backend-development

Structure a backend API using layered architecture by routing requests through routes, controllers, services, and repositories before hitting the database. This separation of concerns ensures maintainable file sizing, extracted modules, and clear boundaries for dependency injection and business logic.

The best way to handle API errors is by enforcing consistent error shapes and correct HTTP status codes across API boundaries. Validate inputs at the API boundary and use typed error handling to ensure reliable, production-ready API responses.

Secure backend API endpoints by implementing auth middleware, using parameterized queries to prevent injection, and managing secrets safely via environment variables. Apply transaction boundaries to protect multi-step operations and enforce security hardening.

Yes, you can use database migrations for schema changes in a REST API. Migration-based schema changes ensure reliable database models and indexed queries, supporting persistent data storage for authenticated users and background jobs.

Implement pagination for list endpoints by validating inputs at the API boundary and applying consistent query patterns at the repository level. This ensures correct HTTP semantics and production-ready API patterns for large datasets.

You need background jobs in backend infrastructure when authenticated users trigger asynchronous tasks that require reliable execution. Background jobs work alongside caching and layered backend architecture to handle operations without blocking API responses.