Distributed Caching Strategies with Redis

This architectural pattern focuses on system resilience, scalability, and maintainability in high-load Node.js environments.

At the architecture level, Node.js applications must transition from monolithic thinking to distributed systems. This involves managing service boundaries, ensuring data consistency across distributed databases (often using the Saga pattern), and implementing robust observability to track requests across service hops. Performance is maintained through non-blocking I/O, but system-wide stability is managed through Circuit Breakers and API Gateways.