Creating custom deployment protection rules

About custom deployment protection rules

Du kannst deine eigenen benutzerdefinierten Regeln für den Bereitstellungsschutz aktivieren, um Bereitstellungen mit Drittanbieterdiensten zu schützen. Sie können z. B. Dienste wie Datadog, Honeycomb und ServiceNow verwenden, um automatisierte Genehmigungen für Bereitstellungen in GitHub zu ermöglichen.

Custom deployment protection rules are powered by GitHub Apps and run based on webhooks and callbacks. Approval or rejection of a workflow job is based on consumption of the deployment_protection_rule webhook. For more information, see Webhook-Ereignisse und -Nutzlasten and Approving or rejecting deployments.

Once you have created a custom deployment protection rule and installed it on your repository, the custom deployment protection rule will automatically be available for all environments in the repository.

Using custom deployment protection rules to approve or reject deployments

Deployments to an environment can be approved or rejected based on the conditions defined in any external service like an approved ticket in an IT Service Management (ITSM) system, vulnerable scan result on dependencies, or stable health metrics of a cloud resource. The decision to approve or reject deployments is at the discretion of the integrating third-party application and the gating conditions you define in them. The following are a few use cases for which you can create a deployment protection rule.

• ITSM & Security Operations: you can check for service readiness by validating quality, security, and compliance processes that verify deployment readiness.
• Observability systems: you can consult monitoring or observability systems (Asset Performance Management Systems and logging aggregators, cloud resource health verification systems, etc.) for verifying the safety and deployment readiness.
• Code quality & testing tools: you can check for automated tests on CI builds which need to be deployed to an environment.

Alternatively, you can write your own protection rules for any of the above use cases or you can define any custom logic to safely approve or reject deployments from pre-production to production environments.

Creating a custom deployment protection rule with GitHub Apps

1. Create a GitHub App. For more information, see Registrieren einer GitHub-App. Configure the GitHub App as follows.

   1. Optionally, in the Callback URL text field under "Identifying and authorizing users," enter the callback URL. For more information, see Informationen zur Rückruf-URL für die Benutzerautorisierung.
   2. Under "Permissions," select Repository permissions.
   3. To the right of "Actions," click the drop down menu and select Access: Read-only.
      
   4. To the right of "Deployments," click the drop down menu and select Access: Read and write.
      
   5. Under "Subscribe to events," select Deployment protection rule.
      

2. Install the custom deployment protection rule in your repositories and enable it for use. For more information, see Configuring custom deployment protection rules.

Approving or rejecting deployments

Once a workflow reaches a job that references an environment that has the custom deployment protection rule enabled, GitHub sends a POST request to a URL you configure containing the deployment_protection_rule payload. You can write your deployment protection rule to automatically send REST API requests that approve or reject the deployment based on the deployment_protection_rule payload. Configure your REST API requests as follows.

1. Validate the incoming POST request. For more information, see Validierung von Webhook-Zustellung.

2. Use a JSON Web Token to authenticate as a GitHub App. For more information, see Authentifizieren als GitHub-App.

3. Using the installation ID from the deployment_protection_rule webhook payload, generate an install token. For more information, see Informationen zur Authentifizierung mit einer GitHub-App.

   curl --request POST \
   --url "http(s)://HOSTNAME/api/v3/app/installations/INSTALLATION_ID/ACCESS_TOKENS" \
   --header "Accept: application/vnd.github+json" \
   --header "Authorization: Bearer {jwt}" \
   --header "Content-Type: application/json" \
   --data \
   '{ \
      "repository_ids": [321], \
      "permissions": { \
         "deployments": "write" \
      } \
   }'
   

4. Optionally, to add a status report without taking any other action to GitHub, send a POST request to /repos/OWNER/REPO/actions/runs/RUN_ID/deployment_protection_rule. In the request body, omit the state. For more information, see REST-API-Endpunkte für Workflowausführungen. You can post a status report on the same deployment up to 10 times. Status reports support Markdown formatting and can be up to 1024 characters long.

5. To approve or reject a request, send a POST request to /repos/OWNER/REPO/actions/runs/RUN_ID/deployment_protection_rule. In the request body, set the state property to either approved or rejected. For more information, see REST-API-Endpunkte für Workflowausführungen.

6. Optionally, request the status of an approval for a workflow run by sending a GET request to /repos/OWNER/REPOSITORY_ID/actions/runs/RUN_ID/approvals. For more information, see REST-API-Endpunkte für Workflowausführungen.

7. Optionally, review the deployment on GitHub. For more information, see Reviewing deployments.