# Deployment Guide

**Version:** 1.0.0
**Date:** January 30, 2026
**Target Environment:** Production

## Pre-Deployment Checklist

### Security & Compliance
- [ ] All secrets moved to environment variables
- [ ] No sensitive data in git history
- [ ] No hardcoded API keys or credentials
- [ ] HTTPS enforced
- [ ] CORS properly configured
- [ ] Rate limiting enabled
- [ ] WAF rules configured
- [ ] DDoS protection enabled

### Code Quality
- [ ] TypeScript compilation passes
- [ ] ESLint with zero warnings
- [ ] Prettier formatting applied
- [ ] Test coverage >90%
- [ ] All tests passing
- [ ] No console.log in production code
- [ ] No TODO/FIXME in critical paths

### Performance
- [ ] Bundle size optimized
- [ ] Images optimized
- [ ] CSS/JS minified
- [ ] Code splitting enabled
- [ ] Lazy loading configured
- [ ] CDN configured
- [ ] Caching headers set
- [ ] Database indexes created

### Database
- [ ] Migrations tested locally
- [ ] Database backup created
- [ ] RLS policies enabled
- [ ] Encryption enabled
- [ ] Connection pooling configured
- [ ] Monitoring enabled

### Infrastructure
- [ ] Load balancer configured
- [ ] Auto-scaling enabled
- [ ] Monitoring dashboards set up
- [ ] Alerting configured
- [ ] Logging aggregation enabled
- [ ] Error tracking enabled
- [ ] Backup strategy implemented

---

## Staging Deployment

### Pre-Staging Checklist
1. [ ] All code changes merged to develop
2. [ ] Latest code pulled locally
3. [ ] All tests passing
4. [ ] Documentation updated
5. [ ] Rollback plan documented

### Deploy to Staging

```bash
# 1. Set up staging environment
export ENVIRONMENT=staging
export NODE_ENV=production

# 2. Build application
bun run build

# 3. Run migrations (if any)
bun run migrate

# 4. Deploy to staging server
./scripts/deploy-staging.sh

# 5. Run smoke tests
bun run test:e2e critical-path.spec.ts
```

### Post-Staging Validation
1. [ ] Application starts successfully
2. [ ] Health checks pass
3. [ ] Database connectivity verified
4. [ ] API endpoints responding
5. [ ] UI loads correctly
6. [ ] Critical features working
7. [ ] Error logging active
8. [ ] Monitoring dashboards show data

### Staging Sign-off
- [ ] QA approval
- [ ] Product owner approval
- [ ] Tech lead approval
- [ ] DevOps approval

---

## Production Deployment

### Day Before Deployment
1. [ ] Create production database backup
2. [ ] Document rollback procedures
3. [ ] Notify support team
4. [ ] Schedule maintenance window
5. [ ] Prepare post-deployment verification checklist

### Pre-Production Deployment (2 hours before)
1. [ ] Code freeze confirmed
2. [ ] Release notes finalized
3. [ ] Deployment plan reviewed
4. [ ] Team on standby
5. [ ] Monitoring dashboards ready

### Production Deployment Procedure

#### Phase 1: Database Migration (15 minutes)
```bash
# 1. Create backup
pg_dump production > backup-2026-01-30.sql

# 2. Run migrations
bun run migrate:prod

# 3. Verify data integrity
./scripts/verify-db.sh

# 4. Test database connectivity
curl -X GET https://api.prod.example.com/health/db
```

#### Phase 2: Code Deployment (15 minutes)
```bash
# 1. Build optimized bundle
bun run build

# 2. Deploy to production servers (blue-green deployment)
./scripts/deploy-blue-green.sh

# 3. Health checks
curl -X GET https://api.prod.example.com/health
```

#### Phase 3: Validation (10 minutes)
```bash
# 1. Check error rates
curl -X GET https://api.prod.example.com/metrics/errors

# 2. Verify critical endpoints
./scripts/smoke-tests.sh

# 3. User testing
# - Login
# - Create project
# - Create item
# - Search functionality
```

#### Phase 4: Monitoring (Ongoing)
```bash
# 1. Watch error logs
tail -f /var/log/prod/error.log

# 2. Monitor performance metrics
./scripts/monitor-metrics.sh

# 3. User feedback collection
```

### Post-Deployment (30 minutes)
1. [ ] Monitor error rates (target: <0.1%)
2. [ ] Monitor response times (target: <500ms)
3. [ ] Check database performance
4. [ ] Verify all features working
5. [ ] Monitor user activity
6. [ ] Address any critical issues
7. [ ] Send deployment confirmation

### Success Criteria
- [ ] Application accessible
- [ ] Error rate <0.1%
- [ ] Response time <500ms
- [ ] All critical features working
- [ ] Database healthy
- [ ] Monitoring showing normal metrics
- [ ] No user complaints

---

## Rollback Procedure

### When to Rollback
- Critical feature broken
- Error rate >1%
- API response time >2s
- Database unavailable
- Data corruption detected
- Security vulnerability found

### Rollback Steps

#### Immediate Actions (0-5 minutes)
1. [ ] Alert incident commander
2. [ ] Page on-call team
3. [ ] Start rollback procedure
4. [ ] Update status page
5. [ ] Notify stakeholders

#### Rollback Execution (5-15 minutes)
```bash
# 1. Switch to previous version
./scripts/rollback-blue-green.sh

# 2. Verify rollback
curl -X GET https://api.prod.example.com/health

# 3. Run smoke tests
./scripts/smoke-tests.sh

# 4. Monitor metrics
watch -n 1 'curl -s https://api.prod.example.com/metrics | jq .'
```

#### Post-Rollback (15-30 minutes)
1. [ ] Verify system stability
2. [ ] Confirm user access
3. [ ] Monitor for issues
4. [ ] Notify users of status
5. [ ] Document incident
6. [ ] Schedule incident review

### Post-Rollback Actions
1. [ ] Investigate root cause
2. [ ] Fix identified issues
3. [ ] Add test coverage for issue
4. [ ] Schedule re-deployment
5. [ ] Update deployment checklist

---

## Deployment Scripts

### Health Check Script
```bash
#!/bin/bash
# scripts/health-check.sh

API_URL="https://api.prod.example.com"

echo "Checking application health..."

# API Health
if curl -f -s "${API_URL}/health" > /dev/null; then
    echo "✓ API health check passed"
else
    echo "✗ API health check failed"
    exit 1
fi

# Database Health
if curl -f -s "${API_URL}/health/db" > /dev/null; then
    echo "✓ Database health check passed"
else
    echo "✗ Database health check failed"
    exit 1
fi

# Cache Health
if curl -f -s "${API_URL}/health/cache" > /dev/null; then
    echo "✓ Cache health check passed"
else
    echo "✗ Cache health check failed"
    exit 1
fi

echo "All health checks passed!"
```

### Smoke Test Script
```bash
#!/bin/bash
# scripts/smoke-tests.sh

BASE_URL="https://api.prod.example.com"

echo "Running smoke tests..."

# Test critical endpoints
endpoints=(
    "GET /api/health"
    "GET /api/projects"
    "POST /api/projects"
    "GET /api/items"
    "POST /api/items"
)

for endpoint in "${endpoints[@]}"; do
    IFS=' ' read -r method path <<< "$endpoint"
    echo "Testing ${method} ${path}..."

    if curl -f -s -X "${method}" "${BASE_URL}${path}" > /dev/null; then
        echo "✓ ${method} ${path} passed"
    else
        echo "✗ ${method} ${path} failed"
        exit 1
    fi
done

echo "All smoke tests passed!"
```

---

## Monitoring & Alerting

### Key Metrics to Monitor

| Metric | Target | Alert Threshold |
|--------|--------|-----------------|
| Error Rate | <0.1% | >1% |
| Response Time (p95) | <500ms | >1000ms |
| Database Connections | <80% | >90% |
| Memory Usage | <70% | >85% |
| CPU Usage | <60% | >80% |
| Uptime | 99.9% | <99.5% |

### Alert Configuration
```yaml
# Example alert rules
alerts:
  - name: HighErrorRate
    condition: error_rate > 0.01
    duration: 5m
    severity: critical
    action: page_oncall

  - name: HighResponseTime
    condition: response_time_p95 > 1000
    duration: 10m
    severity: high
    action: notify_team

  - name: DatabaseConnectionPoolExhausted
    condition: db_connections > 0.9
    duration: 1m
    severity: critical
    action: page_oncall

  - name: MemoryUsageHigh
    condition: memory_usage > 0.85
    duration: 5m
    severity: high
    action: notify_team
```

### Log Aggregation
- All logs sent to centralized logging system
- Error logs separated for quick analysis
- Request logs for audit trail
- Access logs for performance analysis

---

## Documentation Requirements

### User Documentation
- [ ] Installation guide updated
- [ ] Feature documentation current
- [ ] API documentation updated
- [ ] Troubleshooting guide updated
- [ ] FAQ updated

### Developer Documentation
- [ ] Architecture documentation updated
- [ ] Setup guide updated
- [ ] Contributing guide updated
- [ ] Code standards documented
- [ ] Deployment guide current

### Release Notes
- [ ] Version information
- [ ] New features described
- [ ] Bug fixes listed
- [ ] Breaking changes noted
- [ ] Migration guide included

---

## Maintenance Windows

### Planned Maintenance
- Schedule: Tuesday-Thursday, 2-4 AM UTC
- Duration: Max 30 minutes
- Status page updated
- Users notified 48 hours in advance

### Emergency Maintenance
- As needed for critical issues
- Minimum 15-minute notification if possible
- Incident tracked and documented

---

## Post-Deployment Support

### Support Team Responsibilities
- [ ] Monitor error reports
- [ ] Track user complaints
- [ ] Respond to support tickets
- [ ] Escalate critical issues
- [ ] Document issues found

### First Week Monitoring
- [ ] Daily performance review
- [ ] Error log analysis
- [ ] User feedback review
- [ ] Database health check
- [ ] Resource utilization review

### Two-Week Review
- [ ] Stabilization complete
- [ ] All critical issues resolved
- [ ] User adoption metrics
- [ ] Performance baseline established
- [ ] Documentation completed

---

## Deployment Troubleshooting

### Common Issues & Solutions

#### Issue: Build Fails
**Solution:**
1. Check TypeScript compilation
2. Verify all dependencies installed
3. Check environment variables
4. Review build logs

#### Issue: Database Migration Fails
**Solution:**
1. Verify migration syntax
2. Check database connectivity
3. Review existing data
4. Test rollback procedure

#### Issue: High Error Rate After Deployment
**Solution:**
1. Check error logs immediately
2. Monitor for specific error patterns
3. Check recent code changes
4. Prepare rollback if needed

#### Issue: Performance Degradation
**Solution:**
1. Check resource utilization
2. Analyze slow queries
3. Review cache hit rates
4. Check for memory leaks

#### Issue: Database Connection Issues
**Solution:**
1. Check connection pool configuration
2. Verify database credentials
3. Review connection timeout settings
4. Monitor active connections

---

## Deployment Calendar

### Release Schedule
- **Release Day:** [TBD]
- **Deployment Window:** [TBD]
- **Maintenance Window:** [TBD]
- **Go-Live:** [TBD]

### Key Dates
- Code Freeze: 48 hours before deployment
- Testing Complete: 24 hours before deployment
- Staging Sign-off: 12 hours before deployment
- Production Deployment: [Scheduled Date]

---

## Sign-off

- [ ] Product Owner: _________________ Date: _______
- [ ] Tech Lead: _________________ Date: _______
- [ ] DevOps Lead: _________________ Date: _______
- [ ] QA Lead: _________________ Date: _______

---

## References

- Monitoring Dashboard: [Link]
- Incident Response Plan: `/docs/incident-response.md`
- Architecture: `/docs/architecture.md`
- API Reference: `/docs/api/reference.md`

---

**Status:** Ready for deployment
**Next Steps:** Schedule deployment date and notify team
