UpCloud
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:
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 $HOME/.config/upctl.yaml
username: your_upcloud_username
password: your_upcloud_password
To use the UpCloud packer plugin, you need to also export these credentials to your
environment variables, by e.g. putting the following in your .bashrc
or .zshrc
export UPCLOUD_USERNAME="<username>"
export UPCLOUD_PASSWORD="<password>"
Next create a config file for packer to use:
# upcloud.pkr.hcl
packer {
required_plugins {
upcloud = {
version = ">=v1.0.0"
source = "github.com/UpCloudLtd/upcloud"
}
}
}
variable "talos_version" {
type = string
default = "v1.4.8"
}
locals {
image = "https://github.com/siderolabs/talos/releases/download/${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-$ID \
--plan 2xCPU-4GB \
--os "Talos (v1.4.8)" \
--user-data "$(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 (v1.4.8)" \
--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