backend-patterns

To structure a Node.js backend, apply repository and service layer patterns to separate database queries from business logic. This architecture uses controllers for request handling, services for logic, and repositories for data access, improving testability and maintainability.

The best way to prevent N+1 query problems in Express APIs is to optimize data access layers using batching and database indexes. Query optimization techniques ensure related entities are fetched efficiently, removing repeated database calls during endpoint execution.

Yes, you can use this architecture skill with Next.js API routes. The patterns apply directly to Next.js, allowing you to refactor endpoints to use service layers, implement centralized error handling, and add caching for optimized server-side processing.

To implement centralized error handling and caching in a Node.js service, use middleware for error capture and a cache-aside strategy for hot reads. This standardizes resilience patterns, ensuring consistent error responses and reduced database load.

Retry with exponential backoff for background jobs works by progressively increasing the wait time between repeated task executions after a failure. This job queue pattern prevents system overload during outages, ensuring background processing systems remain resilient.