Update your Azure cluster parameters
This page describes how to update your GKE on Azure cluster's settings. You can use these instructions to update any updatable setting in your cluster, including the Kubernetes version. Because upgrading the version is one of the most common cluster update operations, a separate upgrade your cluster page covers how to upgrade a cluster version.
Reasons to update a cluster
You might update a cluster for any of the following reasons:
- To update your cluster's description.
- To update your cluster's annotations.
- To update your cluster's list of administrative users.
- To update your cluster's logging configuration.
- To update your cluster's VM size.
- To update your cluster's AzureClient.
- To update your cluster's Authentication from AzureClient to workload identity federation.
You can also update other fields in your clusters not listed here.
For a complete list of fields you can update, see the
gcloud container azure clusters update
and the
projects.locations.azureClusters.patch
documentation.
Prerequisites
To update any of your cluster's fields, you must have the
gkemulticloud.googleapis.com/azureClusters.update
Identity and Access Management permission.
The update process
The process by which GKE on Azure updates a cluster differs depending on the type of update. For some changes, GKE on Azure can update a cluster without restarting or recreating any resources—for example, updating a cluster's description. GKE on Azure makes these changes immediately.
Other changes require restarting the control plane nodes—for example, updating the VM size or Kubernetes version. For such updates, GKE on Azure performs a "rolling update" consisting of the following steps:
- Choose one control plane instance to update. GKE on Azure updates unhealthy instances, if any, before healthy ones.
- Delete the instance. GKE on Azure recreates the instance and the instance boots with the new configuration.
- Perform health checks on the new instance.
- If the health checks succeed, select another instance and perform the same
steps on it. Repeat this cycle until all instances are restarted or recreated.
If the health check fails, GKE on Azure
places the cluster into a
DEGRADED
state and stops the update. For more information, see the following section.
When an update fails
After an update, GKE on Azure performs a health check on the cluster.
If the health check fails, the cluster is marked as DEGRADED
. You can display
the status of your cluster with the following Google Cloud CLI command:
gcloud container azure clusters describe CLUSTER_NAME \
--location=GOOGLE_CLOUD_LOCATION
Replace the following:
CLUSTER_NAME
: the name of your clusterGOOGLE_CLOUD_LOCATION
: the Google Cloud region that manages your cluster
Update your cluster
You can use either the Google Cloud console, the Google Cloud CLI, or the GKE Multi-Cloud API to update multiple cluster fields at once.
Choose an update method
You can update most fields through either the console, the gcloud CLI, or the GKE Multi-Cloud API. Some fields can only be updated through one mechanism or the other. If you want to use the console to update a cluster, you must first choose and configure an authentication method for logging in to the cluster. For more information, see Connect and authenticate to your cluster.
Console
In the Google Cloud console, go to the Google Kubernetes Engine clusters overview page.
Select the Google Cloud project that the cluster is in.
In the cluster list, select the name of the cluster, and then select View details in the side panel.
On the Details tab, select
Edit on the field that you want to change.For example, to grant cluster administrative privileges to other users select
Edit next to Admin users and enter the email address of the user.When you are finished making changes, select Done.
gcloud
When you update a cluster using the gcloud CLI, you must always
include theCLUSTER_NAME
and
GOOGLE_CLOUD_LOCATION
fields, which tell
GKE on Azure what cluster to update. In the following command, only
include the fields that you want to update; remove the other fields before
running the command.
gcloud container azure clusters update CLUSTER_NAME \
--location=GOOGLE_CLOUD_LOCATION \
--cluster-version=CLUSTER_VERSION \
--admin-users=USERNAME_LIST \
--client=CLIENT_NAME \
--vm-size=VM_SIZE
Replace the following:
CLUSTER_NAME
: the name of your clusterGOOGLE_CLOUD_LOCATION
(required): the supported Google Cloud region that manages your cluster—for example,us-west1
CLUSTER_VERSION
: the new supported cluster versionUSERNAME_LIST
: a comma-separated list of usernames, for example, "kai@example.com,hao@example.com,kalani@example.com". These are the email addresses of the users you're granting administrative privileges on this cluster to. The names in this setting will replace any previous list of admin-users on the cluster.CLIENT_NAME
: your AzureClientVM_SIZE
: the new supported VM size
To update the cluster's Authentication from AzureClient to workload identity federation, run the following command:
gcloud container azure clusters update CLUSTER_NAME \
--location=GOOGLE_CLOUD_LOCATION \
--azure-tenant-id="${TENANT_ID}" \
--azure-application-id="${APPLICATION_ID}" \
--clear-client
API
When you update a cluster using the GKE Multi-Cloud API, you must always
include theCLUSTER_NAME
and
GOOGLE_CLOUD_LOCATION
fields in the HTTP request. These
fields tell GKE on Azure what cluster to update. You must also
include the API endpoint in the request. You create a JSON file with the
fields that you want to update. Only include the fields that you want to
update in the JSON file and in the UPDATE_MASK
.
The following example shows how to update your cluster through the API.
For more information, including the list of fields that you can update, see
the
projects.locations.azureClusters.patch
method documentation.
Create a JSON file named
cluster_update.json
with the fields that you want to update.- When using workload identity federation,
the JSON file should look like this:
{ "description": "CLUSTER_DESCRIPTION", "controlPlane": { "version": "CLUSTER_VERSION", "vm_size": "VM_SIZE }, "azureServicesAuthentication": { "tenantId": "TENANT_ID", "applicationId": "APPLICATION_ID" }, "authorization": { "adminUsers": [ { "username": USERNAME1, "username": USERNAME2, "username": USERNAME3 } ] } }
- When using Azure client,
the JSON file should look like this:
{ "description": "CLUSTER_DESCRIPTION", "controlPlane": { "version": "CLUSTER_VERSION", "vm_size": "VM_SIZE }, "azureClient": "CLIENT_NAME", "authorization": { "adminUsers": [ { "username": USERNAME1, "username": USERNAME2, "username": USERNAME3 } ] } }
Replace the following:
CLUSTER_VERSION
: the new supported cluster version. Note that you must upgrade through all minor versions when upgrading your clusterCLUSTER_DESCRIPTION
: the new cluster descriptionUSERNAME1
,USERNAME2
,USERNAME3
: the email addresses of the users you're granting administrative privileges on this cluster to. The names in these fields will replace any previous list of admin-users on the cluster.CLIENT_NAME
: your AzureClient nameTENANT_ID
: the Azure tenant IDAPPLICATION_ID
: the Azure application ID that was created in Create an Azure Active Directory ApplicationVM_SIZE
: the new VM size
- When using workload identity federation,
the JSON file should look like this:
Update these settings through the GKE Multi-Cloud API with following command.
curl -d @cluster_update.json -X PATCH \ ENDPOINT/projects/PROJECT_ID/locations/GOOGLE_CLOUD_LOCATION/azureClusters/CLUSTER_NAME?update_mask=UPDATE_MASK
Replace the following:
ENDPOINT
(required): Your Google Cloud service endpointPROJECT_ID
(required): Your Google Cloud projectGOOGLE_CLOUD_LOCATION
(required): the supported Google Cloud region that manages your cluster—for example,us-west1
CLUSTER_NAME
(required): Your cluster nameUPDATE_MASK
(required): a comma-separated list of one or more of the following flags, indicating which fields you want to update. In this example, specify the following.- controlPlane.version
- description
- authorization.admin_users
- control_plane.vm_size
- azure_client
- azure_services_authentication.tenant_id
- azure_services_authentication.application_id
To update the cluster's Authentication from AzureClient to
workload identity federation,
add azure_client
, azure_services_authentication.tenant_id
and
azure_services_authentication.application_id
in the field update_mask
.
Update Logging Config
You can update your cluster's Cloud Logging configuration settings with the Google Cloud CLI. To update the logging configuration, run the following command:
gcloud container azure clusters update CLUSTER_NAME \
--location=GOOGLE_CLOUD_LOCATION \
--logging=LOGGING_CONFIG \
Replace the following:
CLUSTER_NAME
: your cluster's nameGOOGLE_CLOUD_LOCATION
: the supported Google Cloud region that manages your cluster—for example,us-west1
LOGGING_CONFIG
: [SYSTEM] or [SYSTEM,WORKLOAD]
What's next
- To update volume KMS keys, see Key rotation
- For more information on updatable fields, see the
gcloud container azure clusters update
reference documentation. - See the
projects.locations.azureClusters.patch
REST API documentation.