backend-patterns

The repository pattern abstracts database operations, providing a clean data access layer for your Node.js application. It decouples business logic from data persistence, making your codebase more maintainable and easier to test.

To prevent N+1 query problems in Express, implement data access patterns like eager loading or use a service layer to batch database requests. This optimizes query execution and significantly improves server-side application performance.

The best way to structure a scalable Node.js API is to use resource-based URLs for RESTful design or implement GraphQL structures. Combine this with a service layer pattern to separate business logic from route handling.

Implement the Cache-Aside pattern with Redis by checking the cache before querying the database. If data is missing, fetch it from the database, store it in Redis, and return it. This strategy drastically improves backend response times.

Use a service layer pattern when you need to centralize business logic and manage transaction processing across multiple repository calls. It ensures clean data access separation and keeps your API controllers lightweight.

Yes, these backend architecture patterns support both RESTful and GraphQL API design. You can implement resource-based URLs for REST endpoints or structure resolvers and schemas for GraphQL while maintaining the same service layer.