Spring Boot Resilience4j

About

Apply robust fault tolerance to your Spring Boot microservices to prevent cascading failures and gracefully manage dependencies. This skill provides detailed implementation patterns for Resilience4j, including circuit breakers, retries, rate limiters, bulkheads, and time limiters. It offers practical guidance with annotation-based code examples, YAML configurations, monitoring strategies using Spring Boot Actuator, and established best practices to build resilient, production-ready applications.

Key Features

• Best practices for graceful degradation, exponential backoff, and sizing resilience components
• Implementation guidance for Circuit Breaker, Retry, Rate Limiter, Bulkhead, and Time Limiter patterns
• 31 GitHub stars
• Global exception handling patterns for common resilience-related exceptions
• Annotation-based code examples and corresponding `application.yml` configurations
• Strategies for monitoring resilience patterns using Spring Boot Actuator

Use Cases

• Preventing service overload by controlling the rate of incoming requests or outgoing calls.
• Gracefully handling transient network errors when communicating with external APIs.
• Protecting a microservice from cascading failures caused by a slow or unavailable downstream dependency.