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Showing content from http://cloud.google.com/code/docs/intellij/create-configure-gke-cluster below:

Configure a GKE cluster in Cloud Code for IntelliJ

Configure a GKE cluster in Cloud Code for IntelliJ

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With Cloud Code, you can create a Kubernetes cluster with Google Kubernetes Engine (GKE).

Note: For developing and testing an app, create and run on a non-production cluster. For changes that will be rolled out to production, use an automated CI/CD workflow. Create a GKE cluster and add it to your KubeConfig

Cloud Code opens the Google Cloud console so that you can quickly create a cluster:

  1. To open the Kubernetes Explorer, click Kubernetes Explorer or navigate to Tools > Cloud Code > Kubernetes > View Cluster Explorer.

  2. In the header of the Kubernetes Explorer pane, click + Connect to a GKE Cluster.

  3. Choose Create a new GKE Cluster or Create a new GKE Autopilot cluster. For more information on which mode to choose, see Comparing Autopilot and Standard modes.

  4. If prompted, click Open to permit Cloud Code to open the Google Cloud console.

  5. In Google Cloud console, choose any configuration options that you want to customize and then click Create.

  6. After the cluster is created, in Cloud Code, in the Kubernetes explorer, click the Refresh icon.

  7. After the name of your new cluster appears in the list, click the cluster name. Your new cluster is added to the configuration and set as the default context.

Work with an existing GKE cluster

If you have an existing Standard or Autopilot GKE cluster, you can set it as your active cluster and work with it using Cloud Code.

  1. In the header of the Kubernetes Explorer pane, click + Add GKE Cluster.
  2. Click Google Kubernetes Engine.
  3. Click your cluster name. Your cluster is added to the KubeConfig.
Set a cluster as the default context

The active cluster is the cluster that your application is deployed to by default.

In the Kubernetes Explorer, right-click a cluster and then click Set as Current Context.

Run an application on GKE

To run or debug an application on GKE, you'll need to define the container image repository for your project.

To learn more, read about storing your container images.

Remove a cluster from your KubeConfig

After you remove a cluster from your KubeConfig, the cluster is not available to deploy to.

In the Kubernetes Explorer, right-click a cluster and then click Remove From KubeConfig.

Create and add a cluster from another cloud provider

If you're using an on-premises cluster or a cluster from another provider such as Azure or AWS, use the provider's tools to create the cluster and add it to your KubeConfig.

What's next Get support

To submit feedback or report an issue in your IntelliJ IDE, go to

Tools

>

Cloud Code

>

Help / About

>

Submit feedback or report an issue

to report an issue on

GitHub

.

Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

Last updated 2025-08-07 UTC.

[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["Cloud Code facilitates the creation of a Kubernetes cluster using Google Kubernetes Engine (GKE) directly from the Google Cloud console."],["Existing Standard or Autopilot GKE clusters can be connected and managed within Cloud Code, and any cluster can be set as the default context for application deployment."],["Cloud Code allows for the management of cluster connections, including adding, removing, and setting the active cluster within the KubeConfig."],["Users can utilize clusters from other providers, such as Azure or AWS, by creating them with the respective provider's tools and then adding them to their KubeConfig."],["Cloud code offers features for advanced cluster management, such as organizing access with kubeconfig files, developing and debugging microservices with Skaffold, and using file sync and hot reloading for rapid development."]]],[]]


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