backend-patterns

To design scalable API routes in Node.js and Express, apply RESTful or GraphQL API structures alongside the repository pattern. This approach separates data access logic from business logic, ensuring maintainable and efficient server-side applications.

Preventing N+1 query problems requires implementing database optimization strategies that improve query performance. By applying proper data access patterns like the repository pattern, you can batch related queries and avoid inefficient database fetching loops.

The cache-aside pattern with Redis works by having the application check the cache before querying the database. If the data is missing, the application retrieves it from the database, stores it in Redis, and returns it, significantly reducing database load.

Yes, you can apply these backend architecture patterns to Next.js API routes. The guidance specifically covers implementing repository patterns, securing endpoints with JWT, and optimizing database queries within the Next.js server-side environment.

Implementing authentication and rate limiting in an Express API involves securing endpoints with JWT for authorization and applying rate limiting strategies. This protects server-side applications from abuse and ensures only authorized users access resources.

You should use the repository pattern in a new microservice when you need to centralize database access and prevent N+1 query issues. It abstracts data layer operations, making your server-side architecture more scalable and maintainable.