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.
What would it take to build your own Kafka or Redpanda? How could you achieve the throughput of millions of messages per second? Is it really so complex, to pipe the data through the basic, append-only log storage? 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.
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.
In this lightning talk, we take a look at ArcShift, a lock-free data structure for shared data that still needs to be mutated.
This talk explores lessons learned while building a CRDT library with JSON semantics, aimed at application developers.
In this lightning talk, we will explore the reasons why Icedragon was created, what makes it unique, and how you can use it to provide portable builds for your projects.
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.
Should you dig the hype and default to Embassy when starting new microcontroller project? How it works and what does it bring to the table? Let's compare and measure the same IoT app written in sync and async Rust.