Reactive Applications Support

Reactive programming revolves around asynchronous and non-blocking interactions, characterized by callback and declarative approaches. It incorporates a backpressure mechanism to regulate the throughput from the producer, aiding in consumer control. In Java, Reactive programming relies on Streams, CompletableFuture, and backpressure controls. There exist numerous relevant use cases where reactive programming proves beneficial, including supporting high peak workloads, microservices, contention avoidance, IoT and Big Data applications.

Spring relies on the project reactor(https://projectreactor.io/) that is the f foundation of Spring Webflux (https://docs.spring.io/spring-framework/reference/web/webflux.html).

To add Spring Security reactive support into your Spring Boot project, you need to include spring-boot-starter-security and spring-boot-starter-webflux dependencies in your projects:

//build.gradle
dependencies {
...
    ...