Upgrading Kubernetes
This guide covers upgrading Kubernetes on Talos Linux clusters.
For a list of Kubernetes versions compatible with each Talos release, see the Support Matrix.
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 1.27.4
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 1.27.4 --dry-run
WARNING: found resources which are going to be deprecated/migrated in the version 1.27.4
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 1.26.3
checking for resource APIs to be deprecated in version 1.27.4
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 "1.27.4"
> "172.20.0.2": starting update
> update kube-apiserver: v1.26.3 -> 1.27.4
> skipped in dry-run
> "172.20.0.3": starting update
> update kube-apiserver: v1.26.3 -> 1.27.4
> skipped in dry-run
> "172.20.0.4": starting update
> update kube-apiserver: v1.26.3 -> 1.27.4
> skipped in dry-run
updating "kube-controller-manager" to version "1.27.4"
> "172.20.0.2": starting update
> update kube-controller-manager: v1.26.3 -> 1.27.4
> 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 v1.26.3 to v1.27.4 run:
$ talosctl --nodes <controlplane node> upgrade-k8s --to 1.27.4
automatically detected the lowest Kubernetes version 1.26.3
checking for resource APIs to be deprecated in version 1.27.4
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 "1.27.4"
> "172.20.0.2": starting update
> update kube-apiserver: v1.26.3 -> 1.27.4
> "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: v1.26.3 -> 1.27.4
<snip>
This command runs in several phases:
- 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.
- The command updates the
kube-proxy
daemonset with the new image version. - On every node in the cluster, the
kubelet
version is updated. The command then waits for thekubelet
service to be restarted and become healthy. The update is verified by checking theNode
resource state. - 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": "registry.k8s.io/kube-apiserver:v1.27.4"}]'
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: registry.k8s.io/kube-apiserver:v1.27.4
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": "registry.k8s.io/kube-controller-manager:v1.27.4"}]'
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: registry.k8s.io/kube-controller-manager:v1.27.4
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": "registry.k8s.io/kube-scheduler:v1.27.4"}]'
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: registry.k8s.io/kube-scheduler:v1.27.4
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: registry.k8s.io/kube-proxy:v1.27.4
tolerations:
- ...
to:
kind: DaemonSet
...
spec:
...
template:
...
spec:
containers:
- name: kube-proxy
image: registry.k8s.io/kube-proxy:v1.27.4
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:v1.27.4"}]'
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 v1.27.4