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WARNING WARNING WARNING WARNING WARNING

PLEASE NOTE: This document applies to the HEAD of the source tree

If you are using a released version of Kubernetes, you should refer to the docs that go with that version.

The latest 1.0.x release of this document can be found [here](http://releases.k8s.io/release-1.0/docs/admin/cluster-management.md).

Documentation for other releases can be found at releases.k8s.io.

Cluster Management

This document describes several topics related to the lifecycle of a cluster: creating a new cluster, upgrading your cluster's master and worker nodes, performing node maintenance (e.g. kernel upgrades), and upgrading the Kubernetes API version of a running cluster.

Creating and configuring a Cluster

To install Kubernetes on a set of machines, consult one of the existing Getting Started guides depending on your environment.

Upgrading a cluster

The current state of cluster upgrades is provider dependent.

Master Upgrades

Both Google Container Engine (GKE) and Compute Engine Open Source (GCE-OSS) support node upgrades via a Managed Instance Group. Managed Instance Group upgrades sequentially delete and recreate each virtual machine, while maintaining the same Persistent Disk (PD) to ensure that data is retained across the upgrade.

In contrast, the kube-push.sh process used on other platforms attempts to upgrade the binaries in places, without recreating the virtual machines.

Node Upgrades

Node upgrades for GKE and GCE-OSS again use a Managed Instance Group, each node is sequentially destroyed and then recreated with new software. Any Pods that are running on that node need to be controlled by a Replication Controller, or manually re-created after the roll out.

For other platforms, kube-push.sh is again used, performing an in-place binary upgrade on existing machines.

Upgrading Google Container Engine (GKE)

Google Container Engine automatically updates master components (e.g. kube-apiserver, kube-scheduler) to the latest version. It also handles upgrading the operating system and other components that the master runs on.

The node upgrade process is user-initiated and is described in the GKE documentation.

Upgrading open source Google Compute Engine clusters

Upgrades on open source Google Compute Engine (GCE) clusters are controlled by the cluster/gce/upgrade.sh script.

Its usage is as follows:

cluster/gce/upgrade.sh [-M|-N|-P] -l | <release or continuous integration version> | [latest_stable|latest_release|latest_ci]
  Upgrades master and nodes by default
  -M:  Upgrade master only
  -N:  Upgrade nodes only
  -P:  Node upgrade prerequisites only (create a new instance template)
  -l:  Use local(dev) binaries

For example, to upgrade just your master to a specific version (v1.0.2):

cluster/gce/upgrade.sh -M v1.0.2

Alternatively, to upgrade your entire cluster to the latest stable release:

cluster/gce/upgrade.sh latest_stable

Other platforms

The cluster/kube-push.sh script will do a rudimentary update. This process is still quite experimental, we recommend testing the upgrade on an experimental cluster before performing the update on a production cluster.

Maintenance on a Node

If you need to reboot a node (such as for a kernel upgrade, libc upgrade, hardware repair, etc.), and the downtime is brief, then when the Kubelet restarts, it will attempt to restart the pods scheduled to it. If the reboot takes longer, then the node controller will terminate the pods that are bound to the unavailable node. If there is a corresponding replication controller, then a new copy of the pod will be started on a different node. So, in the case where all pods are replicated, upgrades can be done without special coordination, assuming that not all nodes will go down at the same time.

If you want more control over the upgrading process, you may use the following workflow:

Mark the node to be rebooted as unschedulable:

kubectl replace nodes $NODENAME --patch='{"apiVersion": "v1", "spec": {"unschedulable": true}}'

This keeps new pods from landing on the node while you are trying to get them off.

Get the pods off the machine, via any of the following strategies:

  • Wait for finite-duration pods to complete.
  • Delete pods with:
kubectl delete pods $PODNAME

For pods with a replication controller, the pod will eventually be replaced by a new pod which will be scheduled to a new node. Additionally, if the pod is part of a service, then clients will automatically be redirected to the new pod.

For pods with no replication controller, you need to bring up a new copy of the pod, and assuming it is not part of a service, redirect clients to it.

Perform maintenance work on the node.

Make the node schedulable again:

kubectl replace nodes $NODENAME --patch='{"apiVersion": "v1", "spec": {"unschedulable": false}}'

If you deleted the node's VM instance and created a new one, then a new schedulable node resource will be created automatically when you create a new VM instance (if you're using a cloud provider that supports node discovery; currently this is only Google Compute Engine, not including CoreOS on Google Compute Engine using kube-register). See Node for more details.

Advanced Topics

Upgrading to a different API version

When a new API version is released, you may need to upgrade a cluster to support the new API version (e.g. switching from 'v1' to 'v2' when 'v2' is launched)

This is an infrequent event, but it requires careful management. There is a sequence of steps to upgrade to a new API version.

  1. Turn on the new api version.
  2. Upgrade the cluster's storage to use the new version.
  3. Upgrade all config files. Identify users of the old API version endpoints.
  4. Update existing objects in the storage to new version by running cluster/update-storage-objects.sh.
  5. Turn off the old API version.

Turn on or off an API version for your cluster

Specific API versions can be turned on or off by passing --runtime-config=api/ flag while bringing up the API server. For example: to turn off v1 API, pass --runtime-config=api/v1=false. runtime-config also supports 2 special keys: api/all and api/legacy to control all and legacy APIs respectively. For example, for turning off all api versions except v1, pass --runtime-config=api/all=false,api/v1=true. For the purposes of these flags, legacy APIs are those APIs which have been explicitly deprecated (e.g. v1beta3).

Switching your cluster's storage API version

The objects that are stored to disk for a cluster's internal representation of the Kubernetes resources active in the cluster are written using a particular version of the API. When the supported API changes, these objects may need to be rewritten in the newer API. Failure to do this will eventually result in resources that are no longer decodable or usable by the kubernetes API server.

KUBE_API_VERSIONS environment variable for the kube-apiserver binary which controls the API versions that are supported in the cluster. The first version in the list is used as the cluster's storage version. Hence, to set a specific version as the storage version, bring it to the front of list of versions in the value of KUBE_API_VERSIONS. You need to restart the kube-apiserver binary for changes to this variable to take effect.

Switching your config files to a new API version

You can use the kube-version-change utility to convert config files between different API versions.

$ hack/build-go.sh cmd/kube-version-change
$ _output/local/go/bin/kube-version-change -i myPod.v1beta3.yaml -o myPod.v1.yaml

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