backend-patterns

The repository pattern abstracts database access by encapsulating data query logic within dedicated repository classes, separating data persistence from service layer business logic to build maintainable backend APIs.

To prevent N+1 query problems in Node.js backend applications, implement query optimization strategies such as eager loading relations within a single database transaction or utilizing repository layer batch fetching.

Structure RESTful API routes in Express by routing HTTP requests directly to service layers containing business logic, keeping controllers thin while delegating data persistence to repository layers.

Implement JWT authentication and rate limiting in Next.js API routes by applying middleware that validates authorization tokens and restricts request volume to secure backend endpoints.

Handle database transactions and structured logging by wrapping multiple data modifications in atomic repository operations while emitting standardized log entries to track backend execution state.

Yes, you can apply these backend patterns to microservice architecture, utilizing repository layers, caching strategies, and structured error handling to ensure isolated service scalability and maintainability.