# Going to Production - Final Checklist

## 📋 Pre-Production Planning

### 1. Infrastructure Decision
- [ ] Choose deployment platform:
  - [ ] VPS (DigitalOcean, Linode, AWS EC2)
  - [ ] Kubernetes (EKS, GKE, AKS)
  - [ ] Managed services (AWS Lightsail, Heroku)
  - [ ] On-premises
- [ ] Estimate monthly cost
- [ ] Plan scaling strategy
- [ ] Choose database provider (RDS, Cloud SQL, self-hosted)
- [ ] Choose cache provider (ElastiCache, Redis Cloud, self-hosted)

### 2. Security Audit
- [ ] All secrets moved to environment variables
- [ ] No credentials in source code
- [ ] HTTPS/TLS configured
- [ ] Firewall rules set up
- [ ] DDoS protection enabled (if needed)
- [ ] Rate limiting configured
- [ ] Input validation implemented
- [ ] Database backups configured
- [ ] Access logs enabled
- [ ] Regular security scanning enabled

### 3. Monitoring Setup
- [ ] Logging aggregation configured (ELK, Datadog, CloudWatch)
- [ ] Metrics collection enabled (Prometheus, Datadog, CloudWatch)
- [ ] Alerting configured for critical issues
- [ ] Health check endpoints implemented
- [ ] Uptime monitoring service activated
- [ ] Performance baseline established
- [ ] Error tracking enabled (Sentry, Rollbar)

### 4. Backup & Recovery
- [ ] Daily automated database backups
- [ ] Backup storage in different region
- [ ] Backup verification automated
- [ ] Recovery procedure documented
- [ ] Recovery tested successfully
- [ ] Retention policy defined (7-30 days)
- [ ] Point-in-time recovery possible

### 5. Testing
- [ ] Load testing completed
- [ ] Failover testing done
- [ ] Disaster recovery tested
- [ ] Security testing done
- [ ] Performance benchmarks established
- [ ] Compatibility testing across devices
- [ ] Integration testing with Telegram API

## 🔧 Infrastructure Preparation

### 1. VPS/Server Setup (if using VPS)
```bash
# Update system
sudo apt update && sudo apt upgrade -y

# Install Docker
curl -fsSL https://get.docker.com -o get-docker.sh
sudo sh get-docker.sh

# Install Docker Compose
sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
sudo chmod +x /usr/local/bin/docker-compose

# Create non-root user
sudo useradd -m -s /bin/bash bot_user
sudo usermod -aG docker bot_user
```

### 2. Domain Setup (if using custom domain)
- [ ] Domain purchased and configured
- [ ] DNS records pointing to server
- [ ] SSL certificate obtained (Let's Encrypt)
- [ ] HTTPS configured
- [ ] Redirect HTTP to HTTPS

### 3. Database Preparation
- [ ] PostgreSQL configured for production
- [ ] Connection pooling configured
- [ ] Backup strategy implemented
- [ ] Indexes optimized
- [ ] WAL archiving enabled
- [ ] Streaming replication configured (if HA needed)
- [ ] Maximum connections appropriate

### 4. Cache Layer Setup
- [ ] Redis configured for production
- [ ] Persistence enabled
- [ ] Password set
- [ ] Memory limit configured
- [ ] Eviction policy set
- [ ] Monitoring enabled

### 5. Network Configuration
- [ ] Firewall rules configured
  - [ ] Allow port 443 (HTTPS)
  - [ ] Allow port 80 (HTTP redirect)
  - [ ] Restrict SSH to specific IPs (if possible)
  - [ ] Restrict database access to app servers
- [ ] VPN configured (if needed)
- [ ] Load balancer set up (if multiple servers)
- [ ] CDN configured (if needed)

## 📝 Configuration Finalization

### 1. Environment Variables
- [ ] All production credentials configured
- [ ] Telegram bot token verified
- [ ] Database credentials secure
- [ ] Redis password strong
- [ ] API keys rotated
- [ ] Feature flags set correctly
- [ ] Logging level set to INFO
- [ ] Debug mode disabled

### 2. Application Configuration
```env
# Critical for Production
DEBUG=False
LOG_LEVEL=INFO
ENVIRONMENT=production
ALLOWED_HOSTS=yourdomain.com
CORS_ORIGINS=yourdomain.com

# Database
DB_POOL_SIZE=30
DB_MAX_OVERFLOW=10
DB_POOL_TIMEOUT=30

# Security
SECRET_KEY=generated_strong_key
SECURE_SSL_REDIRECT=True
SESSION_COOKIE_SECURE=True
CSRF_COOKIE_SECURE=True

# Rate Limiting
RATE_LIMIT_ENABLED=True
RATE_LIMIT_PER_MINUTE=100
```

### 3. Logging Configuration
- [ ] Log rotation enabled
- [ ] Log aggregation configured
- [ ] Error logging enabled
- [ ] Access logging enabled
- [ ] Performance logging enabled
- [ ] Sensitive data not logged

### 4. Monitoring Configuration
```yaml
# prometheus.yml or similar
scrape_configs:
  - job_name: 'telegram_bot'
    static_configs:
      - targets: ['localhost:8000']
    scrape_interval: 15s
```
- [ ] Metrics collection configured
- [ ] Alert rules defined
- [ ] Dashboard created
- [ ] Notification channels configured

## 🚀 Deployment Execution

### 1. Final Testing
```bash
# Test in staging
docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d

# Run migrations
docker-compose exec bot alembic upgrade head

# Test bot functionality
# - Create test message
# - Test broadcast
# - Test scheduling
# - Monitor Flower dashboard
# - Check logs for errors

# Load testing
# - Send 100+ messages
# - Monitor resource usage
# - Check response times
```

### 2. Deployment Steps
```bash
# 1. Pull latest code
git pull origin main

# 2. Build images
docker-compose build

# 3. Start services
docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d

# 4. Run migrations
docker-compose exec bot alembic upgrade head

# 5. Verify services
docker-compose ps

# 6. Check logs
docker-compose logs -f

# 7. Health check
curl http://localhost:5555  # Flower
```

### 3. Post-Deployment Verification
```bash
# Database
docker-compose exec postgres psql -U bot -d tg_autoposter -c "SELECT version();"

# Redis
docker-compose exec redis redis-cli ping

# Bot
docker-compose logs bot --tail 20 | grep -i error

# Celery Workers
docker-compose logs celery_worker_send --tail 10

# Flower
# Check http://yourdomain.com:5555
```

## 📊 Post-Launch Monitoring

### 1. First Week Monitoring
- [ ] Monitor resource usage hourly
- [ ] Check error logs daily
- [ ] Review performance metrics
- [ ] Test backup/restore procedures
- [ ] Monitor bot responsiveness
- [ ] Check Flower for failed tasks
- [ ] Verify database is growing normally
- [ ] Monitor network traffic

### 2. Ongoing Monitoring
- [ ] Set up automated alerts
- [ ] Daily log review (automated)
- [ ] Weekly performance review
- [ ] Monthly cost analysis
- [ ] Quarterly security audit
- [ ] Backup verification (weekly)
- [ ] Dependency updates (monthly)

### 3. Maintenance Schedule
```
Daily:   Check logs, monitor uptime
Weekly:  Review metrics, test backups
Monthly: Security scan, update dependencies
Quarterly: Full security audit, capacity planning
```

## 🔒 Security Hardening

### 1. Application Security
- [ ] Enable HTTPS only
- [ ] Set security headers
- [ ] Implement rate limiting
- [ ] Enable CORS properly
- [ ] Validate all inputs
- [ ] Use parameterized queries (already done with SQLAlchemy)
- [ ] Hash sensitive data
- [ ] Encrypt sensitive fields (optional)

### 2. Infrastructure Security
- [ ] Firewall configured
- [ ] SSH key-based auth only
- [ ] Fail2ban or similar enabled
- [ ] Regular security updates
- [ ] No unnecessary services running
- [ ] Minimal privileges for services
- [ ] Network segmentation

### 3. Data Security
- [ ] Encrypted backups
- [ ] Encrypted in-transit (HTTPS)
- [ ] Encrypted at-rest (database)
- [ ] PII handling policy
- [ ] Data retention policy
- [ ] GDPR/privacy compliance
- [ ] Regular penetration testing

## 📈 Scaling Strategy

### When to Scale
- Response time > 2 seconds
- CPU usage consistently > 80%
- Memory usage consistently > 80%
- Queue backlog growing
- Error rate increasing
- During peak usage times

### Horizontal Scaling
```bash
# Add more workers to docker-compose.prod.yml
# Example: 2 extra send workers

services:
  celery_worker_send_1:
    # existing config
    
  celery_worker_send_2:
    # duplicate and modify
    container_name: tg_autoposter_worker_send_prod_2
    
  celery_worker_send_3:
    # duplicate and modify
    container_name: tg_autoposter_worker_send_prod_3
```

### Vertical Scaling
- Increase docker resource limits
- Increase database memory
- Increase Redis memory
- Optimize queries and code

### Database Scaling
- Read replicas for read-heavy workloads
- Connection pooling
- Query optimization
- Caching layer (already implemented)
- Partitioning large tables (if needed)

## 📞 Support & Escalation

### Support Channels
- GitHub Issues for bugs
- GitHub Discussions for questions
- Email for critical issues
- Slack/Discord channel (optional)

### Escalation Path
1. Check logs and metrics
2. Review documentation
3. Search GitHub issues
4. Ask in GitHub discussions
5. Contact maintainers
6. Professional support (if available)

## ✅ Production Readiness Checklist

### Code Quality
- [ ] All tests passing
- [ ] No linting errors
- [ ] No type checking errors
- [ ] Code coverage > 60%
- [ ] No deprecated dependencies
- [ ] Security vulnerabilities fixed

### Infrastructure
- [ ] All services healthy
- [ ] Database optimized
- [ ] Cache configured
- [ ] Monitoring active
- [ ] Backups working
- [ ] Disaster recovery tested

### Documentation
- [ ] Deployment guide updated
- [ ] Runbooks created
- [ ] Troubleshooting guide complete
- [ ] API documentation ready
- [ ] Team trained

### Compliance
- [ ] Security audit passed
- [ ] Privacy policy updated
- [ ] Terms of service updated
- [ ] GDPR compliance checked
- [ ] Data handling policy defined

## 🎯 First Day Production Checklist

### Morning
- [ ] Check all services are running
- [ ] Review overnight logs
- [ ] Check error rates
- [ ] Verify backups completed
- [ ] Check resource usage

### During Day
- [ ] Monitor closely
- [ ] Be ready to rollback
- [ ] Test key functionality
- [ ] Monitor user feedback
- [ ] Check metrics frequently

### Evening
- [ ] Review daily summary
- [ ] Document any issues
- [ ] Verify backups again
- [ ] Plan for day 2
- [ ] Update runbooks if needed

## 🚨 Rollback Plan

If critical issues occur:

```bash
# Immediate: Stop new deployments
git reset --hard HEAD~1

# Rollback to previous version
docker-compose down
docker system prune -a
git checkout previous-tag
docker-compose up -d

# Run migrations (backward if needed)
docker-compose exec bot alembic downgrade -1

# Verify
docker-compose ps
docker-compose logs
```

## 📅 Post-Launch Review

Schedule review at:
- 1 week post-launch
- 1 month post-launch
- 3 months post-launch

Review points:
- Stability and uptime
- Performance vs baseline
- Cost analysis
- User feedback
- Scaling needs
- Security incidents (if any)
- Team feedback

## 🎉 Success Criteria

You're ready for production when:
- ✅ All tests passing
- ✅ Security audit passed
- ✅ Monitoring in place
- ✅ Backups verified
- ✅ Team trained
- ✅ Documentation complete
- ✅ Staging deployment successful
- ✅ Load testing completed
- ✅ Disaster recovery tested
- ✅ Post-launch plan ready

## 📞 Emergency Contacts

Create a contact list:
- [ ] Tech lead: _________________
- [ ] DevOps engineer: _________________
- [ ] Database admin: _________________
- [ ] Security officer: _________________
- [ ] On-call rotation: _________________

---

**Document Version**: 1.0  
**Last Updated**: 2024-01-01  
**Status**: Production Ready ✅

**Remember**: Production is not a destination, it's a continuous journey of monitoring, optimization, and improvement. Stay vigilant and keep learning!