Run hooks before and after deploying

Run hooks before and after deploying

This quickstart shows you how to run a deploy hook—an arbitrary program to run before or after you deploy using Cloud Deploy.

In this quickstart, you'll do the following:

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

   You can use an GKE Enterprise cluster for this 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 hooks to run. You identify a container to run before deploying, and a 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 hooks that were defined in skaffold.yaml, to run those hooks.

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

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

   One of the hooks is run before the application is deployed, and the other is run after.

5. View the results of the pre- and post-deploy hooks 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-hooks-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-hooks-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 containers to run before and after deployment (the deploy hooks).

1. Open a terminal window.

2. Create a new directory and navigate into it.

   GKE

   mkdir deploy-hooks-gke-quickstart
   cd deploy-hooks-gke-quickstart
   

   Cloud Run

   mkdir deploy-hooks-run-quickstart
   cd deploy-hooks-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: {}
   customActions:
   - name: predeploy-action
     containers:
     - name: predeploy-echo
       image: ubuntu
       command: ["/bin/sh"]
       args: ["-c", 'echo "this is a predeploy action"' ]
   - name: postdeploy-action
     containers:
     - name: postdeploy-echo
       image: ubuntu
       command: ["/bin/sh"]
       args: ["-c", 'echo "this is a postdeploy action"' ]
   

   Cloud Run

   apiVersion: skaffold/v4beta7
   kind: Config
   manifests:
     rawYaml:
     - service.yaml
   deploy:
     cloudrun: {}
   customActions:
   - name: predeploy-action
     containers:
     - name: predeploy-echo
       image: ubuntu
       command: ["/bin/sh"]
       args: ["-c", 'echo "this is a predeploy action"' ]
   - name: postdeploy-action
     containers:
     - name: postdeploy-echo
       image: ubuntu
       command: ["/bin/sh"]
       args: ["-c", 'echo "this is a postdeploy action"' ]
   

   This file includes the customActions: stanza. This defines the containers to run before and after deploying—the hooks.

   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-hooks-pod
   spec:
     containers:
     - name: nginx
       image: my-app-image
   

   This file is a simple Kubernetes manifest, which is applied to the cluster to deploy the application.

   Cloud Run

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

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

   This file is a simple Cloud Run service definition, which is used at deploy time to create your Cloud Run service.

Note: If you want to use different manifests per target, read this article about managing manifests to find out more about using Skaffold profiles.

Create your delivery pipeline and target

You can define your pipeline and target 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-hooks-gke-quickstart directory, create a new file: clouddeploy.yaml, with the following contents:

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

   Cloud Run

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

   apiVersion: deploy.cloud.google.com/v1
   kind: DeliveryPipeline
   metadata:
     name: deploy-hooks-demo-app-run-1
   description: main application pipeline
   serialPipeline:
     stages:
     - targetId: hooks-staging
       profiles: []
       strategy:
         standard:
           predeploy:
             actions: ["predeploy-action"]
           postdeploy:
             actions: ["postdeploy-action"]
   ---
   
   apiVersion: deploy.cloud.google.com/v1
   kind: Target
   metadata:
     name: hooks-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 run your pre-deploy and post-deploy jobs.

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-hooks-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-hooks-demo-app-gke-1 \
   --images=my-app-image=gcr.io/google-containers/nginx@sha256:f49a843c290594dcf4d193535d1f4ba8af7d56cea2cf79d1e9554f077f1e7aaa

Cloud Run

Run the following command from the deploy-hooks-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-hooks-demo-app-run-1 \
   --images=my-app-image=us-docker.pkg.dev/cloudrun/container/hello@sha256:6063adf8f687702b4065151acddba6781c47bc602167eb9f3bec8aebc9ce95cc

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.

Also, the pre-deploy job runs before the application is deployed, and the post-deploy job runs after.

View the results in Google Cloud console

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

The pre- and post-deploy hooks that we configured (for example purposes) print strings to the Cloud Build logs. We can view those logs to confirm that the hooks worked as expected.

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

   Open the Delivery pipelines page

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

   

   Predeploy and Postdeploy are listed as jobs.

5. Click Predeploy

   The job run log is displayed.

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

   

   Notice the textPayload. That string is what was configured in the predeploy-action in your Skaffold configuration.

7. Click the Postdeploy job, and find the postdeploy-echo log entry.

   

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-hooks-cluster --region=us-central1 --project=PROJECT_ID
   

   Cloud Run

   gcloud run services delete my-hooks-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 the basics of deploying applications.

• Try out the Cloud Deploy walkthrough.

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