AI-generated code passes tests but still breaks in production, and most teams use all-or-nothing deployments that take hours to revert. This guide builds a canary deployment pipeline using GitHub Actions that ships new builds to 5% of traffic first, runs smoke tests immediately, soaks for an hour comparing crash-free rates via Sentry, then either promotes to 100% or rolls back in seconds. Full implementations are provided for Vercel (Rolling Releases), Netlify (Blobs-backed edge function), Cloudflare Workers (version splitting), and GCP Cloud Run, including post-promotion watch jobs, Slack notifications, geo-scoped rollouts, and automatic rollback logic.
Table of contents
Canaries 🔗The workflow we start from 🔗Vercel 🔗Netlify 🔗Cloudflare 🔗Deploying it yourself on GCP or AWS 🔗All the code 🔗592 Impressions