nodejs-backend-patterns

Structure a scalable Node.js backend using layered architecture by separating code into controllers, services, and repositories. This pattern enforces clean code separation and dependency injection, making maintainable services easier to test and evolve.

Implement production-grade authentication and validation in Express or Fastify using pre-configured middleware patterns. The skill integrates jsonwebtoken for auth and zod for robust request validation to ensure secure API endpoints.

Global error handling in a Node.js API works by using custom error classes and centralized middleware. This approach catches exceptions across the application, ensuring consistent API responses and preventing unhandled crashes.

You can use database connection pooling and Redis caching together in a Node.js service. The skill integrates pg for PostgreSQL connection pooling and ioredis for caching, optimizing data retrieval and overall performance.

Yes, the approach supports structured logging and performance optimization for high traffic APIs. It uses pino for fast structured logging and includes pre-configured rate limiting to maintain stability under heavy load.

You should avoid heavy dependency injection in a Node.js backend for very small, simple scripts where the architectural overhead outweighs the maintainability benefits. It is best suited for scalable, complex services requiring clean separation.