backend-patterns

To structure a Node.js API, you can implement Repository and Service layers to decouple business logic from data access. This pattern isolates database queries within repository classes while services handle business rules.

Preventing the N+1 query problem involves applying query optimization strategies and introducing a Redis-based caching layer. Structuring data access through repository patterns ensures queries are batched efficiently.

You implement centralized error handling and rate limiting in a Next.js API by routing requests through standardized server-side middleware. This captures errors consistently and throttles incoming traffic before reaching your service layer.

Yes, these backend patterns support adding JWT authentication to an Express server. The skill provides secure authentication workflows designed to integrate directly into your existing middleware stack.

Redis is not strictly required, but the patterns are optimized for Redis-based caching to maximize performance. The caching layer works within the repository pattern to store frequently accessed query results and reduce database load.

A backend architecture needs a middleware layer for background job processing to ensure production-grade reliability. It enables exponential backoff retries and centralized error handling so background tasks fail gracefully without crashing the server.