Production Launch Checklist
Pre-Launch (Complete Before Deploy)
Testing ✅
- Unit tests passing (90%+ coverage)
- Integration tests passing
- End-to-end tests passing
- Load tests completed (50+ concurrent)
- Performance benchmarks met (under 15s generation)
- All generators tested
- Quality libraries verified
- Error scenarios tested
Code Quality ✅
- All code type-hinted
- All functions documented
- Error handling implemented
- Logging configured
- No critical linter errors
- Security review completed
Configuration ✅
- Production config created
- Environment variables documented
- API keys secured
- Rate limiting configured
- Cost limits set
- Monitoring enabled
Documentation ✅
- API documentation complete
- User guide written
- Deployment guide created
- Troubleshooting guide included
- Examples provided
Deployment Steps
Stage 1: Staging Deployment
- Deploy to staging environment
- Run smoke tests
- Test all API endpoints
- Verify monitoring works
- Check logs are flowing
- Test with sample data
- Performance test on staging
Stage 2: Production Deployment
- Review staging results
- Get stakeholder approval
- Deploy to production
- Run health checks
- Verify all endpoints
- Test sample generation
- Confirm monitoring active
Stage 3: Validation
- Generate test content (all types)
- Verify quality scores
- Check compliance validation
- Test A/B variants
- Validate cost tracking
- Review error rates
- Confirm performance metrics
Post-Launch (First 24 Hours)
Monitoring
- Monitor error rates (target: under 1%)
- Track generation times (target: under 15s p95)
- Watch quality scores (target: above 0.85)
- Monitor API usage
- Track costs (vs budget)
- Check system resources
Validation
- Review first 10 generations manually
- Validate quality scores are accurate
- Check compliance catching issues
- Verify A/B testing works
- Test sales sequences
- Confirm multi-platform works
Optimization
- Identify slow endpoints
- Review error logs
- Check for patterns in failures
- Optimize high-cost operations
- Adjust rate limits if needed
Week 1 Post-Launch
Performance
- Review performance trends
- Identify optimization opportunities
- Check cache hit rates
- Monitor resource usage
- Validate scalability
Quality
- Analyze quality score distribution
- Review user feedback
- Check compliance pass rates
- Validate toxicity detection
- Review grammar suggestions
Business
- Track generation volume
- Calculate actual costs
- Measure time savings
- Collect user satisfaction
- Identify popular content types
Success Criteria
Technical Metrics
| Metric | Target | Validation |
|---|---|---|
| Uptime | above 99.5% | ✅ Monitoring |
| Response Time (p95) | under 15s | ✅ Prometheus |
| Error Rate | under 1% | ✅ Logs |
| Quality Score | above 0.85 | ✅ Metrics |
| SEO Score | above 85 | ✅ Dashboard |
| Test Coverage | above 90% | ✅ pytest |
Business Metrics
| Metric | Target | Validation |
|---|---|---|
| Generation Volume | 1,000+/month | ✅ Analytics |
| Cost per Piece | under $0.05 | ✅ Cost tracking |
| User Satisfaction | above 4.5/5 | ✅ Surveys |
| Time Savings | above 80% | ✅ User feedback |
| Conversion Improvement | above 20% | ✅ A/B tests |
Rollback Plan
If Issues Arise
Minor Issues (errors under 5%):
- Monitor closely
- Hot fix if possible
- Continue operation
Major Issues (errors above 10%):
- Stop new deployments
- Investigate immediately
- Prepare rollback
Critical Issues (service down):
- Immediate rollback to previous version
- Notify all users
- Root cause analysis
- Fix and re-deploy
Rollback Steps
# Docker rollback
docker-compose down
docker-compose up -d --build [previous-version]
# Verify health
curl http://localhost:8000/api/v1/content/health
# Monitor for 1 hour
Go/No-Go Decision
GO if:
- ✅ All tests passing
- ✅ Code quality high
- ✅ Configuration validated
- ✅ Monitoring working
- ✅ Documentation complete
- ✅ Stakeholders approved
- ✅ Rollback plan ready
NO-GO if:
- ❌ Critical tests failing
- ❌ Security concerns unresolved
- ❌ Performance below targets
- ❌ Configuration issues
- ❌ Monitoring not working
Post-Launch Monitoring Dashboard
Key Metrics to Watch
Performance:
- Requests per minute
- Generation duration (p50, p95, p99)
- Error rate
- Active generations
Quality:
- Average quality score by type
- SEO scores
- Readability scores
- Compliance pass rate
Business:
- Total generations
- Cost per piece
- Daily spending
- Most popular content types
Continuous Improvement
Weekly
- Review quality trends
- Analyze user feedback
- Optimize slow operations
- Update templates based on usage
Monthly
- Comprehensive performance review
- Cost optimization
- Feature usage analysis
- User satisfaction survey
- Template library expansion
Launch Checklist Version: 1.0
Last Updated: October 9, 2025
Status: Ready for Production Launch 🚀