Hands on Reactive Spring with Redis Cache and Docker support

The concept of reactive programming enables more responsive and scalable programmes by handling asynchronous data streams. It emphasises on representing data flows as ongoing streams of events so that systems may respond and adjust in real time to shifting circumstances. Reactive programming provides a potent tool for handling complicated interactions and upholding fluid user experiences by utilising the ideas of event-driven and declarative programming. Its method is particularly useful in situations where event-driven structures and effective handling of asynchronous activities are critical, such as in contemporary web applications and real-time data processing systems.

Project Reactor by Spring is a completely non-blocking foundation with built-in back-pressure support. It serves as the structural core of the Spring ecosystem’s reactive stack and is included into initiatives like Spring WebFlux, Spring Data, and Spring Cloud Gateway.

While attempting to maintain functional simplicity, this demonstration will serve as a proof-of-concept (POC) for creating reactive REST endpoints supported by a PostgreSQL database and using Redis as a cache, all with the support of Docker containers.

In this app we will be using:

• Java version 17.