Automate canary deployments on Cloud Run with health checks and rollback.
npx skills add https://github.com/atelier-fashion/adlc-toolkit --skill canary-atelier-fashion
Please help me install this Agent Skill. Skill: canary Source: https://github.com/atelier-fashion/adlc-toolkit/tree/main/canary Command: npx skills add https://github.com/atelier-fashion/adlc-toolkit --skill canary-atelier-fashion
Canary deployments reduce production risk by validating new changes on a zero-traffic revision before full rollout.
To begin a canary deployment, ensure gcloud is authenticated and a pre-existing Cloud Run service exists, then invoke the canary workflow with the target service name.
High-intent search queries and answers about installing and using this skill.
Canary deployments on Cloud Run use zero-traffic revisions to test new changes safely. This Skill automates deploying a canary revision, tagging it, and capturing a canary URL to run health checks before routing any user traffic.
Automating canary deployments requires gcloud authentication, access to a Docker image, and a pre-existing configured Cloud Run production service. You must also be able to capture a canary URL for post-deploy smoke tests and health checks.
Automated rollback triggers when post-deploy smoke tests or health checks fail. The canary deployment workflow verifies runtime readiness on the zero-traffic revision and safely rolls back the Cloud Run service if checks fail.
No, this canary workflow works exclusively for pre-existing Cloud Run services. It requires a configured production service to deploy zero-traffic revisions and run automated health checks without affecting existing users.
A zero-traffic canary revision deploys new code without routing user traffic, allowing automated smoke tests to verify runtime readiness. A full production rollout promotes the canary revision to receive traffic after health checks pass.
Canary deployments are best when validating new changes with automated health checks before full rollout. They reduce production risk by testing a zero-traffic revision and enabling safe rollback if smoke tests fail.
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