Production Deployment

Production Deployment

This guide covers deploying TradeX services to production.

Architecture

Production deployments typically use:

• Container Orchestration: Kubernetes, Docker Swarm, or similar
• Load Balancers: Nginx, Traefik, or cloud load balancers
• Service Mesh: For inter-service communication
• Monitoring: Prometheus, Grafana
• Logging: Centralized logging solution

Deployment Options

Docker Compose

For smaller deployments:

version: '3.8'
services:
  marketdata:
    image: tradex/marketdata:latest
    ports:
      - "3002:3002"
    environment:
      - DATABASE_URL=postgresql://...

Kubernetes

For scalable deployments:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: marketdata-service
spec:
  replicas: 3
  template:
    spec:
      containers:
      - name: marketdata
        image: tradex/marketdata:latest

Environment Variables

Configure production environment variables:

• Database URLs: Connection strings for MongoDB, PostgreSQL
• Redis URLs: Cache and session storage
• Kafka Brokers: Event streaming endpoints
• API Keys: External service credentials
• Secrets: JWT signing keys, encryption keys

Security Considerations

1. HTTPS Only: Use TLS/SSL for all external communication
2. API Key Rotation: Regularly rotate API keys
3. Network Policies: Restrict inter-service communication
4. Secrets Management: Use a secrets manager (Vault, AWS Secrets Manager)
5. Rate Limiting: Configure appropriate rate limits
6. Monitoring: Set up alerts for suspicious activity

Monitoring

Metrics

• Service health endpoints
• Request rates and latencies
• Error rates
• Database connection pools
• Kafka consumer lag

Logging

• Structured logging (JSON)
• Centralized log aggregation
• Log retention policies
• Alert on critical errors

Scaling

Horizontal Scaling

• Stateless services can be scaled horizontally
• Use load balancers to distribute traffic
• Database connection pooling

Vertical Scaling

• Increase resources for compute-intensive services
• Optimize database queries
• Cache frequently accessed data

Backup and Recovery

• Database Backups: Regular automated backups
• Disaster Recovery: Multi-region deployments
• Data Retention: Configure retention policies
• Recovery Testing: Regular recovery drills

CI/CD

Automate deployments with:

• GitHub Actions: CI/CD pipelines
• Docker Registry: Container image storage
• Deployment Automation: Automated rollouts
• Rollback Procedures: Quick rollback on issues