Summary
In this chapter, we covered various design patterns related to concurrency in Kotlin. Most of them are based on coroutines, channels, deferred values, or a combination of these building blocks.
Deferred values are used as placeholders for asynchronous values. The Barrier design pattern allows multiple asynchronous tasks to rendezvous before proceeding further. The Scheduler design pattern decouples the code of tasks from the way they are executed at runtime.
The Pipeline, Fan In, and Fan Out design patterns help us distribute the work and collect the results. Mutex helps us to control the number of tasks that are being executed at the same time. The Racing design pattern allows us to improve the responsiveness of our application. Finally, the Sidekick Channel design pattern offloads work onto a backup task in case the main task is not able to process the incoming events quickly enough.
All of these patterns should help you to manage the concurrency of your application...
