Are you searching for a web stack that can efficiently handle high levels of concurrency while minimizing thread usage and scaling with reduced hardware resources? Your search ends with Spring WebFlux. In this article, we'll embark on a journey to explore the world of Spring WebFlux and demonstrate how to seamlessly migrate this non-blocking project to the cloud using Platform.sh. https://carsnewstoday.com/programming/software-design/unlock-the-power-of-spring-webflux-build-scalable-cloud-native-apps-with-ease/
Introduced in version 5.0, the reactive-stack web framework, Spring WebFlux, boasts a fully non-blocking architecture that supports Reactive Streams back pressure and is compatible with servers such as Netty, Undertow, and Servlet 3.1+ containers.
Reactive programming is an asynchronous paradigm centered around data streams and the propagation of change. This enables the effortless expression of static (e.g., arrays) or dynamic (e.g., event emitters) data streams using the employed programming language(s).
The Spring Framework leverages the Reactor internally for its reactive capabilities. Reactor is a Reactive Streams implementation that extends the basic Reactive Streams Publisher contract with the Flux and Mono composable API types, providing declarative operations on data sequences of 0..N and 0..1.
To provide a comprehensive introduction to Spring Webflux, we'll create a simple application that manages people, omitting the database aspect for now, which will be covered in the next article.
We'll begin by creating a Maven project, and the first step involves setting up the Spring Webflux dependencies in the pom.xml file.
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