springboot-patterns

Global exception handling in a Spring Boot REST API is implemented using centralized strategies that catch errors across controllers and return consistent error responses. This Skill provides code examples for structuring these handlers to manage validation and runtime exceptions.

The best way to structure a transactional service layer in Spring Boot is by separating business logic into transactional service methods. This Skill demonstrates how to build this architecture alongside repository patterns using Spring Data JPA.

Resilience patterns like retries and rate limiting are added to Java microservices by applying specific mechanisms within your Spring Boot architecture. This Skill covers implementation examples for these patterns to ensure production-grade backend stability.

Yes, you can use Spring Data JPA repositories with DTOs and validation in Spring Boot. This Skill illustrates the repository pattern for data access and demonstrates how to structure request/response DTOs alongside validation logic.

Spring Boot supports asynchronous processing and caching for backend development through built-in framework capabilities. This Skill provides examples for implementing both techniques to improve application performance and responsiveness.