Nw Deployment Strategies

Deployment Strategies — Rollback, Risk, and Validation

For deployment strategy patterns (canary, blue-green, rolling, progressive delivery), see cicd-and-deployment skill. This skill focuses on operational concerns: validation, rollback, risk, and post-deployment.

Pre-Deployment Validation

Before any deployment, validate:

• Deployment scripts tested in staging | Database migrations tested with rollback scripts
• Configuration management consistent across environments | Health checks and service discovery configured
• Monitoring and alerting systems prepared | Backup and disaster recovery procedures validated

Rollback Procedures

Design Rollback First

Every deployment plan starts with the rollback section:

• Database rollback: migration revert scripts tested and verified
• Application rollback: previous version tagged and deployable
• Configuration rollback: previous config snapshots available
• Traffic rollback: load balancer / feature flag kill switch ready
• Data rollback: data consistency plan for partial rollback scenarios

Automated Rollback Triggers

Configure automatic rollback when:

• Error rate exceeds baseline by >2x | P95 latency exceeds SLA threshold
• Health check failures exceed threshold (e.g., 3 consecutive) | Business metric anomaly detected (e.g., conversion drop >10%)

Manual Rollback Decision Criteria

Stakeholder-reported functional issues | Security vulnerability discovered post-deploy | Data integrity concerns | Performance degradation below acceptable levels.

Risk Assessment

Technical Risks

Integration failure with downstream services | Performance degradation under production load | Data migration integrity issues | Security vulnerabilities introduced.

Business Risks

User adoption challenges | Business process disruption | Stakeholder expectation misalignment.

Operational Risks

Infrastructure capacity limitations | Third-party dependency failures | Team availability for incident response.

Risk Mitigation Checklist

• [ ] Rollback procedure designed and tested
• [ ] Monitoring dashboards configured for deployment
• [ ] On-call team notified of deployment window
• [ ] Feature flags configured for gradual rollout
• [ ] Communication plan for stakeholders prepared
• [ ] Incident response runbook updated

Post-Deployment Validation

Production Smoke Tests

Critical user paths validated | Integration points tested with real external systems | Performance validated under production load | Security controls verified | Data integrity confirmed.

Monitoring Validation

Application performance metrics collecting | Error tracking and alerting active | Business metric dashboards updated | Infrastructure monitoring nominal.