Are you familiar with reactive systems and the principles of reactive programming?

Reactive systems are an architectural approach focused on creating scalable, responsive, and resilient applications that efficiently handle asynchronous data streams and events.

The main principles of reactive programming:

• Responsiveness: the system should respond quickly to requests and changes.
• Resilience: the system should maintain functionality in case of failures.
• Scalability: the system should operate efficiently under increased load.
• Backpressure: managing data flow to prevent overload.

In Java, reactive programming is often implemented using libraries such as Reactor or RxJava, which provide abstractions for working with asynchronous data streams (Flux, Mono).

Example of using Reactor:

Flux<Integer> numbers = Flux.range(1, 5)
    .map(n -> n * 2);

numbers.subscribe(System.out::println);

Here, a stream of numbers from 1 to 5 is created, each number is multiplied by 2, and the result is output as it arrives.