backend-patterns

To structure scalable Node.js API routes, implement repository, service, and middleware patterns. This approach separates business logic from data access, ensuring maintainable RESTful and GraphQL endpoints across Express and Next.js applications.

Fixing N+1 database query problems in Node.js requires applying specific database optimization patterns. This Skill provides practices for query efficiency and transaction safety to prevent redundant queries across various database systems.

Redis caching improves backend performance by storing frequently accessed data, reducing database load. This Skill describes caching strategies and centralized error management to enhance reliability in production Node.js environments.

Yes, these backend patterns support high-traffic background jobs. The Skill details queuing, job processing, and rate limiting techniques to build resilient applications capable of handling scalable background tasks.

No specific database is required. The database optimization and transaction patterns are applicable across various database systems, focusing on query efficiency and avoiding N+1 problems rather than relying on a specific platform.