deployment-gcp-canary-setup

Progressive canary deployments on Cloud Run are automated by gradually routing traffic to new revisions. This minimizes blast radius by validating changes with real traffic before a full rollout.

Yes, Terraform manages Cloud Run traffic splitting configurations as infrastructure-as-code. It defines service configurations and canary targets to automatically route a specified percentage of traffic to new revisions.

Automated rollback for a Cloud Run canary release reverts traffic to a stable revision when degraded performance or errors are detected. Makefile targets provide quick rollback paths to restore service availability.

Cloud Monitoring alerts for error rate and latency are created using Terraform during the canary deployment setup. These alerts detect degraded performance automatically, triggering an automated rollback to protect end users.

Yes, this canary deployment approach covers both staging and production environments. It applies infrastructure-as-code requirements consistently across stages to manage traffic splitting and automated rollback safely.

To minimize blast radius when rolling out updates to Cloud Run services, use progressive canary deployments. This technique gradually routes traffic to new revisions, automatically reverting if Cloud Monitoring detects errors.