When using functional reactive programming, we model our problems using streams of data or events (called observables), which can be transformed (using operators) and eventually will cause some effect (through an observer). Now imagine that we have an observable which emits data faster than our observer can process; this will lead to a problem called backpressure.

This problem can also happen when we want to keep an observable running at a certain pace. Imagine that you want to log in to the console all the tweets from a certain hashtag, but you want to log at most one each for a few seconds to make sure the user can read the tweets. This also can lead to backpressure if the hashtags have more tweets per second than a human is capable of reading.

Using RxJS, we have two possible strategies to deal with this problem.

We can discard some data. You might not be interested in all the movements...