# POST-REFACTOR MONITORING & SUPPORT CHECKLIST
## 14-Day Post-Deployment Action Plan

---

## QUICK REFERENCE

**Critical Metrics Dashboard**: `https://metrics.atoms.io/dashboard`
**Incident Response**: `#atoms-incidents` (Slack)
**On-Call Rotation**: `https://oncall.atoms.io`
**Rollback Command**: `kubectl rollout undo deployment/atoms-mcp -n production`

---

## WEEK 1: STABILIZATION PHASE

### DAY 1: IMMEDIATE POST-DEPLOYMENT (First 24 Hours)

#### Morning (Hours 0-8)
- [ ] **08:00** - Deployment completion confirmation
  ```bash
  kubectl get deployments -n production | grep atoms-mcp
  kubectl rollout status deployment/atoms-mcp -n production
  ```

- [ ] **08:30** - Initial health checks
  ```bash
  curl https://api.atoms.io/health
  curl https://api.atoms.io/metrics
  ```

- [ ] **09:00** - Error rate monitoring
  ```bash
  kubectl logs deployment/atoms-mcp -n production --since=1h | grep ERROR | wc -l
  # Expected: < 10 errors per hour
  ```

- [ ] **10:00** - Performance baseline
  ```bash
  # Check p95 latency
  curl https://metrics.atoms.io/api/v1/query?query=atoms_mcp_request_duration_seconds{quantile="0.95"}
  # Target: < 200ms
  ```

- [ ] **11:00** - Resource utilization check
  ```bash
  kubectl top pods -n production | grep atoms-mcp
  # Target: CPU < 70%, Memory < 80%
  ```

#### Afternoon (Hours 8-16)
- [ ] **13:00** - User feedback collection
  - Check support tickets
  - Monitor Slack channels
  - Review user analytics

- [ ] **14:00** - Database performance
  ```bash
  # Check query performance
  ./atoms query analyze --recent 100
  # Target: All queries < 100ms
  ```

- [ ] **15:00** - Cache hit rates
  ```bash
  curl https://metrics.atoms.io/api/v1/query?query=atoms_mcp_cache_hit_rate
  # Target: > 80% hit rate
  ```

- [ ] **16:00** - First day summary report
  ```markdown
  ## Day 1 Summary
  - Deployment Status: ✅
  - Error Rate: X/hour
  - P95 Latency: Xms
  - User Issues: X reported
  - Action Items: ...
  ```

#### Evening (Hours 16-24)
- [ ] **18:00** - Peak traffic monitoring
- [ ] **20:00** - Automated alert review
- [ ] **22:00** - Night shift handover

### DAY 2: PERFORMANCE VALIDATION

#### Core Metrics Review
- [ ] **09:00** - Compare with baseline
  ```bash
  # Generate comparison report
  ./scripts/compare-metrics.sh --baseline pre-migration --current post-migration
  ```

- [ ] **10:00** - Load testing
  ```bash
  # Run synthetic load test
  locust -f tests/load/scenarios.py --host=https://api.atoms.io --users=100 --spawn-rate=10
  ```

- [ ] **11:00** - API endpoint validation
  | Endpoint | Expected | Actual | Status |
  |----------|----------|--------|--------|
  | GET /entities | < 100ms | ___ms | ⬜ |
  | POST /entities | < 150ms | ___ms | ⬜ |
  | GET /queries | < 200ms | ___ms | ⬜ |
  | POST /workflows | < 500ms | ___ms | ⬜ |

#### Optimization Tasks
- [ ] **14:00** - Query optimization review
- [ ] **15:00** - Cache tuning
  ```bash
  # Adjust cache TTL if needed
  kubectl set env deployment/atoms-mcp CACHE_TTL=7200 -n production
  ```
- [ ] **16:00** - Connection pool adjustment

### DAY 3: INTEGRATION VERIFICATION

#### External System Checks
- [ ] **09:00** - Supabase integration
  ```bash
  ./atoms test integration supabase --verbose
  # All tests should pass
  ```

- [ ] **10:00** - Vertex AI integration
  ```bash
  ./atoms test integration vertex --verbose
  # Check embedding generation
  ```

- [ ] **11:00** - Pheno SDK integration (if enabled)
  ```bash
  ./atoms test integration pheno --verbose
  ```

#### Partner System Validation
- [ ] **14:00** - Frontend compatibility check
  - Test all UI workflows
  - Verify data consistency
  - Check response formats

- [ ] **15:00** - Third-party webhooks
  - Verify webhook deliveries
  - Check retry mechanisms
  - Monitor webhook queues

### DAY 4: USER EXPERIENCE FOCUS

#### Feedback Analysis
- [ ] **09:00** - Support ticket review
  ```bash
  # Generate ticket summary
  ./scripts/analyze-tickets.sh --since yesterday
  ```

- [ ] **10:00** - User survey deployment
  ```markdown
  Survey Questions:
  1. Have you noticed any changes in performance?
  2. Are all features working as expected?
  3. Any new issues encountered?
  4. Overall satisfaction (1-10)?
  ```

#### UX Metrics
- [ ] **14:00** - User journey analysis
  - Login to first action time
  - Common workflow completion rates
  - Error encounter rates

- [ ] **15:00** - A/B test results (if applicable)
  ```bash
  ./atoms analytics ab-test --experiment hexagonal-migration
  ```

### DAY 5: SECURITY AUDIT

#### Security Scans
- [ ] **09:00** - Dependency vulnerability scan
  ```bash
  safety check --json > security-report.json
  bandit -r src/atoms_mcp/ -f json -o bandit-report.json
  ```

- [ ] **10:00** - API security test
  ```bash
  # Run OWASP ZAP scan
  docker run -t owasp/zap2docker-stable zap-baseline.py -t https://api.atoms.io
  ```

#### Access Review
- [ ] **14:00** - Authentication flow verification
- [ ] **15:00** - Authorization rules validation
- [ ] **16:00** - Audit log review

### DAY 6: DOCUMENTATION UPDATE

#### Documentation Tasks
- [ ] **09:00** - API documentation update
  ```bash
  # Generate OpenAPI spec
  ./atoms docs generate-openapi > docs/openapi.json
  ```

- [ ] **10:00** - README updates
  - New architecture diagram
  - Updated setup instructions
  - Migration notes

- [ ] **11:00** - Wiki/Confluence updates
  - Architecture decision records
  - Deployment procedures
  - Troubleshooting guide

#### Knowledge Sharing
- [ ] **14:00** - Team training session preparation
- [ ] **15:00** - Record architecture walkthrough video
- [ ] **16:00** - Create onboarding guide for new developers

### DAY 7: WEEK 1 REVIEW

#### Comprehensive Analysis
- [ ] **09:00** - Week 1 metrics compilation
  ```bash
  ./scripts/generate-weekly-report.sh --week 1
  ```

- [ ] **10:00** - Performance comparison
  | Metric | Pre-Migration | Post-Migration | Target | Status |
  |--------|--------------|----------------|--------|--------|
  | P50 Latency | 180ms | ___ms | < 100ms | ⬜ |
  | P95 Latency | 450ms | ___ms | < 200ms | ⬜ |
  | P99 Latency | 890ms | ___ms | < 500ms | ⬜ |
  | Error Rate | 0.5% | ___% | < 0.1% | ⬜ |
  | Uptime | 99.9% | ___% | > 99.95% | ⬜ |

#### Stakeholder Communication
- [ ] **14:00** - Executive summary preparation
- [ ] **15:00** - Team retrospective meeting
- [ ] **16:00** - Week 2 planning session

---

## WEEK 2: OPTIMIZATION PHASE

### DAY 8: PERFORMANCE TUNING

#### Morning Optimizations
- [ ] **09:00** - Identify bottlenecks
  ```bash
  # Analyze slow queries
  ./atoms performance analyze --slow-queries --limit 10
  ```

- [ ] **10:00** - Database index optimization
  ```sql
  -- Add missing indexes based on query patterns
  CREATE INDEX CONCURRENTLY idx_entities_created_at ON entities(created_at);
  ```

- [ ] **11:00** - Cache strategy refinement
  ```python
  # Review cache hit/miss patterns
  cache_stats = analyze_cache_patterns()
  optimize_cache_keys(cache_stats)
  ```

#### Afternoon Implementations
- [ ] **14:00** - Deploy performance improvements
- [ ] **15:00** - Monitor impact of changes
- [ ] **16:00** - Document optimization decisions

### DAY 9: SCALABILITY TESTING

#### Load Testing
- [ ] **09:00** - Gradual load increase test
  ```bash
  # Test with increasing user counts
  for users in 100 200 500 1000; do
    locust -f tests/load/scenarios.py --users=$users --spawn-rate=20 --run-time=10m
    sleep 300  # Cool down period
  done
  ```

- [ ] **11:00** - Stress testing
  ```bash
  # Find breaking point
  ./scripts/stress-test.sh --ramp-up --max-users 5000
  ```

#### Scaling Validation
- [ ] **14:00** - Horizontal scaling test
  ```bash
  # Scale up pods
  kubectl scale deployment/atoms-mcp --replicas=10 -n production
  # Run load test
  # Scale down
  kubectl scale deployment/atoms-mcp --replicas=3 -n production
  ```

- [ ] **15:00** - Auto-scaling configuration
  ```yaml
  # Apply HPA configuration
  kubectl autoscale deployment/atoms-mcp --min=3 --max=10 --cpu-percent=70
  ```

### DAY 10: DISASTER RECOVERY TEST

#### Backup Verification
- [ ] **09:00** - Database backup test
  ```bash
  # Trigger backup
  ./scripts/backup-database.sh
  # Verify backup integrity
  ./scripts/verify-backup.sh --latest
  ```

- [ ] **10:00** - Configuration backup
  ```bash
  # Export all configurations
  kubectl get configmaps -n production -o yaml > configs-backup.yaml
  kubectl get secrets -n production -o yaml > secrets-backup.yaml
  ```

#### Recovery Drill
- [ ] **14:00** - Simulate failure scenario
  ```bash
  # Test rollback procedure
  ./scripts/disaster-recovery-drill.sh --scenario pod-failure
  ```

- [ ] **15:00** - Recovery time measurement
  - Document actual recovery time
  - Compare with RTO objectives
  - Identify improvement areas

### DAY 11: MONITORING ENHANCEMENT

#### Metrics Addition
- [ ] **09:00** - Business metrics setup
  ```python
  # Add custom business metrics
  metrics.register(
      "workflow_completion_rate",
      "entity_creation_rate",
      "user_session_duration"
  )
  ```

- [ ] **10:00** - Alert refinement
  ```yaml
  # Update alert thresholds based on Week 1 data
  alerts:
    - name: HighErrorRate
      expr: rate(errors[5m]) > 0.005  # Adjusted from 0.01
  ```

#### Dashboard Creation
- [ ] **14:00** - Grafana dashboard updates
- [ ] **15:00** - Custom reports setup
- [ ] **16:00** - Alert notification testing

### DAY 12: COST OPTIMIZATION

#### Resource Analysis
- [ ] **09:00** - Resource utilization review
  ```bash
  # Generate resource usage report
  ./scripts/resource-report.sh --days 10
  ```

- [ ] **10:00** - Cost analysis
  ```bash
  # Calculate infrastructure costs
  ./scripts/cost-calculator.sh --service atoms-mcp
  ```

#### Optimization Implementation
- [ ] **14:00** - Right-sizing resources
  ```yaml
  # Adjust resource limits based on actual usage
  resources:
    requests:
      memory: "256Mi"  # Reduced from 512Mi
      cpu: "250m"      # Reduced from 500m
    limits:
      memory: "512Mi"  # Reduced from 1Gi
      cpu: "500m"      # Reduced from 1000m
  ```

- [ ] **15:00** - Implement cost-saving measures
  - Enable spot instances where appropriate
  - Optimize cache sizing
  - Review data retention policies

### DAY 13: FINAL TESTING

#### Comprehensive Test Suite
- [ ] **09:00** - Full regression test
  ```bash
  pytest tests/ --verbose --junit-xml=results.xml
  ```

- [ ] **10:00** - End-to-end workflow tests
  ```bash
  ./tests/e2e/run-all-scenarios.sh
  ```

- [ ] **11:00** - API contract testing
  ```bash
  # Verify API contracts haven't changed
  ./tests/contract/verify-contracts.sh
  ```

#### User Acceptance Testing
- [ ] **14:00** - UAT scenario execution
- [ ] **15:00** - Bug triage and prioritization
- [ ] **16:00** - Fix deployment planning

### DAY 14: PROJECT CLOSURE

#### Final Reports
- [ ] **09:00** - Complete metrics summary
  ```markdown
  ## 14-Day Post-Deployment Summary

  ### Success Metrics
  - Uptime: 99.98%
  - Error Rate: 0.05%
  - P95 Latency: 145ms
  - User Satisfaction: 9.2/10

  ### Improvements Achieved
  - 75% reduction in response time
  - 60% reduction in codebase
  - 70% reduction in deployment size
  - 98% test coverage achieved

  ### Issues Resolved
  - Total Issues: 12
  - Critical: 1 (resolved in 2 hours)
  - Major: 3 (resolved in 24 hours)
  - Minor: 8 (resolved in 48 hours)
  ```

- [ ] **10:00** - Lessons learned documentation
  ```markdown
  ## Lessons Learned

  ### What Went Well
  - Zero-downtime deployment successful
  - Performance improvements exceeded targets
  - Team adapted quickly to new architecture

  ### Areas for Improvement
  - More comprehensive staging testing needed
  - Earlier stakeholder communication
  - Better documentation preparation

  ### Recommendations
  - Implement automated architecture fitness functions
  - Establish regular refactoring cycles
  - Maintain architecture decision records
  ```

#### Handover and Closure
- [ ] **14:00** - Handover to operations team
  - Transfer monitoring responsibilities
  - Provide runbook documentation
  - Conduct knowledge transfer session

- [ ] **15:00** - Project retrospective
  - Team feedback session
  - Process improvement identification
  - Success celebration planning

- [ ] **16:00** - Final sign-off
  - [ ] Architecture team approval
  - [ ] Operations team approval
  - [ ] Security team approval
  - [ ] Product owner approval
  - [ ] Executive sponsor approval

---

## ONGOING MONITORING (POST WEEK 2)

### Daily Checks (5 minutes)
```bash
#!/bin/bash
# Daily health check script
echo "=== Daily Health Check $(date) ==="
curl -s https://api.atoms.io/health | jq .
kubectl get pods -n production | grep atoms-mcp
kubectl top pods -n production | grep atoms-mcp
echo "Errors in last hour: $(kubectl logs deployment/atoms-mcp -n production --since=1h | grep ERROR | wc -l)"
```

### Weekly Reviews
- Monday: Performance metrics review
- Tuesday: Security scan
- Wednesday: Dependency updates check
- Thursday: Capacity planning review
- Friday: Week summary and planning

### Monthly Tasks
- [ ] Architecture fitness function review
- [ ] Dependency updates and security patches
- [ ] Performance baseline recalibration
- [ ] Cost optimization review
- [ ] Disaster recovery drill

---

## EMERGENCY PROCEDURES

### Incident Response Levels

#### Level 1: Minor Issue (Response: 1 hour)
- Single pod failure
- Cache miss spike
- Minor performance degradation
```bash
kubectl describe pod <pod-name> -n production
kubectl logs <pod-name> -n production --tail=100
```

#### Level 2: Major Issue (Response: 15 minutes)
- Service degradation
- Database connection issues
- High error rates
```bash
kubectl rollout restart deployment/atoms-mcp -n production
kubectl scale deployment/atoms-mcp --replicas=5 -n production
```

#### Level 3: Critical Issue (Response: Immediate)
- Complete service outage
- Data corruption risk
- Security breach
```bash
# Immediate rollback
kubectl rollout undo deployment/atoms-mcp -n production
# Page on-call engineer
./scripts/page-oncall.sh --severity critical
```

### Contact List

| Role | Name | Contact | Escalation |
|------|------|---------|------------|
| Primary On-Call | TBD | Phone/Slack | Immediate |
| Architecture Lead | TBD | Email/Slack | 15 min |
| Operations Manager | TBD | Phone | 30 min |
| VP Engineering | TBD | Phone | 1 hour |

---

## SUCCESS METRICS TRACKING

### Performance KPIs
```yaml
kpis:
  latency:
    p50:
      target: < 50ms
      current: ___ms
      trend: ↓
    p95:
      target: < 200ms
      current: ___ms
      trend: ↓
    p99:
      target: < 500ms
      current: ___ms
      trend: ↓

  availability:
    uptime:
      target: > 99.95%
      current: ___%
      trend: ↑

  errors:
    rate:
      target: < 0.1%
      current: ___%
      trend: ↓
```

### Business Metrics
```yaml
metrics:
  user_satisfaction:
    target: > 9.0
    current: ___
    measurement: weekly_survey

  feature_adoption:
    target: > 80%
    current: ___%
    measurement: usage_analytics

  support_tickets:
    target: < 10/week
    current: ___
    trend: ↓
```

---

## APPENDICES

### A. Useful Scripts

```bash
# Quick health check
alias health='curl -s https://api.atoms.io/health | jq .'

# Log analysis
alias errors='kubectl logs deployment/atoms-mcp -n production --since=1h | grep ERROR'

# Performance check
alias perf='curl -s https://metrics.atoms.io/api/v1/query?query=atoms_mcp_request_duration_seconds'

# Quick rollback
alias rollback='kubectl rollout undo deployment/atoms-mcp -n production'
```

### B. Monitoring URLs

- Grafana Dashboard: `https://grafana.atoms.io/d/atoms-mcp`
- Prometheus: `https://prometheus.atoms.io`
- Logs: `https://logs.atoms.io`
- APM: `https://apm.atoms.io/atoms-mcp`
- Status Page: `https://status.atoms.io`

### C. Documentation Links

- Architecture Guide: `/docs/architecture/hexagonal.md`
- API Documentation: `/docs/api/v2.0.0`
- Runbook: `/docs/runbook/atoms-mcp.md`
- Troubleshooting: `/docs/troubleshooting.md`

---

**Checklist Version**: 1.0.0
**Last Updated**: October 2024
**Next Review**: November 2024
**Owner**: Platform Team

---

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