Release Governance & Rollback Strategy
Promotion gates, canary analysis, and automated rollback: speed with control.
Governance That Doesn't Slow You Down
Release governance gets a bad reputation because most teams implement it as a manual approval chain. Someone has to click "approve" in Jira, then someone else reviews, then a CAB meeting, then a deployment window...
CloudPresto's governance is automated and criteria-based. Standard changes flow through automatically if they pass quality gates. Only exceptional changes, new services, architecture modifications, emergency patches, require human approval.
Deployment Strategies
Canary Deployments
New version deployed to a small percentage of traffic (5–10%). Metrics compared against the stable version in real time. If the canary is healthy after the evaluation window, traffic gradually increases to 100%.
Blue-Green
Full parallel environment with instant traffic switching. Zero-downtime deployments with immediate rollback capability. Higher infrastructure cost but simpler operational model.
Rolling Updates
Instances updated incrementally. Good for stateless services. Lower infrastructure overhead than blue-green. Health checks gate each batch before proceeding.
Feature Flags
Deploy code without activating it. Progressive rollout to user segments. Instant kill switch without a deploy. Decouples deployment from release.
Automated Rollback
Every deployment includes automated rollback triggers. The system monitors key metrics during and after deployment:
- Error rate spike: if error rate exceeds baseline by more than 2x, rollback triggers
- Latency degradation: if P99 latency increases beyond threshold, rollback triggers
- Health check failures: if readiness probes fail on new instances, rollback triggers
- Custom metrics: business-specific signals (conversion rate drop, queue depth spike) can also trigger rollback