Applying resilience with Resilience4J
Resilience is crucial for maintaining system stability and reliability in a microservices architecture. Resilience refers to the system’s ability to gracefully handle and recover from failures. Unlike monolithic architectures, where a failure in one component can cause the entire system to become unavailable, microservices can be designed to isolate failures and continue to function smoothly. This is where resilience patterns and tools such as Resilience4J come into play. We will explore the five key client-side resilience patterns: circuit breaker, retry, rate limiter, bulkhead, and fallback.
Client-side resilience patterns are strategies and techniques applied at the client level to handle failures and ensure smooth operation in a distributed system, mainly when communicating with microservices. These patterns help clients cope with potential service unavailability, latency issues, and other failures, improving the overall reliability...
