Optimizing API Gateway Performance: Rate Limiting and Caching Strategies

Offload cross-cutting concerns like Auth, Rate Limiting, and Response Caching to an API Gateway (Kong, Nginx) or a dedicated Node.js middleware layer using Redis.

A Senior Node.js architect knows that protecting the 'business logic' services is key. Implementing Rate Limiting via a 'Token Bucket' algorithm in Redis prevents brute-force attacks and noisy neighbors. Caching (using ETags or Cache-Control headers) reduces the load on downstream services. The Gateway acts as a reverse proxy, handling SSL termination and request transformation.