Use a deploy policy to restrict rollouts

Use a deploy policy to restrict rollouts

Preview

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This quickstart shows you how to prevent Cloud Deploy rollouts to a target during a specified time, and how to override that restriction.

In this quickstart, you'll do the following:

1. Create a Skaffold configuration and a Kubernetes manifest or Cloud Run service definition to specify the (pre-built) container image to deploy.

2. Define your Cloud Deploy delivery pipeline and one deployment target, pointing to one GKE cluster or Cloud Run service.

   This pipeline includes only one stage, for the one target.

3. Configure a deploy policy for a target.

   The policy defines a range of dates during which to prohibit rollouts to that target.

4. Create a release.

   Normally when you create a release, Cloud Deploy creates a rollout for the first target in your delivery pipeline's progression. In this case, because there is a policy preventing deployment to the target, the rollout for that target is not created.

5. View the results in Google Cloud console.

   Because of the policy, you won't see a rollout for the release, and there is no pending action in the delivery pipeline visualization.

6. Override the deploy policy.

   This override results in Cloud Deploy now creating the rollout for the target.

7. View the results in Google Cloud console.

   Because the policy has now been overridden, you can see that there is a rollout in progress (or completed, if enough time has passed).

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, GKE, 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, GKE, 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 Google Cloud 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. First 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. Add the clouddeploy.policyAdmin role:

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

3. Add the developer role for your specific runtime.
• For GKE:

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

• For Cloud Run:

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

4. Add the iam.serviceAccountUser role, which includes the actAspermission to deploy to the runtime:

   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
   

Create your runtime environment

If you're deploying to Cloud Run, you can skip this command.

For GKE, create one cluster: quickstart-cluster-qsprod. The cluster's Kubernetes API endpoint must be network-reachable from the public internet. GKE clusters are externally accessible by default.

gcloud container clusters create-auto quickstart-cluster-qsprod \
                 --project=PROJECT_ID \
                 --region=us-central1

Prepare your Skaffold configuration and application manifest

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

In this quickstart, you create a skaffold.yaml file, which which identifies the Kubernetes manifest to be used to deploy the sample app.

1. Open a terminal window.

2. Create a new directory and navigate into it.

   mkdir deploy-policy-quickstart
   cd deploy-policy-quickstart
   

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

   GKE

   apiVersion: skaffold/v4beta1
   kind: Config
   manifests:
     rawYaml:
     - k8s-pod.yaml
   deploy:
     kubectl: {}
   

   Cloud Run

   apiVersion: skaffold/v4beta1
   kind: Config
   manifests:
     rawYaml:
     - service.yaml
   deploy:
     cloudrun: {}
   

   This file is a minimal Skaffold config. For this quickstart, you create the file. But you can also have Cloud Deploy create one for you, for basic, non-production applications.

   See the skaffold.yaml reference for more information about this configuration file.

4. Create the manifest for your application—a service definition for Cloud Run or a Kubernetes manifest for GKE.

   GKE

   Create a file named k8s-pod.yaml, with the following contents:

   apiVersion: v1
   kind: Pod
   metadata:
     name: getting-started
   spec:
     containers:
     - name: nginx
       image: my-app-image
   

   This file is a basic Kubernetes manifest, which is applied to the cluster 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.

   Cloud Run

   Create a file named service.yaml, with the following contents:

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

   This file is a basic Cloud Run service definition, which is 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 target

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

1. Create your delivery pipeline and target definition:

   GKE

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

   apiVersion: deploy.cloud.google.com/v1
   kind: DeliveryPipeline
   metadata:
     name: deploy-policy-pipeline
   serialPipeline:
     stages:
     - targetId: prod-target
   ---
   
   apiVersion: deploy.cloud.google.com/v1
   kind: Target
   metadata:
     name: prod-target
   description: production cluster
   gke:
     cluster: projects/PROJECT_ID/locations/us-central1/clusters/quickstart-cluster-qsprod
   

   Cloud Run

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

   apiVersion: deploy.cloud.google.com/v1
   kind: DeliveryPipeline
   metadata:
     name: deploy-policy-pipeline
   serialPipeline:
     stages:
     - targetId: prod-target
   ---
   
   apiVersion: deploy.cloud.google.com/v1
   kind: Target
   metadata:
     name: prod-target
   description: production Run service
   run:
     location: projects/PROJECT_ID/locations/us-central1
   

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

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

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

   You now have a delivery pipeline with one 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, with one target listed in the Targets column.

   

Create your deploy policy

You can define the deploy policy in the same file as your delivery pipeline and targets, or you can define it in a separate file. For this quickstart, we define it separately.

1. In the same directory in which you created the delivery pipeline and targets, create a new file, deploypolicy.yaml, with the following content:

   apiVersion: deploy.cloud.google.com/v1
   description: Restrict all rollouts in the deploy-policy-pipeline resource for the next ten years
   kind: DeployPolicy
   metadata:
     name: quickstart-deploy-policy
   selectors:
   - deliveryPipeline:
       id: 'deploy-policy-pipeline'
   rules:
   - rolloutRestriction:
       id: no-rollouts
       timeWindows:
         timeZone: America/New_York
         oneTimeWindows:
         - start: 2024-01-01 00:00
           end: 2034-01-01 24:00
   

   This policy blocks rollouts for 10 years, beginning January 1, 2024. This isn't a realistic policy; it's done like this for this quickstart only, to ensure that the policy is in place when you create your release.

2. Register your deploy policy resource with the Cloud Deploy service:

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

3. Confirm your deploy policy:

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

   Open the Deploy policies page

   The deploy policy you just created is shown.

   

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.

GKE

Run the following command from the deploy-policy-quickstart directory to create the release:

 gcloud deploy releases create test-release-001 \
   --project=PROJECT_ID \
   --region=us-central1 \
   --delivery-pipeline=deploy-policy-pipeline \
   --images=my-app-image=gcr.io/google-containers/nginx@sha256:f49a843c290594dcf4d193535d1f4ba8af7d56cea2cf79d1e9554f077f1e7aaa

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

Cloud Run

Run the following command from the deploy-policy-quickstart directory to create the release:

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

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

Under normal circumstances, Cloud Deploy creates the rollout to the first target when you create the release using this command. In this case, because rollouts are restricted according to the deploy policy, no rollout is created. An error message is shown on the command line:

ERROR: (gcloud.deploy.releases.create) A create-rollout attempt was blocked by the "quickstart-deploy-policy" policy. Target: "prod-target", Delivery pipeline: "deploy-policy-pipeline", policy rule: "no-rollouts"

Override the policy restriction

To deploy the sample application, which is blocked by the deploy policy, you need to override that policy. To do so, you create a new rollout against this release, this time including the --override-deploy-policies option:

GKE

Run the following command from the deploy-policy-quickstart directory to create the release:

 gcloud deploy releases promote --release=test-release-001 \
   --project=PROJECT_ID \
   --region=us-central1 \
   --delivery-pipeline=deploy-policy-pipeline \
   --to-target=prod-target \
   --override-deploy-policies=quickstart-deploy-policy

Cloud Run

Run the following command from the deploy-policy-quickstart directory to create the release:

 gcloud deploy releases promote --release=test-release-001 \
   --project=PROJECT_ID \
   --region=us-central1 \
   --delivery-pipeline=deploy-policy-pipeline \
   --to-target=prod-target \
   --override-deploy-policies=quickstart-deploy-policy

Because you included --override-deploy-policies=quickstart-deploy-policy, and because you have the roles/clouddeploy.policyAdmin role, Cloud Deploy ignores the deploy policy you created and creates the rollout to the prod-target.

View the results in Google Cloud console

1. In the Google Cloud console, navigate again to the Cloud Deploy Delivery pipelines page to view your delivery pipeline (deploy-policy-pipeline).

   Open the Delivery pipelines page

2. Click the name of your delivery pipeline (deploy-policy-pipeline).

   The pipeline visualization shows the app's deployment status. In this case, because the policy was overridden, the rollout was created and it succeeded.

   

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

Clean up

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

1. Delete the GKE cluster or Cloud Run service:

   GKE

   gcloud container clusters delete quickstart-cluster-qsprod --region=us-central1 --project=PROJECT_ID
   

   Cloud Run

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

2. Delete the deploy policy:

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

3. Delete the delivery pipeline, target, release, and rollout:

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

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

   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.

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