Backpressure - a common problem that affects asynchronous software. Any services that implement a producer-consumer type pattern will be affected by backpressure if they have even a moderate amount of traffic on them. In this video we cover what backpressure is, why it happens, and how to deal with it.

In this example we look at a "high CPU utilization" Kafka application and introduce backpressure support to eliminate it.

Our examples are built around Akka.Streams and Akka.Streams.Kafka, in case you want to learn more:

Introduction to Akka.NET Streams: [ Ссылка ]
Introduction to Akka.NET Streams (.NET Notebook): [ Ссылка ]
Akka.Streams.Kafka source code: [ Ссылка ]

(0:00) - What is Backpressure?
(0:19) Real-world Example: Kafka + Akka.NET
(1:22) How Backpressure Works
(5:34) Lack of Backpressure Demo
(8:33) How to Mitigate Backpressure
(12:22) Adding Backpressure Support
(14:32) Demo w/ Backpressure Support
(17:30) Backpressured Workflows

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