Pipeline Reliability
MS Learn path: Design and implement a release strategy — deepen module 7.
Overview
Makes the deployment pipeline itself dependable — not just the application. Covers idempotent deploys, retries and timeouts, atomic deployments, consistency checks, and rollback triggers so a failing release fails safely instead of corrupting state.
Units
- Idempotency: re-running a deploy yields the same result (no double effect)
- Retries, timeouts, quiesce, and post-deploy verification
- Atomic deployment and metric-gated rollback triggers
Concepts introduced
Key terms & commands
- Idempotent — safe to retry; repeated runs are no-ops once applied.
- Atomic deploy — the target switches wholly or not at all; the previous version is kept until the switch is verified.
- Rollback trigger — a metric or gate that automatically reverts a bad deploy.
- Trend setup — correlate release to monitoring trends (error rates, latency) to detect regression.
Hands-on
⚠ verify — implement an idempotent deploy + a rollback rule on an App Service slot; re-run and confirm no side effects.
Exam focus
- Idempotency + retries are the backbone of automated deployment.
- Atomic vs gradual rollback; gates (see gates-and-rollbacks) decide when to pull the trigger.
- Wire rollback triggers to trend metrics so a bad release auto-reverts.
Related
rollback-strategy · deployment-gate · azure-monitor · Path MOC