - targets:
                - localhost
              labels:
                job: auditlogs
                host: ${HOSTNAME}
                __path__: /var/log/audit/kube/*.log        

Setting CPU scaling governor

While its possible to set CPU scaling governor via .machine.sysfs it’s sometimes cumbersome to set it for all CPU’s individually. A more elegant approach would be set it via a kernel commandline parameter. This also means that the options are applied way early in the boot process.

This can be set in the machineconfig via the snippet below:

machine:
  install:
    extraKernelArgs:
      - cpufreq.default_governor=performance

Note: Talos needs to be upgraded for the extraKernelArgs to take effect.

Disable admissionControl on control plane nodes

Talos Linux enables admission control in the API Server by default.

Although it is not recommended from a security point of view, admission control can be removed by patching your control plane machine configuration:

talosctl gen config \
    my-cluster https://mycluster.local:6443 \
    --config-patch-control-plane '[{"op": "remove", "path": "/cluster/apiServer/admissionControl"}]'