springboot-patterns

To structure a Spring Boot REST API, use controllers with request/response DTOs and apply validation annotations. This separates API boundaries from internal models and ensures data integrity before processing business logic.

The best way to implement transactional service layers in Spring Boot is encapsulating business logic within service classes annotated for transactional integrity. This ensures database operations execute atomically and maintains data consistency.

To set up exception handling and caching for Java microservices, implement global exception handlers and configure caching mechanisms within your Spring Boot application. This standardizes error responses and improves operational performance.

Yes, Spring Data JPA works perfectly with the repository pattern for backend data access. It abstracts boilerplate data access code, allowing efficient querying and clean separation between the data access layer and business logic.

You should use asynchronous processing and middleware filters in Spring Boot when handling long-running tasks or cross-cutting concerns like logging. This prevents blocking main application threads and centralizes request lifecycle management.