Summary

In this chapter, we examined a variety of concurrency design patterns in Kotlin, with a focus on core components like coroutines, channels, and deferred values. Deferred values serve as placeholders for values that will be computed asynchronously. The Barrier design pattern synchronizes multiple asynchronous tasks, allowing them to move forward together. With the Scheduler pattern, we can separate the task logic from its runtime execution.

We also discussed the Pipeline, Fan-In, and Fan-Out patterns, which facilitate the distribution of tasks and the collection of results. The Mutex pattern is used to manage concurrent execution, ensuring tasks don’t conflict with one another. The Racing pattern is geared toward improving application responsiveness. Lastly, the Sidekick Channel pattern acts as a backup, taking on work when the primary task struggles to keep up.

These patterns equip you with the tools to manage your application’s concurrency in an efficient...