Backpressure explained — the flow of data through software
Backpressure (or back pressure) is something nearly every software engineer will have to deal with at some point, and for some it’s a frequent problem. But the term itself isn’t nearly as understood and recognized as such. In this post I’m going to elaborate on what exactly backpressure is, when it’s common, and the strategies we can use to mitigate it. I recently gave a talk about this at Reactiv
Context: Reactive programming (RP) is a declarative programming paradigm suitable for expressing the handling of events. It enables programmers to create applications that react automatically to changes over time. Whenever a time-varying signal changes — e.g. in response to values produced by event stream (e.g., sensor data, user input…) — the program state is updated automatically in tandem with
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Reactive Programming without Functions