Deploying to Google Kubernetes Engine

Introduction

This guide explains how to use GitHub 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.

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. For an example, see google-github-actions.

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:

• gcloud auth login
• gcloud CLI
• gcloud CLI and Cloud SDK

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 encrypted 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 "Encrypted secrets."

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 "Encrypted secrets."

(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

Los entornos se usan para describir un destino de implementación general como production, staging o development. Cuando se despliega un flujo de trabajo de GitHub Actions en un ambiente, dicho ambiente se desplegará en la página principal del repositorio. Puedes utilizar ambientes para que requieran la aprobación para que un job proceda, restringir qué ramas pueden activar un flujo de trabajo o limitar el acceso a los secretos. Para obtener más información sobre la creación de entornos, consulte"Uso de entornos para la implementación".

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.

Si ha configurado un entorno de implementación, cambie el valor de environment por el nombre del entorno. Si no ha configurado un entorno, borre la clave environment.

# Este flujo de trabajo usa acciones que no GitHub no certifica.
# Estas las proporcionan entidades terceras y las gobiernan
# condiciones de servicio, políticas de privacidad y documentación de soporte
# en línea.

# GitHub recomienda anclar acciones a un SHA de confirmación.
# Para obtener una versión más reciente, debes actualizar el SHA.
# También puedes hacer referencia a una etiqueta o rama, pero la acción puede cambiar sin ninguna advertencia.

name: Build and Deploy to GKE

on:
  push:
    branches:
      - main

env:
  PROJECT_ID: ${{ secrets.GKE_PROJECT }}
  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-site

jobs:
  setup-build-publish-deploy:
    name: Setup, Build, Publish, and Deploy
    runs-on: ubuntu-latest
    environment: production

    steps:
    - name: Checkout
      uses: actions/checkout@v2

    # Setup gcloud CLI
    - uses: google-github-actions/setup-gcloud@94337306dda8180d967a56932ceb4ddcf01edae7
      with:
        service_account_key: ${{ secrets.GKE_SA_KEY }}
        project_id: ${{ secrets.GKE_PROJECT }}

    # 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@fb08709ba27618c31c09e014e1d8364b02e5042e
      with:
        cluster_name: ${{ env.GKE_CLUSTER }}
        location: ${{ env.GKE_ZONE }}
        credentials: ${{ secrets.GKE_SA_KEY }}

    # Build the Docker image
    - name: Build
      run: |-
        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: Publish
      run: |-
        docker push "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA"

    # Set up kustomize
    - name: Set up Kustomize
      run: |-
        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: Deploy
      run: |-
        ./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:

• For the full starter workflow, see the "Build and Deploy to GKE" workflow.
• For more starter workflows and accompanying code, see Google's GitHub Actions example workflows.
• The Kubernetes YAML customization engine: Kustomize.
• "Deploying a containerized web application" in the Google Kubernetes Engine documentation.