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deploying-to-google-kubernetes-engine.md

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titleintroredirect_fromversionstypetopicsshortTitle
Deploying to Google Kubernetes Engine
You can deploy to Google Kubernetes Engine as part of your continuous deployment (CD) workflows.
/actions/guides/deploying-to-google-kubernetes-engine
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tutorial
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Google Kubernetes Engine
Deploy to Google Kubernetes Engine

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Introduction

This guide explains how to use {% data variables.product.prodname_actions %} to build a containerized application, push it to Google Container Registry (GCR), and deploy it to Google Kubernetes Engine (GKE) when there is a push to the main branch.

GKE is a managed Kubernetes cluster service from Google Cloud that can host your containerized workloads in the cloud or in your own datacenter. For more information, see Google Kubernetes Engine.

Note

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Prerequisites

Before you proceed with creating the workflow, you will need to complete the following steps for your Kubernetes project. This guide assumes the root of your project already has a Dockerfile and a Kubernetes Deployment configuration file.

Creating a GKE cluster

To create the GKE cluster, you will first need to authenticate using the gcloud CLI. For more information on this step, see the following articles:

For example:

$ gcloud container clusters create $GKE_CLUSTER \ --project=$GKE_PROJECT \ --zone=$GKE_ZONE

Enabling the APIs

Enable the Kubernetes Engine and Container Registry APIs. For example:

$ gcloud services enable \ containerregistry.googleapis.com \ container.googleapis.com

Configuring a service account and storing its credentials

This procedure demonstrates how to create the service account for your GKE integration. It explains how to create the account, add roles to it, retrieve its keys, and store them as a base64-encoded {% ifversion fpt or ghec %}encrypted {% endif %}repository secret named GKE_SA_KEY.

  1. Create a new service account:

    gcloud iam service-accounts create $SA_NAME

  2. Retrieve the email address of the service account you just created:

    gcloud iam service-accounts list

  3. Add roles to the service account.

    [!NOTE] Apply more restrictive roles to suit your requirements.

    gcloud projects add-iam-policy-binding $GKE_PROJECT \ --member=serviceAccount:$SA_EMAIL \ --role=roles/container.admin gcloud projects add-iam-policy-binding $GKE_PROJECT \ --member=serviceAccount:$SA_EMAIL \ --role=roles/storage.admin gcloud projects add-iam-policy-binding $GKE_PROJECT \ --member=serviceAccount:$SA_EMAIL \ --role=roles/container.clusterViewer

  4. Download the JSON keyfile for the service account:

    gcloud iam service-accounts keys create key.json --iam-account=$SA_EMAIL

  5. Store the service account key as a secret named GKE_SA_KEY:

    export GKE_SA_KEY=$(cat key.json | base64)

    For more information about how to store a secret, see AUTOTITLE.

Storing your project name

Store the name of your project as a secret named GKE_PROJECT. For more information about how to store a secret, see AUTOTITLE.

(Optional) Configuring kustomize

Kustomize is an optional tool used for managing YAML specs. After creating a kustomization file, the workflow below can be used to dynamically set fields of the image and pipe in the result to kubectl. For more information, see kustomize usage.

(Optional) Configure a deployment environment

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Creating the workflow

Once you've completed the prerequisites, you can proceed with creating the workflow.

The following example workflow demonstrates how to build a container image and push it to GCR. It then uses the Kubernetes tools (such as kubectl and kustomize) to pull the image into the cluster deployment.

Under the env key, change the value of GKE_CLUSTER to the name of your cluster, GKE_ZONE to your cluster zone, DEPLOYMENT_NAME to the name of your deployment, and IMAGE to the name of your image.

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{% data reusables.actions.actions-not-certified-by-github-comment %}{% data reusables.actions.actions-use-sha-pinning-comment %}name: Build and Deploy to GKEon: push: branches: - mainenv: PROJECT_ID: {% raw %}${{ secrets.GKE_PROJECT }}{% endraw %}GKE_CLUSTER: cluster-1 # Add your cluster name here.GKE_ZONE: us-central1-c # Add your cluster zone here.DEPLOYMENT_NAME: gke-test # Add your deployment name here.IMAGE: static-sitejobs: setup-build-publish-deploy: name: Setup, Build, Publish, and Deployruns-on: ubuntu-latestenvironment: productionsteps: - name: Checkoutuses: {% data reusables.actions.action-checkout %}# Setup gcloud CLI - uses: google-github-actions/setup-gcloud@1bee7de035d65ec5da40a31f8589e240eba8fde5with: service_account_key: {% raw %}${{ secrets.GKE_SA_KEY }}{% endraw %}project_id: {% raw %}${{ secrets.GKE_PROJECT }}{% endraw %}# Configure Docker to use the gcloud command-line tool as a credential# helper for authentication - run: |- gcloud --quiet auth configure-docker# Get the GKE credentials so we can deploy to the cluster - uses: google-github-actions/get-gke-credentials@db150f2cc60d1716e61922b832eae71d2a45938fwith: cluster_name: {% raw %}${{ env.GKE_CLUSTER }}{% endraw %}location: {% raw %}${{ env.GKE_ZONE }}{% endraw %}credentials: {% raw %}${{ secrets.GKE_SA_KEY }}{% endraw %}# Build the Docker image - name: Buildrun: |- docker build \ --tag "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA" \ --build-arg GITHUB_SHA="$GITHUB_SHA" \ --build-arg GITHUB_REF="$GITHUB_REF" \ .# Push the Docker image to Google Container Registry - name: Publishrun: |- docker push "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA"# Set up kustomize - name: Set up Kustomizerun: |- curl -sfLo kustomize https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64 chmod u+x ./kustomize# Deploy the Docker image to the GKE cluster - name: Deployrun: |- ./kustomize edit set image gcr.io/PROJECT_ID/IMAGE:TAG=gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA ./kustomize build . | kubectl apply -f - kubectl rollout status deployment/$DEPLOYMENT_NAME kubectl get services -o wide

Additional resources

For more information on the tools used in these examples, see the following documentation:

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