How do you integrate Redis with microservices architecture?

Redis serves as shared infrastructure for microservices, providing caching, session management, and inter-service communication.\n\n• **Shared Cache Layer:**\nCentral cache accessible by all services, reduces database load, improves response times, and ensures data consistency across services.\n\n• **Session Management:**\nDistributed sessions stored in Redis, enables stateless services, supports load balancing, and provides session persistence across deployments.\n\n• **Inter-Service Communication:**\nPub/Sub for real-time messaging, Redis Streams for event sourcing, and message queues for asynchronous processing.\n\n• **Implementation Example:**\nclass UserService:\n def get_user(self, user_id):\n cached = redis.get(f"user:{user_id}")\n if cached:\n return json.loads(cached)\n user = database.get_user(user_id)\n redis.setex(f"user:{user_id}", 3600, json.dumps(user))\n return user\n\n• **Distributed Locking:**\nCoordinates access to shared resources, prevents race conditions, ensures data integrity, and manages critical sections across services.\n\n• **Configuration Management:**\nCentralized config storage, real-time updates, feature flags, and environment-specific settings.\n\n• **Best Practices:**\nUse connection pooling, implement circuit breakers, monitor Redis health, secure with authentication, and plan for failover scenarios.