Deploy an app to Cloud Run using Cloud Deploy

Deploy an app to Cloud Run using Cloud Deploy

This page shows you how to use Cloud Deploy to deliver a sample application image named hello to a sequence of two Cloud Run services or two Cloud Run jobs.

In this quickstart, you'll do the following:

1. Create a Skaffold configuration

2. Create configuration files for two Cloud Run services or two jobs.

   These files define the services or jobs, and specify the (pre-built) container images to deploy.

3. Define your Cloud Deploy delivery pipeline and deployment targets, which point to the two services or the two jobs.

4. Instantiate your delivery pipeline by creating a release, which automatically deploys to the first target.

5. Promote the release to the second target.

6. View both rollouts in Google Cloud console.

Before you begin

1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   Go to project selector

3. Make sure that billing is enabled for your Google Cloud project.

4. Enable the Cloud Deploy, Cloud Build, Cloud Run, and Cloud Storage APIs.

   Enable the APIs

5. Install the Google Cloud CLI.

6. To initialize the gcloud CLI, run the following command:

   gcloud init

   Note: You can run the gcloud CLI in the Google Cloud console without installing the Google Cloud CLI. To run the gcloud CLI in the Google Cloud console, use Cloud Shell.

7. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   Go to project selector

8. Make sure that billing is enabled for your Google Cloud project.

9. Enable the Cloud Deploy, Cloud Build, Cloud Run, and Cloud Storage APIs.

   Enable the APIs

10. Install the Google Cloud CLI.

11. To initialize the gcloud CLI, run the following command:

    gcloud init

    Note: You can run the gcloud CLI in the Google Cloud console without installing the Google Cloud CLI. To run the gcloud CLI in the Google Cloud console, use Cloud Shell.

If you already have the CLI installed, make sure you're running the latest version:

gcloud components update

12. Make sure the default Compute Engine service account has sufficient permissions.

    The service account might already have the necessary permissions. These steps are included for projects that disable automatic role grants for default service accounts.

1. Add the clouddeploy.jobRunner role:

   gcloud projects add-iam-policy-binding PROJECT_ID \
       --member=serviceAccount:$(gcloud projects describe PROJECT_ID \
       --format="value(projectNumber)")[e-mail] \
       --role="roles/clouddeploy.jobRunner"
   

2. Grant the default execution service account actAs permission to deploy workloads into Cloud Run:

   gcloud iam service-accounts add-iam-policy-binding $(gcloud projects describe PROJECT_ID \
       --format="value(projectNumber)")[e-mail] \
       --member=serviceAccount:$(gcloud projects describe PROJECT_ID \
       --format="value(projectNumber)")[e-mail] \
       --role="roles/iam.serviceAccountUser" \
       --project=PROJECT_ID
   

3. Add the Cloud Run developer permissions:

   gcloud projects add-iam-policy-binding PROJECT_ID \
       --member=serviceAccount:$(gcloud projects describe PROJECT_ID \
       --format="value(projectNumber)")[e-mail] \
       --role="roles/run.developer"
   

   If you have trouble adding either of these roles, contact your project administrator.

Prepare your Skaffold configuration

Cloud Deploy uses Skaffold to provide the details for what to deploy and how to deploy it properly for your separate targets.

For this quickstart, you create a skaffold.yaml file, which identifies the Cloud Run service or job definition to be used to deploy the sample app.

1. Open a terminal window.

2. Create a new directory, named deploy-run-quickstart and navigate into it.

   mkdir deploy-run-quickstart
   cd deploy-run-quickstart
   

3. Create a file named skaffold.yaml with the following contents:

   Services

   apiVersion: skaffold/v4beta7
   kind: Config
   metadata: 
     name: deploy-run-quickstart
   profiles:
   - name: dev
     manifests:
       rawYaml:
       - run-service-dev.yaml
   - name: prod
     manifests:
       rawYaml:
       - run-service-prod.yaml
   deploy:
     cloudrun: {}
   

   Jobs

   apiVersion: skaffold/v4beta7
   kind: Config
   metadata: 
     name: deploy-run-quickstart
   profiles:
   - name: dev
     manifests:
       rawYaml:
       - run-job-dev.yaml
   - name: prod
     manifests:
       rawYaml:
       - run-job-prod.yaml
   deploy:
     cloudrun: {}
   

   This file is a minimal Skaffold config, identifying your Cloud Run services or jobs. See the skaffold.yaml reference for more information about this file.

Prepare your Cloud Run services or jobs

For this quickstart, you'll create either two different Cloud Run services or two Cloud Run jobs, in the same project. Cloud Deploy also supports deploying across multiple projects. Also, we use Skaffold profiles to make it possible to have two services or jobs in the same project. When you use different projects, you might not need to use Skaffold profiles.

Services

1. Create a file named run-service-dev.yaml with the following contents:

   apiVersion: serving.knative.dev/v1
   kind: Service
   metadata:
     name: deploy-run-service-dev
   spec:
     template:
       spec:
         containers:
         - image: my-app-image
   

   This file defines a Cloud Run service. As the name deploy-run-service-dev implies, this is your dev service, and corresponds to the first target in your delivery pipeline progression.

2. Create a file named run-service-prod.yaml with the following contents:

   apiVersion: serving.knative.dev/v1
   kind: Service
   metadata:
     name: deploy-run-service-prod
   spec:
     template:
       spec:
         containers:
         - image: my-app-image
   

   This file defines another Cloud Run service, and as the name deploy-run-service-prod implies, this is your prod service, and corresponds to the second target in your delivery pipeline progression.

These files are simple Cloud Run service definitions, which are used to deploy the application. The container image to deploy is set here as a placeholder, my-app-image, which is replaced with the specific image when you create the release.

Jobs

1. Create a file named run-job-dev.yaml with the following contents:

   apiVersion: run.googleapis.com/v1
   kind: Job
   metadata:
     name: deploy-run-job-dev
   spec:
     template:
       spec:
         template:
           spec:
             containers:
             - image: my-app-image
   

   This file defines a Cloud Run job. As the name deploy-run-job-dev implies, this is your dev job, and corresponds to the first target in your delivery pipeline progression.

2. Create a file named run-job-prod.yaml with the following contents:

   apiVersion: run.googleapis.com/v1
   kind: Job
   metadata:
     name: deploy-run-job-prod
   spec:
     template:
       spec:
         template:
           spec:
             containers:
             - image: my-app-image
   

   This file defines another Cloud Run job. As the name deploy-run-job-prod implies, this is your prod job, and corresponds to the second target in your delivery pipeline progression.

These files are simple Cloud Run job definitions, which are used to deploy the application. The container image to deploy is set here as a placeholder, my-app-image, which is replaced with the specific image when you create the release.

Create your delivery pipeline and targets

You can define your pipeline and targets in one file or in separate files. In this quickstart, you create a single file.

1. In the deploy-run-quickstart directory, create a new file: clouddeploy.yaml, with the following contents:

   apiVersion: deploy.cloud.google.com/v1
   kind: DeliveryPipeline
   metadata:
     name: my-run-demo-app-1
   description: main application pipeline
   serialPipeline:
     stages:
     - targetId: run-qsdev
       profiles: [dev]
     - targetId: run-qsprod
       profiles: [prod]
   ---
   
   apiVersion: deploy.cloud.google.com/v1
   kind: Target
   metadata:
     name: run-qsdev
   description: Cloud Run development service
   run:
     location: projects/PROJECT_ID/locations/us-central1
   ---
   
   apiVersion: deploy.cloud.google.com/v1
   kind: Target
   metadata:
     name: run-qsprod
   description: Cloud Run production service
   run:
     location: projects/PROJECT_ID/locations/us-central1
   

   Note: In this file, targets are included with the delivery pipeline, but you can define targets in a separate file or multiple separate files.

2. Register your pipeline and targets with the Cloud Deploy service:

   gcloud deploy apply --file=clouddeploy.yaml --region=us-central1 --project=PROJECT_ID
   

   You now have a pipeline, with targets, ready to deploy your application to your first target.

3. Confirm your pipeline and targets:

   In the Google Cloud console, navigate to the Cloud Deploy Delivery pipelines page to view of list of your available delivery pipelines.

   Open the Delivery pipelines page

   The delivery pipeline you just created is shown, and the two targets are listed in the Targets column.

   

Create a release

A release is the central Cloud Deploy resource representing the changes being deployed. The delivery pipeline defines the lifecycle of that release. See Cloud Deploy service architecture for details about that lifecycle.

Run the following command from the deploy-run-quickstart directory to create a release resource that represents the container image to deploy:

Services

 gcloud deploy releases create test-release-001 \
   --project=PROJECT_ID \
   --region=us-central1 \
   --delivery-pipeline=my-run-demo-app-1 \
   --images=my-app-image=us-docker.pkg.dev/cloudrun/container/hello@sha256:4a856b6f1c3ce723a456ddc2adfbb794cbfba93f727e2d96fcf6540bd0d6fff4

Jobs

 gcloud deploy releases create test-release-001 \
   --project=PROJECT_ID \
   --region=us-central1 \
   --delivery-pipeline=my-run-demo-app-1 \
   --images=my-app-image=us-docker.pkg.dev/cloudrun/container/job@sha256:d7c33651fbad911a9a0a0c16f2f9b3a79f0b9e3e89afb205603af706067feac5

Notice the --images= flag, which you use to replace the placeholder (my-app-image) in the service or job definition with the specific, SHA-qualified image. Google recommends that you templatize your service and job definitions this way, and that you use SHA-qualified image names at release creation.

As with all releases (unless they include --disable-initial-rollout), Cloud Deploy automatically creates a rollout resource too. The application is automatically deployed into the first target in the progression.

Promote the release

Note: after you create the release, you might need wait a few minutes before you continue with this step.

1. From the Delivery pipelines page, click the my-run-demo-app-1 pipeline.

   Open the Delivery pipelines page

   The Delivery pipeline details page shows a graphical representation of your delivery pipeline's progress. In this case, it shows that the release was deployed to the run-qsdev target.

   

2. On the first target in the delivery pipeline visualization, click Promote.

   The Promote release dialog is shown. It shows the details of the target you're promoting to.

3. Click Promote.

   The release is now queued for deployment into run-qsprod. When deployment is complete, the delivery pipeline visualization shows it as deployed:

   

View the results in Google Cloud console

1. In the Google Cloud console, navigate to the Cloud Deploy Delivery pipelines page to view your my-run-demo-app-1 delivery pipeline.

   Open the Delivery pipelines page

2. Click the name of your delivery pipeline "my-run-demo-app-1".

   The pipeline visualization shows the app's progress through the pipeline.

   

   And your release is listed on the Releases tab under Delivery pipeline details.

3. Click the release name, test-release-001.

   Your rollouts appear under Rollouts. You can click a rollout to view its details, including the deployment log.

   

Accessing your Cloud Run service

By default, you must be authenticated in order to access newly created Cloud Run services. See the Cloud Run Authentication overview to learn how to provide credentials and to find out what Identity and Access Management configuration is required in order access the service without authentication. This doesn't apply to Cloud Run jobs.

Clean up

To avoid incurring charges to your Google Cloud account for the resources used on this page, follow these steps.

1. Delete the deploy-qs-dev Cloud Run service or job:

   Services

   gcloud run services delete deploy-run-service-dev --region=us-central1 --project=PROJECT_ID
   

   Jobs

   gcloud run jobs delete deploy-run-job-dev --region=us-central1 --project=PROJECT_ID
   

2. Delete the deploy-qs-prod service:

   Services

   gcloud run services delete deploy-run-service-prod --region=us-central1 --project=PROJECT_ID
   

   Jobs

   gcloud run jobs delete deploy-run-job-prod --region=us-central1 --project=PROJECT_ID
   

3. Delete the delivery pipeline, targets, release and rollouts:

   gcloud deploy delete --file=clouddeploy.yaml --force --region=us-central1 --project=PROJECT_ID
   

4. Delete the Cloud Storage buckets that Cloud Deploy created.

   One ends with _clouddeploy, and the other is [region].deploy-artifacts.[project].appspot.com.

   Open the Cloud Storage browser page

That's it, you completed this quickstart!

What's next

• Learn more about Cloud Deploy.

• Learn the basics of deploying applications.

• Read the how-to article for deploying to Cloud Run

• Learn how to manage your manifests.

• Learn how to combine Google Cloud CI/CD tools to develop and deliver software effectively to GKE.