Verify your application after deploying it

Verify your application after deploying it

This quickstart shows you how to use Cloud Deploy to verify your deployed application, as part of the delivery pipeline.

In this quickstart, you'll do the following:

1. Create one GKE cluster or one Cloud Run service.

   You can use deploy verification on an GKE Enterprise cluster too, but this quickstart uses GKE and Cloud Run only.

2. Create a Skaffold configuration and either a Kubernetes manifest or a Cloud Run service definition.

   The Skaffold configuration file is where you configure the deploy verification container to run after deploying.

3. Define your Cloud Deploy delivery pipeline and deployment target.

   In the delivery pipeline configuration, you'll reference the deploy verification that was defined in skaffold.yaml, to run that verification.

   This pipeline includes only one stage and uses only one target.

4. Create a release, which automatically deploys to the target.

   After the application is deployed, the verification is run as a phase of the rollout.

5. View the results of the verification in the Cloud Build logs, using the Cloud Deploy Rollout details page 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, GKE, 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, GKE, 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. 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 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"
  

3. 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: deploy-verification-cluster, with default settings. 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 deploy-verification-cluster \
                 --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 identifies the manifest to be used to deploy the sample app, and also identifies the container to run after deployment (the deploy verification).

1. Open a terminal window.

2. Create a new directory and navigate into it.

   GKE

   mkdir deploy-verification-gke-quickstart
   cd deploy-verification-gke-quickstart
   

   Cloud Run

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

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

   GKE

   apiVersion: skaffold/v4beta7
   kind: Config
   manifests:
     rawYaml:
     - k8s-pod.yaml
   deploy:
     kubectl: {}
   verify:
   - name: verification-test
     container:
       name: verification-echo
       image: ubuntu
       command: ["/bin/sh"]
       args: ["-c", 'echo "Your test or tests would go here."' ]
   

   Cloud Run

   apiVersion: skaffold/v4beta7
   kind: Config
   manifests:
     rawYaml:
     - service.yaml
   deploy:
     cloudrun: {}
   verify:
   - name: verification-test
     container:
       name: verification-echo
       image: ubuntu
       command: ["/bin/sh"]
       args: ["-c", 'echo "Your test or tests would go here."' ]
   

   This file includes the verify: stanza, defining the container and command to run after deploying the application. In this case, we're deploying an Ubuntu container and running a simple echo command. You can view the results of this command in the logs. In a more realistic scenario, you would run tests against your deployed application.

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

4. Create the definition 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: my-verification-pod
   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-verification-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 targets

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

1. Create your delivery pipeline and target definition:

   GKE

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

   apiVersion: deploy.cloud.google.com/v1
   kind: DeliveryPipeline
   metadata:
     name: deploy-verification-demo-app-gke-1
   description: main application pipeline
   serialPipeline:
     stages:
     - targetId: verify-staging
       profiles: []
       strategy:
         standard:
           verify: true
   ---
   
   apiVersion: deploy.cloud.google.com/v1
   kind: Target
   metadata:
     name: verify-staging
   description: verification staging cluster
   gke:
     cluster: projects/PROJECT_ID/locations/us-central1/clusters/deploy-verification-cluster
   

   Cloud Run

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

   apiVersion: deploy.cloud.google.com/v1
   kind: DeliveryPipeline
   metadata:
     name: deploy-verification-demo-app-run-1
   description: main application pipeline
   serialPipeline:
     stages:
     - targetId: verify-staging
       profiles: []
       strategy:
         standard:
           verify: true
   ---
   
   apiVersion: deploy.cloud.google.com/v1
   kind: Target
   metadata:
     name: verify-staging
   description: staging 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 targets 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, ready to deploy your application and verify that deployment.

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 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-verification-gke-quickstart directory to create a release resource that represents the container image to deploy:

 gcloud deploy releases create test-release-001 \
   --project=PROJECT_ID \
   --region=us-central1 \
   --delivery-pipeline=deploy-verification-demo-app-gke-1 \
   --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 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-verification-run-quickstart directory to create a release resource that represents the container image to deploy:

 gcloud deploy releases create test-release-001 \
   --project=PROJECT_ID \
   --region=us-central1 \
   --delivery-pipeline=deploy-verification-demo-app-run-1 \
   --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 service definition with the specific, SHA-qualified image. Google recommends that you templatize your service 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 one target configured for this delivery pipeline.

The verification job we specified in our Skaffold config runs as part of this rollout, after the application is deployed.

View the results in Google Cloud console

After a few minutes, your release is deployed into your target runtime.

The verification job that we configured (for example purposes) prints a string to the Cloud Build log. We can view that log to confirm that the verification worked as expected.

1. In the Google Cloud console, navigate to the Cloud Deploy Delivery pipelines page to view your delivery pipeline ("deploy-verification-demo-app-gke-1" or "deploy-verification-demo-app-run-1").

   Open the Delivery pipelines page

2. Click the name of your delivery pipeline ("deploy-verification-demo-app-gke-1" or "deploy-verification-demo-app-run-1").

   The pipeline visualization shows the app's deployment status. Because there's only one stage in the pipeline, the visualization shows only one node.

   

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

3. Click the Rollouts tab, under Delivery pipeline details.

4. Click the rollout name to view the rollout details.

   

   Verify is listed as a job.

5. Click Verify

   The job run log is displayed.

6. Scroll down in the list of log entries to find verification-test, and click it.

   

   Notice the textPayload. That string is what was configured in the Verify stanza in your Skaffold configuration.

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 deploy-verification-cluster --region=us-central1 --project=PROJECT_ID
   

   Cloud Run

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

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

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

3. 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 more about deploy verification.

• Try out the Cloud Deploy walkthrough.