nodejs-backend-patterns

Structure a production-ready Node.js API using a layered architecture that separates controllers, services, repositories, and middleware. This prevents fragile code by applying secure defaults like security headers, CORS, compression, consistent JSON body handling, and request logging.

Implement JWT authentication and global error handling in Express or Fastify by composing custom middleware, defining custom error classes, and applying schema-based validation to ensure operationally safe request handling and standardized API responses.

Node.js backends fail under high traffic without rate limiting and database connection pooling due to unmanaged request surges and resource exhaustion. Applying Redis-based rate limiting and pooled database integration prevents these reliability failures.

Yes, you can use these patterns for both REST and GraphQL microservices. The design applies to building authenticated endpoints, middleware composition, input validation, and consistent response contracts across different API architectures.

Redis is often used to set up rate limiting for a Node.js API because it provides distributed, operationally safe request throttling. While not strictly mandatory, Redis-backed rate limiting prevents abuse and ensures consistent limits across multiple service instances.