springboot-patterns

Provide layered architecture patterns for Spring Boot REST services.

1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/riftzen-bit/gemini-setup --skill springboot-patterns-riftzen-bit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: springboot-patterns
Source: https://github.com/riftzen-bit/gemini-setup/tree/main/skills/springboot-patterns
Command: npx skills add https://github.com/riftzen-bit/gemini-setup --skill springboot-patterns-riftzen-bit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides clear architecture patterns, conventions, and best practices to avoid ad-hoc, hard-to-maintain Spring Boot backends and to accelerate building reliable, observable REST services.

Core Features & Use Cases

  • Layered Architecture: Recommendations for controller → service → repository separation, DTOs, validation, and transaction boundaries.
  • Data & Caching: Patterns for Spring Data JPA repositories, pagination, caching with cache annotations, and cache eviction strategies.
  • Resilience & Async: Guidance for retries, async processing, background jobs, error-resilient external calls, and rate limiting with security considerations.
  • Observability & Ops: Structured logging, metrics (Micrometer), tracing, and production defaults for pools and profiles.
  • Use Case: Implement a Market domain REST API with validation, centralized exception handling, caching of reads, async notifications, and request rate limiting.

Quick Start

Design a Market REST API using controller-service-repository layers with validation, transactional saves, caching for reads, centralized exception handling, and async notification processing.

Frequently Asked Questions about springboot-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to structure a scalable Spring Boot REST API?

A scalable Spring Boot REST API uses a layered architecture with controller, service, and repository separation. This pattern enforces transaction boundaries, uses DTOs for validation, and isolates data access logic in Spring Data JPA repositories for maintainable backend services.

How do I implement caching and cache eviction in Spring Boot?

Implement caching in Spring Boot by applying cache annotations to service methods. Define cache eviction strategies to invalidate stale data during write operations, ensuring high-performance read paths while maintaining consistency alongside Spring Data JPA transactional saves.

How do I handle async processing and background jobs in Spring Boot?

Handle async processing in Spring Boot by using async annotations for background jobs and notifications. Combine this with error-resilient external calls, retry mechanisms, and rate limiting filters to build resilient, non-blocking backend workflows.

Does Spring Boot support centralized exception handling and request validation?

Yes, Spring Boot supports centralized exception handling and request validation. By applying validation annotations on DTOs within the controller-service-repository layers, the backend automatically rejects invalid payloads and returns structured error responses globally.

What is needed to add observability and metrics to a Spring Boot application?

Adding observability to a Spring Boot application requires configuring structured logging, Micrometer metrics, and tracing. These production defaults provide deep visibility into REST API performance, transactional service methods, and async job execution.