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TG_autoposter/GOING_TO_PRODUCTION.md
Andrew K. Choi a6817e487e init commit
2025-12-18 05:55:32 +09:00

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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)

# 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

# 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

# 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

# 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

# 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

# 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

# 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:

# 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!