springboot-patterns

Structure a scalable Spring Boot REST API backend using a layered architecture that separates controllers, services, and repositories. This pattern isolates business logic from data access, ensuring maintainability and consistent design across your service components.

Implement exception handling and validation in Spring Boot by utilizing Data Transfer Objects (DTOs) and global exception handlers. This approach ensures data integrity and robust error handling by validating inputs at the controller boundary before processing logic within the service layer.

Yes, this Spring Boot architecture pattern supports asynchronous processing and caching. It provides practical guidance for integrating these mechanisms to improve backend performance and reliability, alongside production-ready defaults for logging and pagination.

Yes, you can apply this layered architecture approach with Spring WebFlux. The design patterns accommodate building REST APIs with both Spring MVC and WebFlux, structuring controllers, services, and repositories effectively for reactive or standard blocking environments.

Use the repository pattern and DTOs in Spring Boot backend development when building REST APIs that require strict data integrity and decoupled layers. DTOs validate data at the API boundary, while repositories abstract data access, keeping service layer transactions maintainable.