In this lightning talk, we take a look at ArcShift, a lock-free data structure for shared data that still needs to be mutated.
In this lightning talk, we take a look at ArcShift, a lock-free data structure for shared data that still needs to be mutated.
While the standard library's Arc<RwLock<T>> allows multiple threads to access and modify the same object, even read-accesses require somewhat expensive atomic operations.
ArcShift allows multiple writers without penalizing readers, and give examples on how (and how not to) write lock-free data structures. We'll also dive into how ArcShift handles the memory reclamation problem (or cheats its way out of it).
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.
This talk dives into common anti-patterns, offering practical tips to sidestep frustration. Whether you're new to Rust or leveling up, you’ll leave with insights to write clean, idiomatic, and maintainable code—without the tears.
In this talk, we will discuss how you can use Durable Execution to harden your applications in a few key areas: workflows, asynchronous tasks, microservice orchestration, and event processing.
I applied PGO to many kinds of software, collected a lot of carefully hidden traps on my journey, and found multiple ways how to avoid them. In this talk, I want to share with you my experience.