# Nw Deployment Strategies

> Rollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans. For deployment strategy details (canary, blue-green, rolling), see `cicd-and-deployment` skill.

- Skill: `thedixitjain/nw-deployment-strategies` (Agent Skill)
- Install (CLI): `npx skillmds add thedixitjain/nw-deployment-strategies`
- Raw SKILL.md: https://api.skillmd.com/api/skills/thedixitjain/nw-deployment-strategies/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: thedixitjain (https://skillmd.com/u/thedixitjain)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/thedixitjain/nw-deployment-strategies

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# 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:
1. **Database rollback**: migration revert scripts tested and verified
2. **Application rollback**: previous version tagged and deployable
3. **Configuration rollback**: previous config snapshots available
4. **Traffic rollback**: load balancer / feature flag kill switch ready
5. **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.

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**Source:** [`nWave-ai/nWave`](https://github.com/nWave-ai/nWave) → `nWave/skills/nw-deployment-strategies/SKILL.md`

**Also appears in:** `nWave-ai/nWave/plugins/nw/skills/nw-deployment-strategies/SKILL.md`