springboot-patterns

Structure your Spring Boot REST API by separating concerns into controllers for routing, services for business logic, and repositories for data access. This layered architecture ensures maintainable and scalable backend microservices.

Reactive programming with WebFlux and R2DBC handles high-concurrency, non-blocking applications in Spring Boot. WebFlux processes asynchronous streams, while R2DBC provides reactive database connectivity for scalable event-driven architectures.

Implement CQRS (Command Query Responsibility Segregation) in Spring Boot when managing complex domains with distinct read and write operations. It separates data mutation commands from optimized queries, improving performance in scalable microservices.

Implement asynchronous processing and event-driven patterns in Java using Spring Boot's background task capabilities. This approach improves application responsiveness by offloading time-consuming operations to non-blocking, concurrent event streams.

Add rate limiting and secure forwarded headers in a Spring Boot REST API using built-in security best practices. This prevents API abuse and ensures correct client IP resolution behind reverse proxies and load balancers.

You can use Spring Data JPA alongside caching mechanisms to achieve optimal backend performance. JPA handles transactional relational data management, while caching reduces database load by serving frequently accessed data quickly.