deployment-gcp-canary-setup

What problem does it solve?

This skill enables teams to safely roll out updates to Cloud Run services by employing progressive canary deployments, reducing blast radius and risk to end users.

Core Features & Use Cases

• Traffic splitting: Gradually route traffic to new revisions to validate changes with real traffic.
• Automatic rollback: Detects degraded performance or errors and reverts traffic to a stable revision.
• Terraform-driven deployment: Uses infrastructure-as-code to manage Cloud Run configurations, alerts, and canary targets.
• Observability setup: Creates Cloud Monitoring alerts for error rate and latency and provides quick rollback paths.

Quick Start

1. Install and configure gcloud and Terraform, then initialize your project.
2. Define your service and canary_percent, then run the deployment workflow (e.g., make deploy-canary PERCENT=10 VERSION=your-tag STAGE=prod).
3. Validate canary health and, if needed, rollback to the previous revision.