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In this talk, we'll explore reasoning with async Rust. We'll be introduced to its fundamental building blocks, such as `async`, `await`, `join` and `select`, and learn how to predict the behavior of code written with them.
Reasoning through concurrent systems has always been a challenging task. Poor code can be riddled with race conditions, non-terminating cases and other complex concurrency bugs; and even well-written code can be hard to understand. Async programming is an innovative concurrent programming model that rises to this challenge. In this talk, we'll explore reasoning with async Rust. We'll be introduced to its fundamental building blocks, such as `async`, `await`, `join` and `select`, and learn how to predict the behavior of code written with them. We'll build on these to simplify more complex concurrency puzzlers. Finally, we'll explore different approaches to handling concurrent state and see how they compare.
I'd like to share what we've learned in the last 2 years, when building Iggy.rs message streaming infrastructure from the ground up.
We will explore some ways to make Async Rust programming more enjoyable and more efficient at the same time.
After spending many happy years in Scala, not mutating anything but copying objects faster than rabbits breed I ventured into the world where each allocation is carefully examined and it is perfectly normal to reuse the same list for different purposes.
Choosing Rust is already improving your life as a programmer. But there’s always something we can still improve. So here’s a series of tips to save you time, typing, sanity or all of them.
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