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Deployment Guide

This guide covers production deployment strategies for faneX-ID, including high availability, scaling, and best practices.

Deployment Strategies

Single Server Deployment

Use Case: Small to medium organizations, development/testing

Architecture:

┌─────────────────────────────────┐
│     Single Server               │
│  ┌──────────┐  ┌──────────┐    │
│  │ Frontend │  │ Backend  │    │
│  └──────────┘  └──────────┘    │
│       │              │          │
│       └──────┬───────┘          │
│              │                  │
│         ┌────▼────┐             │
│         │Database │             │
│         └─────────┘             │
└─────────────────────────────────┘

Pros: - Simple setup - Low resource requirements - Easy maintenance

Cons: - Single point of failure - Limited scalability - No redundancy

High Availability Deployment

Use Case: Production environments requiring uptime

Architecture:

┌──────────────┐      ┌──────────────┐
│ Load Balancer│      │ Load Balancer│
└──────┬───────┘      └──────┬───────┘
       │                     │
   ┌───▼───┐             ┌───▼───┐
   │Frontend│            │Backend │
   │Server 1│            │Server 1│
   └───┬───┘             └───┬───┘
       │                     │
   ┌───▼───┐             ┌───▼───┐
   │Frontend│            │Backend │
   │Server 2│            │Server 2│
   └───────┘             └───┬───┘
                    ┌────────▼────────┐
                    │  Database       │
                    │  (Replicated)   │
                    └─────────────────┘

Components: - Load balancer (nginx, HAProxy, or cloud LB) - Multiple frontend instances - Multiple backend instances - Replicated database (PostgreSQL streaming replication)

Container Orchestration

Use Case: Large-scale deployments, cloud environments

Options: - Kubernetes: Full orchestration, auto-scaling - Docker Swarm: Simpler orchestration - Cloud Services: AWS ECS, Azure Container Instances, GCP Cloud Run

Production Checklist

Pre-Deployment

  • [ ] Hardware requirements met
  • [ ] Network configuration complete
  • [ ] SSL certificates obtained
  • [ ] Database configured and tested
  • [ ] Backup strategy defined
  • [ ] Monitoring tools configured
  • [ ] Security hardening applied
  • [ ] Documentation reviewed

Deployment Steps

  1. Infrastructure Setup:
  2. Provision servers
  3. Configure networking
  4. Set up load balancer
  5. Configure firewall rules

  6. Database Setup:

  7. Install PostgreSQL
  8. Configure replication (if HA)
  9. Set up backups
  10. Test connectivity

  11. Application Deployment:

  12. Deploy containers/images
  13. Configure environment variables
  14. Run database migrations
  15. Verify services start

  16. Load Balancer Configuration:

  17. Configure upstream servers
  18. Set up SSL termination
  19. Configure health checks
  20. Test load balancing

  21. DNS Configuration:

  22. Point domain to load balancer
  23. Configure SSL certificates
  24. Test DNS resolution

  25. Verification:

  26. Health check endpoints
  27. Functional testing
  28. Performance testing
  29. Security scanning

Docker Compose Production Setup

Production docker-compose.yml

version: '3.8'

services:
  backend:
    image: ghcr.io/fanex-id/core/backend:latest
    restart: always
    environment:
      - DATABASE_URL=postgresql://user:pass@db:5432/fanexiddb
      - SECRET_KEY=${SECRET_KEY}
      - DEBUG=false
    depends_on:
      - db
    networks:
      - fanexid-network

  frontend:
    image: ghcr.io/fanex-id/core/frontend:latest
    restart: always
    environment:
      - VITE_API_URL=https://api.yourdomain.com
    depends_on:
      - backend
    networks:
      - fanexid-network

  db:
    image: postgres:15
    restart: always
    environment:
      - POSTGRES_USER=fanexid
      - POSTGRES_PASSWORD=${DB_PASSWORD}
      - POSTGRES_DB=fanexiddb
    volumes:
      - postgres-data:/var/lib/postgresql/data
    networks:
      - fanexid-network

  nginx:
    image: nginx:alpine
    restart: always
    ports:
      - "80:80"
      - "443:443"
    volumes:
      - ./nginx.conf:/etc/nginx/nginx.conf
      - ./ssl:/etc/nginx/ssl
    depends_on:
      - frontend
      - backend
    networks:
      - fanexid-network

volumes:
  postgres-data:

networks:
  fanexid-network:
    driver: bridge

Nginx Configuration

upstream backend {
    server backend:8000;
}

upstream frontend {
    server frontend:3000;
}

server {
    listen 80;
    server_name yourdomain.com;
    return 301 https://$server_name$request_uri;
}

server {
    listen 443 ssl http2;
    server_name yourdomain.com;

    ssl_certificate /etc/nginx/ssl/cert.pem;
    ssl_certificate_key /etc/nginx/ssl/key.pem;

    # Frontend
    location / {
        proxy_pass http://frontend;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    # Backend API
    location /api {
        proxy_pass http://backend;
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }
}

Scaling Strategies

Horizontal Scaling

Frontend Scaling: - Deploy multiple frontend instances - Use load balancer for distribution - Stateless design allows easy scaling

Backend Scaling: - Deploy multiple backend instances - Use load balancer with session affinity (if needed) - Ensure database connection pooling

Vertical Scaling

  • Increase server resources (CPU, RAM)
  • Upgrade database server
  • Optimize application performance

Database Scaling

  • Read Replicas: For read-heavy workloads
  • Connection Pooling: Optimize database connections
  • Query Optimization: Improve query performance
  • Caching: Implement Redis for caching

Monitoring & Logging

Application Monitoring

  1. Health Endpoints:
  2. /api/system/status - System health
  3. /api/system/metrics - Performance metrics

  4. Logging:

  5. Application logs
  6. Access logs
  7. Error logs
  8. Audit logs

  9. Metrics:

  10. Response times
  11. Error rates
  12. Resource usage
  13. Database performance

Monitoring Tools

  • Prometheus + Grafana: Metrics and visualization
  • ELK Stack: Log aggregation and analysis
  • Sentry: Error tracking
  • Uptime Monitoring: External monitoring services

Backup & Recovery

Backup Strategy

  1. Database Backups:
  2. Daily full backups
  3. Hourly incremental backups
  4. Off-site backup storage

  5. Configuration Backups:

  6. Export system configuration
  7. Backup SSL certificates
  8. Document custom settings

  9. Application Backups:

  10. Container images
  11. Configuration files
  12. Custom integrations

Recovery Procedures

  1. Database Recovery:
  2. Restore from backup
  3. Verify data integrity
  4. Test application functionality

  5. Full System Recovery:

  6. Restore infrastructure
  7. Deploy application
  8. Restore database
  9. Verify functionality

Security Considerations

  1. Network Security:
  2. Firewall rules
  3. VPN access
  4. DDoS protection

  5. Application Security:

  6. SSL/TLS encryption
  7. Security headers
  8. Rate limiting
  9. Input validation

  10. Access Control:

  11. Strong authentication
  12. Role-based access
  13. Audit logging
  14. Regular security audits

Performance Optimization

  1. Caching:
  2. Redis for session storage
  3. CDN for static assets
  4. Application-level caching

  5. Database Optimization:

  6. Index optimization
  7. Query optimization
  8. Connection pooling

  9. Application Optimization:

  10. Code optimization
  11. Resource optimization
  12. Load balancing

Maintenance Windows

  1. Schedule Maintenance:
  2. Plan during low-usage periods
  3. Notify users in advance
  4. Prepare rollback plan

  5. Update Procedures:

  6. Test in staging first
  7. Backup before updates
  8. Deploy during maintenance window
  9. Verify functionality
  10. Monitor for issues

Ready for production? Review the Security Guide and Maintenance Guide for ongoing operations.