Manage Kubernetes clusters in Cloud Code for VS Code

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With Cloud Code, you can create a Kubernetes cluster with Google Kubernetes Engine (GKE) or minikube. If you're using Docker Desktop, you can also work with a local cluster.

Creating a GKE cluster and adding it to your KubeConfig

To create a cluster:

  1. Click Cloud Code and then expand the Kubernetes section.
  2. Click Add a Cluster to the KubeConfig.
  3. Select Google Kubernetes Engine and then select Yes to enable container GCP API under your project.
  4. Choose Standard or Autopilot. For more information, see Comparing Autopilot and Standard modes.
  5. If prompted, click Open to permit Cloud Code to open the Google Cloud console.
  6. In Google Cloud console, choose any configuration options that you want to customize and then click Create.
  7. After the cluster is created, in VS Code, click Refresh Kubernetes cluster view Refresh.
  8. 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.

Tip: To create a Kubernetes cluster using the command palette, launch the command palette (press Ctrl/Cmd+Shift+P or click View > Command Palette) and then run the Cloud Code: Create GKE cluster command.

Working 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. Click Cloud Code and then expand the Kubernetes section.
  2. Click Add a Cluster to the KubeConfig.
  3. Click Google Kubernetes Engine.
  4. Click your cluster name. Your cluster is added to the KubeConfig.

Setting a cluster as the default context

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

  1. Click Cloud Code and then expand the Kubernetes section.
  2. Right-click a cluster and then click Set as Active Cluster.

Removing a cluster from your KubeConfig

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

  1. Click Cloud Code and then expand the Kubernetes section.
  2. Right-click a cluster and then click Remove Context Under Cluster.

Starting a minikube cluster

Cloud Code automatically installs and manages minikube. If you opted out of dependency management, add the minikube binary to your PATH.

  1. Launch the Command Palette (press Ctrl/Cmd+Shift+P or click View > Command Palette) and then run the Cloud Code: Control minikube command.
  2. After the Choose a Minikube cluster (profile) to control option populates, click minikube and then click Start.

Pausing or stopping a minikube cluster

  1. Launch the Command Palette (press Ctrl/Cmd+Shift+P or click View > Command Palette) and then run the Cloud Code: Control minikube command.
  2. After the Choose a Minikube cluster (profile) to control option populates, click minikube and then click Stop or Pause.

Opening an interactive terminal to a container

  1. Click Cloud Code and then expand the Kubernetes section.
  2. Expand your minikube cluster, expand Pods, and then expand Containers.
  3. Right-click a container and then click Get Terminal.

Opening an external IP address

  1. Click Cloud Code and then expand the Kubernetes section.
  2. Expand your minikube cluster and then expand Services.
  3. Expand External IPs, right-click an IP address, and then click Open Address.
  4. Click Open.

Creating and adding 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.

Working with local clusters

In addition to minikube, you can work with Cloud Code if you're using Docker Desktop (for Mac or Windows).

To get Cloud Code working with a local cluster, make sure that your default configuration (for example, ~/.kube/config) contains your local cluster. This cluster must be set as the current context.

For example, if you were using a local cluster, docker-for-desktop, with Docker Desktop, set your preferred cluster by running the following command:

kubectl config use-context docker-for-desktop

Getting Support

To send feedback, report issues on GitHub, or ask a question on Stack Overflow.