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This talk puts popular Rust rewrites to the test. We'll examine how these tools stack up against their battle-tested predecessors, looking at real-world performance, compilation times, binary sizes, feature completeness, and ecosystem maturity.
The Rust ecosystem loves to claim tools are 🚀 blazingly fast 🚀, and the "Rewrite It In Rust" movement has given us alternatives to everything from CLI utilities to web servers. But are these replacements actually faster? Or is the RIIR movement more about memory safety theater than real performance gains?
This talk puts popular Rust rewrites to the test. We'll examine how these tools stack up against their battle-tested predecessors, looking at real-world performance, compilation times, binary sizes, feature completeness, and ecosystem maturity. Some Rust tools genuinely deliver on their promises—but others might be solving problems that don't exist. Whether you're a RIIR evangelist or a skeptic, you'll walk away with data-driven insights into when Rust replacements make sense and when the original is still the better choice. Expect honest assessments, performance comparisons, and maybe fewer rocket emojis.
I'll initiate you in the art of 'CAN bus sniffing': Connecting to the central nervous system of a modern car, interpreting the data, and seeing what we can build as enthousiastic amateurs.
I’ll share what the Rust job market really looks like in 2025 — where companies are hiring, which skills stand out, and how the recruitment process actually works behind the scenes.
In this talk, we'll dive deep into what makes concurrency coordination costly, and explore some pathways to mitigate that cost.
For infrastructure engineers, SREs, platform teams, and Rust developers who've felt the pain of configuration drift, failed deployments, and infrastructure code that simply doesn't scale safely.
This talk explores what it means to write scientific software that lives up to the standards we expect of science itself.
We’ll take a deep dive into Rust channels — from synchronous channels to asynchronous channels — to explore how message passing enables reliable concurrent programming.
