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As Rust projects grow, managing private crates becomes a real headache. Teams struggle with inconsistent versioning, fragile dependencies, and cumbersome workflows that slow down development. In this talk, I’ll walk through how these challenges can be solved with Rust and CrabHub.
As Rust projects grow, managing private crates becomes a real headache. Teams struggle with inconsistent versioning, fragile dependencies, and cumbersome workflows that slow down development. In this talk, I’ll walk through how these challenges can be solved with Rust and CrabHub, a secure, Rust-native private crate registry. You’ll see how CrabHub enforces SemVer compliance, integrates seamlessly with Cargo, and leverages VCS for storage and access control. From identifying pain points to designing a scalable, Kubernetes-native architecture, I’ll show how Rust teams can manage private packages efficiently, safely, and at scale, all while keeping a smooth developer experience.
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 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.
This talk explores building a complete self-hosted LLM stack in Rust: Paddler, a distributed load balancer for serving LLMs at scale, and Poet, a static site generator that consumes those LLMs for AI-powered content features.
Rust performance debugging with TUIs and LLMsDescription: In my session, I will present the https://hotpath.rs crate and explain how it compares to other profiling tools available.
During this talk we'll build a basic, working async runtime using nothing more than a standard library. The point? To see it's approachable for mere mortals.
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.
