backend-service-patterns

A scalable backend service architecture uses a layered pattern with routes, controllers, services, and repositories to separate concerns. This structure ensures maintainability and testability by isolating business logic from data access abstraction and API endpoints.

Microservices communication relies on design patterns like API Gateway, circuit breakers, and inter-service communication strategies. These patterns manage data routing, prevent cascading failures, and ensure robust interaction between distributed backend services.

Dependency injection in a layered API architecture involves injecting service and repository dependencies into controllers rather than instantiating them directly. This decouples components, simplifies unit testing, and enforces separation of concerns across the business logic layers.

Serverless functions are optimized for backend API development by applying FaaS optimization patterns alongside an API Gateway. This approach manages function execution overhead and ensures efficient routing for scalable, event-driven backend services.

The repository pattern for data access abstraction should be used when you need to centralize data logic and decouple business services from the underlying database. It provides a consistent interface for data retrieval, making the system easier to test and maintain.

Layered architecture works for both microservices and serverless backends by applying controller-service-repository separation within each function or service. This ensures consistent API development, business logic implementation, and data access abstraction across different deployment models.