backend-patterns

To structure a scalable Node.js and Express backend API, you should implement repository and service layer patterns. This separation isolates data access logic from business logic, ensuring your RESTful API remains maintainable as the application grows.

The N+1 query problem occurs when an ORM executes individual queries for related records, causing performance bottlenecks. You prevent it by applying query optimization techniques like eager loading or batching database transactions to fetch related data efficiently.

To implement centralized error handling in Next.js API routes, establish a consistent middleware pattern that catches exceptions across your endpoints. This approach standardizes error responses and integrates seamlessly with structured logging for debugging.

You should use caching strategies and rate limiting when your backend API experiences high traffic or needs to protect database resources. Caching reduces database load for frequent queries, while rate limiting prevents API abuse and ensures service availability.

Yes, this backend patterns guide covers authentication and authorization for Express. It provides server-side best practices to secure your RESTful API endpoints, ensuring proper identity verification and access control within your Node.js application.