Flux vs Mono: What are the differences?

# Introduction
In this Markdown code snippet, we discuss the key differences between Flux and Mono.

1. **Reactive Streams Model**: Flux represents a stream of 0 to N elements, allowing multiple values to be emitted in a non-blocking manner, whereas Mono represents a stream of 0 or 1 element, which is either present or not, making it useful for representing asynchronous single-value results.
2. **Backpressure Handling**: Flux provides backpressure handling mechanisms to control the flow of data from the producer to the consumer, ensuring smooth processing of data, whereas Mono does not have backpressure mechanisms as it deals with a single element, simplifying the processing and consumption of the result.
3. **Transformation Operations**: Flux offers a wide range of transformation operations like map, flatMap, filter, concatMap, etc., to manipulate the stream of data elements, allowing for complex data processing pipelines, while Mono focuses on simple transformation functions due to its single element nature.
4. **Error Handling**: Flux allows the handling of errors for multiple elements in the stream using operations like onErrorResume, onErrorReturn, retry, etc., providing robust error management capabilities, unlike Mono which has straightforward error handling mechanisms for handling single-element failures.
5. **Use Cases**: Flux is typically used in scenarios where there is a need to handle multiple values or events like real-time data processing, IoT applications, etc., while Mono is suitable for handling asynchronous operations with a single result such as database queries, network requests, etc.

In Summary, we have highlighted the key differences between Flux and Mono in terms of their stream model, backpressure handling, transformation operations, error management, and use cases to distinguish their functionality within the reactive programming paradigm.