springboot-patterns

Spring Boot REST API architecture uses thin controllers for request handling, service layers for business logic and transactions, and Spring Data JPA repositories for data access. This layered separation ensures maintainable, production-grade APIs with clear responsibility boundaries.

Global exception handling in Spring Boot centralizes error responses across your REST API. Production patterns implement RFC 7807-style problem details and consistent error formatting, ensuring clients receive standardized error payloads regardless of which layer throws the exception.

Caching and async processing in Spring Boot use dedicated patterns to improve REST API throughput. Caching reduces repository load on repeated queries, while async execution handles background tasks without blocking request threads, keeping your endpoints responsive under heavy load.

Rate limiting with trusted proxy handling is supported in these Spring Boot patterns. It correctly identifies client IP addresses behind reverse proxies, preventing spoofed headers from bypassing limits while protecting your REST endpoints from abusive traffic.

Retry logic with backoff for external calls in Spring Boot uses resilient patterns that automatically reattempt failed requests. This approach gradually increases wait times between retries, preventing cascading failures when downstream services experience temporary interruptions.

Spring MVC and WebFlux patterns support DTO validation and pagination natively. Validated data transfer objects secure endpoint inputs, while Spring Data JPA repositories provide built-in pagination and sorting capabilities to manage large dataset responses efficiently.