backend-patterns

Implement the repository pattern in Node.js to abstract data access logic away from service layers. This separation creates maintainable backend architecture by centralizing database queries, preventing scattered SQL operations across controllers, and making service layers independently testable.

Prevent the N+1 query problem in database optimization by using eager loading to fetch related entities in a single query. Backend systems should leverage proper join operations or ORM includes to avoid executing individual queries for each associated record during data retrieval.

You can implement Redis caching strategies with Express API routes using the cache-aside pattern. This backend approach checks the Redis cache before querying the primary database, significantly reducing database load and improving API response times for frequently requested data.

Handle authentication and rate limiting in a RESTful API by issuing JWT tokens for secure access and applying role-based access control. Rate limiting protects backend endpoints from abuse by restricting the number of requests a client can make within a defined timeframe.

This backend guidance covers implementing background jobs via job queues for asynchronous processing and employing structured logging for better monitoring. These patterns ensure server-side systems handle long-running tasks without blocking API responses and generate searchable application logs.