Configure cluster access for kubectl

This page explains how to configure cluster access for the kubectl command-line tool for GKE on AWS.

This page is for IT administrators and Operators who want to set up, monitor, and manage cloud infrastructure. To learn more about common roles and example tasks that we reference in Google Cloud content, see Common GKE user roles and tasks.

Overview

To access your GKE on AWS, you need to configure kubectl. You can set a default cluster for kubectl by setting the current context in Kubernetes' kubeconfig file. Additionally, you can run kubectl commands against a specific cluster using the --cluster flag.

For more information about kubeconfig and cluster endpoints, see About Kubeconfig.

Before you begin

If you use the Connect gateway for kubectl access, you must grant admin users who aren't project owners the IAM roles described in Use kubectl with identity from the gcloud CLI.

Check current kubeconfig

This section explains how to check your current kubeconfig.

View kubeconfig contexts

To view your environment's kubeconfig and all of the contexts it contains, run the following command:

kubectl config view

The command returns a list of all clusters for which kubeconfig entries have been generated. If a GKE on AWS cluster is listed, you can run kubectl commands against it in your current environment. Otherwise, you need to generate a kubeconfig entry for the cluster.

View the current context for kubectl

To view the current context that the kubectl command-line tool uses, run the following command:

kubectl config current-context

kubectl outputs the name of the current context.

Generate a kubeconfig entry

To run kubectl commands against GKE clusters, you need to generate a kubeconfig entry. How you generate a kubeconfig file depends on how you want to connect to your cluster. We recommend that you use the Connect gateway. When you use the Connect gateway, the gke-connect-agent Deployment sends requests through Google to the cluster control plane.

To check which kubectl commands are supported by the Connect gateway, see Limitations.

If you want to connect through a private endpoint, you need to have a connection and routing to the control plane endpoint in your AWS Virtual Private Cloud. The cluster's kube-apiserver is part of the control plane. In order to send requests directly to the private endpoint, you might need to widen firewall rules. For more information on connecting to your control plane, see AWS security groups.

gcloudcontainerawsclustersget-credentialsCLUSTER_NAME\
--locationGOOGLE_CLOUD_LOCATION

gcloudcontainerawsclustersget-credentialsCLUSTER_NAME\
--locationGOOGLE_CLOUD_LOCATION\
--private-endpoint

Work with multiple clusters

This section describes how to use kubectl with multiple GKE clusters.

Set a default cluster for kubectl commands

You can switch the current context for kubectl to that cluster by running:

gcloudcontainerawsclustersget-credentialsCLUSTER_NAME\
--locationGOOGLE_CLOUD_LOCATION\

Replace the following:

• CLUSTER_NAME: the name of your cluster
• GOOGLE_CLOUD_LOCATION: the Google Cloud region or zone where your GKE on AWS are managed

For example, consider a project with two clusters, cluster-1 and cluster-2. The current context is cluster-2. To switch the current context from cluster-2 to cluster-1, run the following command:

gcloudcontainerawsclustersget-credentialscluster-1\
--locationGOOGLE_CLOUD_LOCATION

Run individual kubectl commands against a specific cluster

You can run individual kubectl commands against a specific cluster by passing in the name of the cluster as it appears in kubeconfig as the argument to the --cluster flag.

For example, consider an environment with two clusters, cluster-1 and cluster-2, in which the current context is cluster-1. You don't want to change the current context. To get a list of Pod objects on cluster-2 without changing the current context, run the following command:

kubectlgetpod--clustercluster-2