Reactive Programming in Kotlin

Introduction to Backpressure and Flowables

So far, we were trying to understand the push-based architecture of reactive programming. By now, we have gained a good understanding of Observables. We now understand that an Observable emits items to be consumed by an Observer for further processing. However, while going through previous chapters, did you ever think of a situation where the Observable emits items faster than the Observer can consume them? This whole chapter is devoted to this problem. We will start by trying to understand how and when this problem may occur, and then we will try to solve the problem.

So, in this chapter, we will focus on the following topics, and by the end of the chapter we should have a solution to the problem ...