backend-patterns

Architectural patterns, API design, and database optimization for Node.js, Express, and Next.js backends. Backend architecture patterns and best practices for scalable server-side applications. Remember : Backend patterns enable scalable, maintainable server-side applications. Choose patterns that fit your complexity level. - Covers repository, service, and middleware layers for clean separation of concerns; includes REST API structure with resource-based URLs and query parameters - Database patterns include N+1 prevention, query optimization, transactions, and caching strategies (Redis, cache-aside) - Error handling with centralized handlers, retry logic with exponential backoff, and structured logging for monitoring - Authentication and authorization patterns: JWT validation, role-based access control, rate limiting, and background job queues - Designing REST or GraphQL API endpoints - Implementing repository, service, or controller layers - Optimizing database queries (N+1, indexing, connection pooling) - Adding caching (Redis, in-memory, HTTP cache headers) - Setting up background jobs or async processing - Structuring error handling and validation for APIs - Building middleware (auth, logging, rate limiting)