Zero-Downtime Deployment Rollout (Delivery)

Zero-Downtime Deployment Rollout (Delivery)

1. 01

   Map the current deployment path from commit to production

   Identify every manual step, script, or tool involved in shipping client code, including build triggers, test gates, and server provisioning.

2. 02

   Define a rollback trigger and a rollback procedure before the first automated deploy

   Decide which signals (failed health check, error rate spike, client complaint) initiate a rollback, and document the exact command or button that restores the previous version.

3. 03

   Set up a staging environment that mirrors production configuration

   Use the same cloud provider, environment variables, and database schema so that staging catches issues that only appear in production-like conditions.

4. 04

   Configure automated deployment from the Git repository with a manual approval gate for production

   Tools like DeployHQ or Railway can auto-deploy on push to a staging branch, but require a human click to promote to production, giving the agency control over timing.

5. 05

   Run a canary or blue-green deployment for the first three production releases

   Route a small percentage of traffic to the new version, monitor error rates and latency for 15 minutes, then gradually increase the share if no issues surface.

6. 06

   Document the deployment runbook and share it with the client's technical contact

   Include the expected deploy duration, rollback steps, and who to notify on failure, so the client knows what to expect during release windows.

7. 07

   Schedule a post-deploy review 24 hours after each release

   Compare error logs, performance metrics, and client feedback against the pre-deploy baseline, and log any anomalies for the next iteration.