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Introduction Rate limiting is technique to help to limit the number of requests or type of request received by a server. It help to scale and increase the reliability of the system. As per resilience4j doc Rate limiting is an imperative technique to prepare your API for scale and establish high availability and reliability of your service. But also, this technique comes with a whole bunch of different options of how to handle a detected limits surplus, or what type of requests you want to limit.

Introduction This is continuation of my previous blog on Resilience4j. In this blog, we shall try to use the annotation and external configuration for the circuit breaker implementation. So let’s start by creating a basic application. Our application would have one controller and one service class. We already saw how to make the reactive basic application in a previous blog. Now we will continue from that. Version Details spring-boot:2.

Introduction Resilience4j is a lightweight, easy-to-use fault tolerance library inspired by Netflix Hystrix, but designed for Java 8 and functional programming. Lightweight, because the library only uses Vavr, which does not have any other external library dependencies. Resilience4j provides higher-order functions (decorators) to enhance any functional interface, lambda expression or method reference with a Circuit Breaker, Rate Limiter, Retry or Bulkhead. You can stack more than one decorator on any functional interface, lambda expression or method reference.