TL;DR ☁️ We'll learn how to deploy on Google Cloud Run ✨ We'll learn how to design and implement a modern workflow with GitHub Actions 🤿 We'll see code snippets of real-world workflows If you want to learn how to deploy like Vercel or Netlify with Google Cloud, this is the right place for you. Vercel and Netlify both offer seamless transition from development to shipping your features and they make accessible out of the box. Today we'll be looking into how to design and re-create the live deployment and with and . continuous delivery Deploy Preview Cloud Run GitHub Actions Let's go. The Modern Workflow Design If you are familiar with Vercel or Netlify, you'll notice the principle by default. Your code changes directly go when pushing your commits or merging a pull request to the branch. Whenever you work on a pull request, both platforms create so that you can collect feedback from your reviewers and stakeholders during development. This type of workflow enables us to collaborate early, mitigate errors, and ship fast. trunk-based development live main Deploy Previews To design the workflow, we can break it down to two paths: Production workflow: triggered by events in the branch. push main Preview workflow: triggered by and events in all branches except . push pull_request main Let's look into the first. prod workflow Production Workflow The production workflow does only one thing: live deployment. When a pull request merges into , it triggers the workflow to deploy your production build to . main Cloud Run The workflow looks like this: Set up Google Cloud Authenticate to Google Cloud Setup Google Cloud SDK Authorize to push docker containers to Artifact Registry Push Docker Image to Artifact Registry Generate image tag Build docker container push docker container to registry Deploy Deploy to Cloud Run Set up Google Cloud If you don't have a project on Google Cloud yet, follow to create one. I'll name my project . this guide awesome-project To authenticate the workflow to access Google Cloud, we can use the GitHub Action to create an access token: auth env:
  PROJECT_ID: 'awesome-project'
  SERVICE: 'homepage'
  REGION: 'us-west1' # ☘️Low CO2
  REGISTRY: '[YOUR_REGISTRY_ID]'
  IMAGE_NAME: 'live'
  WORKLOAD_IDENTITY_PROVIDER: '[YOUR_WORKLOAD_PROVIDER_ID]'
  SERVICE_ACCOUNT: '[YOUR_SERVICE_ACCOUNT_ID]'

jobs:
  deploy:
    runs-on: ubuntu-20.04

    steps:
      - name: Checkout
        uses: actions/checkout@v3

      - name: 'Authenticate to Google Cloud'
        uses: 'google-github-actions/auth@v0.4.0'
        id: 'auth'
        with:
          token_format: 'access_token'
          workload_identity_provider: ${{ env.WORKLOAD_IDENTITY_PROVIDER }}
          service_account: ${{ env.SERVICE_ACCOUNT }} Here we are authenticating via . To make it work, we'll need Workload Identity Federation a service account a workload identity provider . to grand IAM roles to the Workload Identity Provider Congratulations, you've done it! It's the most difficult part of the workflow. Now we can set up Cloud SDK and authorize the workflow to be able to push Docker containers to Artifact Registry: steps:
  - name: Set up Cloud SDK
    uses: google-github-actions/setup-gcloud@v0

  - name: Authorize Docker push
    run: gcloud auth configure-docker ${{ env.REGISTRY }} You can follow to set up Artifact Registry for storing Docker containers. this guide Push Docker Image to Artifact Registry We are now able to push containers so let's dockerize your project and tag your image: steps:
  - name: Generate Image Tag
    id: image-tag
    run: |
      image_tag="$REGISTRY/$PROJECT_ID/$SERVICE/$IMAGE_NAME:${GITHUB_SHA::8}"
      echo "tag=$image_tag" >> $GITHUB_OUTPUT

  - name: Build Docker Container
    run: |
      docker build -t ${{ steps.image-tag.outputs.tag }}

  - name: Push Docker Container
    run: |
      docker push ${{ steps.image-tag.outputs.tag }} Deploy Now you are ready to deploy to cloud run using the docker container: steps:
  - name: Deploy to Cloud Run
    run: |
      gcloud run deploy ${{ env.SERVICE }} \
        --platform "managed"
        --region ${{ env.REGION }} \
        --image ${{ steps.image-tag.outputs.tag }} Cloud Run will assign 100% of the traffic to this deployment by default so all visitors will be directed to this revision. In the Cloud Console, you'll find a URL to your Cloud Run deployment. It looks like this: . We'll need it later for our preview workflow. https://homepage-12345abcde-ez.a.run.app The Complete GitHub Actions Production Workflow: prod-ci.yaml name: Production Workflow

on:
  push:
    branches:
      - main

env:
  PROJECT_ID: 'awesome-project'
  SERVICE: 'homepage'
  REGION: 'us-west1' # ☘️Low CO2
  REGISTRY: '[YOUR_REGISTRY_ID]'
  IMAGE_NAME: 'live'
  WORKLOAD_IDENTITY_PROVIDER: '[YOUR_WORKLOAD_PROVIDER_ID]'
  SERVICE_ACCOUNT: '[YOUR_SERVICE_ACCOUNT_ID]'

jobs:
  deploy:
    runs-on: ubuntu-20.04

    steps:
      - name: Checkout
        uses: actions/checkout@v3

      - name: 'Authenticate to Google Cloud'
        uses: 'google-github-actions/auth@v0.4.0'
        id: 'auth'
        with:
          token_format: 'access_token'
          workload_identity_provider: ${{ env.WORKLOAD_IDENTITY_PROVIDER }}
          service_account: ${{ env.SERVICE_ACCOUNT }}

      - name: Set up Cloud SDK
        uses: google-github-actions/setup-gcloud@v0

      - name: Authorize Docker push
        run: gcloud auth configure-docker ${{ env.REGISTRY }}

      - name: Generate Image Tag
        id: image-tag
        run: |
          image_tag="$REGISTRY/$PROJECT_ID/$SERVICE/$IMAGE_NAME:${GITHUB_SHA::8}"
          echo "tag=$image_tag" >> $GITHUB_OUTPUT

      - name: Build Docker Container
        run: |
          docker build -t ${{ steps.image-tag.outputs.tag }}

      - name: Push Docker Container
        run: |
          docker push ${{ steps.image-tag.outputs.tag }}

      - name: Deploy to Cloud Run
        run: |
          gcloud run deploy ${{ env.SERVICE }} \
            --platform "managed"
            --region ${{ env.REGION }} \
            --image ${{ steps.image-tag.outputs.tag }} Preview Workflow The preview workflow is similar to production with a few modifications: Set up Google Cloud Authenticate to Google Cloud Setup Google Cloud SDK Authorize to push docker containers to Artifact Registry Push Docker Image to Artifact Registry Get Task Id from Reference Generate image tag Build docker container push docker container to registry Deploy Deploy revision with tag Comment preview URL in the pull request Let's take a look at the differences. Push Docker Image to Artifact Registry The first difference is tagging the Docker image. In the production workflow, we use a constant in environment variables to tag the production image. However, for previews, we want to use an identifier that represents the pull request. We are using the first 8 characters of the branch name as the identifier: $IMAGE_NAME steps:
  - name: Get Task Id from Reference
  id: task
  run: |
    name="${{ github.ref_name }}"
    lowercase="${name,,}"
    echo "id=${lowercase:0:8}" >> $GITHUB_OUTPUT As an example I'll name the branch . The step will extract the task ID from the branch name. TASK-123-awesome-workflow task task-123 If you are curious about the shell script syntax, check out . Shell Parameter Expansion The identifier is set to be in lowercase because we'll use it for tagging the Cloud Run revision later. The naming convention of is as follows: Cloud Run tags it allows lowercase characters it allows numbers it allows "-" it has a maximum length limit of 63 characters Next we can use the task id to tag the image, build a container, and push to the registry: steps:
  - name: Generate Image Tag
    id: image-tag
    run: |
      image_tag="$REGISTRY/$PROJECT_ID/$SERVICE/${{ steps.task.outputs.id }}:${GITHUB_SHA::8}"
      echo "tag=$image_tag" >> $GITHUB_OUTPUT

  - name: Build Docker Container
    run: |
      docker build -t ${{ steps.image-tag.outputs.tag }}

  - name: Push Docker Container
    run: |
      docker push ${{ steps.image-tag.outputs.tag }} Deploy Now we are ready to deploy the preview. The deployment is similar to live deployment with two differences: Unlike live deployment, we want to assign 0% of the traffic to the preview revision. We want to give the deployment a different URL other than the live URL. We can use and parameters to achieve them: --tag --no-traffic steps:
  - name: Deploy Revision with Tag
      run: |
        gcloud run deploy ${{ env.SERVICE }} \
          --platform "managed" \
          --region ${{ env.REGION }} \
          --image ${{ steps.image-tag.outputs.tag }} \
          --tag pr-${{ steps.task.outputs.id }} \
          --no-traffic After running the step successfully, you'll get the preview URL like this: . https://pr-task-123---homepage-12345abcde-ez.a.run.app Finally, we can post a comment about the preview URL on the pull request: steps:
  - name: Comment Preview URL in PR
    uses: mshick/add-pr-comment@v2
    env:
      GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
    with:
      message: |
        🍿 Successfully deployed preview revision at https://pr-${{ steps.jira.outputs.id }}---homepage-12345abcde-ez.a.run.app
      allow-repeats: false The Complete GitHub Actions Preview Workflow preview.yaml name: Preview Workflow

on:
  push:
    branches-ignore:
      - main
  pull_request:
    branches-ignore:
      - main
  workflow_run:
    workflows: ['Dev CI']
    types: [completed]

env:
  PROJECT_ID: 'awesome-project'
  SERVICE: 'homepage'
  REGION: 'us-west1'
  REGISTRY: '[YOUR_REGISTRY_ID]'
  WORKLOAD_IDENTITY_PROVIDER: '[YOUR_WORKLOAD_PROVIDER_ID]'
  SERVICE_ACCOUNT: '[YOUR_SERVICE_ACCOUNT_ID]'

jobs:
  preview:
    runs-on: ubuntu-20.04

    permissions:
      pull-requests: 'write'

    steps:
      - name: Checkout
        uses: actions/checkout@v3

      - name: 'Authenticate to Google Cloud'
        uses: 'google-github-actions/auth@v0.4.0'
        id: 'auth'
        with:
          token_format: 'access_token'
          workload_identity_provider: ${{ env.WORKLOAD_IDENTITY_PROVIDER }}
          service_account: ${{ env.SERVICE_ACCOUNT }}

      - name: Set up Cloud SDK
        uses: google-github-actions/setup-gcloud@v0

      - name: Authorize Docker push
        run: gcloud auth configure-docker ${{ env.REGISTRY }}

      # Get task id in lowercase from branch name for docker image naming convention
      # More detail on base parameter expansion: https://www.gnu.org/software/bash/manual/html_node/Shell-Parameter-Expansion.html
      - name: Get Task Id from Reference
        id: task
        run: |
          name="${{ github.ref_name }}"
          lowercase="${name,,}"
          echo "id=${lowercase:0:8}" >> $GITHUB_OUTPUT

      - name: Generate Image Tag
        id: image-tag
        run: |
          image_tag="$REGISTRY/$PROJECT_ID/$SERVICE/${{ steps.task.outputs.id }}:${GITHUB_SHA::8}"
          echo "tag=$image_tag" >> $GITHUB_OUTPUT

      - name: Build Docker Container
        run: |
          docker build -t ${{ steps.image-tag.outputs.tag }}

      - name: Push Docker Container
        run: |
          docker push ${{ steps.image-tag.outputs.tag }}

      - name: Deploy Revision with Tag
        run: |
          gcloud run deploy ${{ env.SERVICE }} \
            --platform "managed" \
            --region ${{ env.REGION }} \
            --image ${{ steps.image-tag.outputs.tag }} \
            --tag pr-${{ steps.jira.outputs.id }} \
            --no-traffic

      - name: Comment Preview URL in PR
        uses: mshick/add-pr-comment@v2
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        with:
          message: |
            🍿 Successfully deployed preview revision at https://pr-${{ steps.jira.outputs.id }}---homepage-12345abcde-ez.a.run.app
          allow-repeats: false Final Thoughts We've just re-created the modern workflow from Vercel and Netlify! There are a few improvements to make the workflow more robust: use a short hash as the identifier to tag preview image and Cloud Run revision replace the hard coded live URL with a step output in the preview comment step add a workflow that cleans up the unused Cloud Run revisions and Docker containers References GitHub: auth GitHub Action Article: Enabling keyless authentication from GitHub Actions - Google Cloud Website: Vercel Previews Website: Netlify Deploy Previews Website: Vercel Website: Netlify Document: Shell Parameter Expansion - GNU Google Cloud Article: Ex-Principal Engineer's Guide to Design Thinking and Continuous Delivery - Daw-Chih Liou Document: Cloud Run - Google Cloud Website: GitHub Actions Document: DevOps tech: Trunk-based development - Google Cloud Website: Artifact Registry - Google Cloud Website: Cloud SDK - Google Cloud Document: Workload identity federation - Google Cloud Document: Create and manage service account keys- Google Cloud Document: Configure workforce identity federation - Google Cloud Document: Store Docker container images in Artifact Registry - Google Cloud Document: Creating and managing projects - Google Cloud Document: Use tags for testing, traffic migration and rollbacks - Google Cloud GitHub: add-pr-comment Github: setup-gcloud GitHub Action This article was originally posted on . Daw-Chih’s website

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Deploy Like Vercel and Netlify with Cloud Run: Live, Preview, and Modern Workflow

Deploy Like Vercel and Netlify with Cloud Run: Live, Preview, and Modern Workflow

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