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Spring Boot 4 Microservices & REST APIs · Lesson

Circuit Breakers with Resilience4j

Apply the circuit breaker pattern using Resilience4j to prevent cascading failures in your microservices.

Building Resilient Microservices

Microservices are great, but they also bring new challenges. When one service fails, it shouldn't take down the whole system. This is where resilience comes in.

Building resilient systems means they can recover gracefully from failures and continue to function, even if in a degraded mode. It's crucial for maintaining service availability and user experience.

Avoiding Cascading Failures

Imagine a chain of services: Service A calls B, which calls C. If Service C becomes slow or unresponsive, Service B will wait, consuming resources. Then Service A will wait for B, and so on.

Eventually, all services in the chain might exhaust their resources (like threads or connections) and fail, leading to a complete system outage. This is a cascading failure, a common problem in distributed systems.

All lessons in this course

  1. Circuit Breakers with Resilience4j
  2. Implementing Fallbacks and Timeouts
  3. Distributed Tracing with Zipkin
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