2026-01-22 08:00:00
Space exploration demands software that is reliable, efficient, and able to operate in the harshest environments imaginable. When a spacecraft deploys a solar sail millions of kilometers from Earth, there’s no room for memory bugs, race conditions, or software failures. This is where Rust’s robustness guarantees become mission-critical.
In this episode, we speak with Sebastian Scholz, an engineer at Gama Space, a French company pioneering solar sail and drag sail technology for spacecraft propulsion and deorbiting. We explore how Rust is being used in aerospace applications, the unique challenges of developing software for space systems, and what it takes to build reliable embedded systems that operate beyond Earth’s atmosphere.
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Gama Space is a French aerospace company founded in 2020 and headquartered in Ivry-sur-Seine, France. The company develops space propulsion and orbital technologies with a mission to keep space accessible. Their two main product lines are solar sails for deep space exploration using the sun’s infinite energy, and drag sails—the most effective way to deorbit satellites and combat space debris. After just two years of R&D, Gama successfully launched their satellite on a SpaceX Falcon 9. The Gama Alpha mission is a 6U cubesat weighing just 11 kilograms that deploys a large 73.3m² sail. With 48 employees, Gama is at the forefront of making space exploration more sustainable and accessible.
Sebastian Scholz is an engineer at Gama Space, where he works on developing software systems for spacecraft propulsion technology. His work involves building reliable, safety-critical embedded systems that must operate flawlessly in the extreme conditions of space. Sebastian brings expertise in systems programming and embedded development to one of the most demanding environments for software engineering.
2026-01-08 08:00:00
Radar processes billions of location events daily, powering geofencing and location APIs for companies like Uber, Lyft, and thousands of other apps. When their existing infrastructure started hitting performance and cost limits, they built HorizonDB, a specialized database which replaced both Elasticsearch and MongoDB with a custom single binary written in Rust and backed by RocksDB.
In this episode, we dive deep into the technical journey from prototype to production. We talk about RocksDB internals, finite-state transducers, the intricacies of geospatial indexing with Hilbert curves, and why Rust’s type system and performance characteristics made it the perfect choice for rewriting critical infrastructure that processes location data at massive scale.
CodeCrafters helps you become proficient in Rust by building real-world, production-grade projects. Learn hands-on by creating your own shell, HTTP server, Redis, Kafka, Git, SQLite, or DNS service from scratch.
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Radar is the leading geofencing and location platform, trusted by companies like Uber, Lyft, and thousands of apps to power location-based experiences. Processing billions of location events daily, Radar provides geofencing APIs, geocoding, and location tracking that enables developers to build powerful location-aware applications. Their infrastructure handles massive scale with a focus on accuracy, performance, and reliability.
Jeff Kao is a Staff Engineer at Radar, where he led the development of HorizonDB, Radar’s geospatial database written in Rust. His work replaced Elasticsearch and MongoDB with a custom Rust stack built on RocksDB, achieving dramatic improvements in performance and cost efficiency. Jeff has deep experience with geospatial systems and previously open-sourced Node.js TypeScript bindings for Google’s S2 library. He holds a degree from the University of Waterloo.
2025-12-25 08:00:00
As we close the chapter on 2025 and celebrate our second year of ‘Rust in Production’, it’s time to reflect on the highlights of the 17 episodes since our last holiday special. We looked at Rust from all angles, from cloud infrastructure to embedded systems, and from robotics to satellite technology. One thing that all these stories have in common is the passion and dedication of the Rust community to build faster, safer, and more reliable software.
In this special episode, we look back at some of the memorable moments from the past year and celebrate Rust’s achievements. This goes beyond the case studies we’ve covered; it’s about the Rust community as a whole and the state of the Rust ecosystem at the end of 2025.
CodeCrafters helps you become proficient in Rust by building real-world, production-grade projects. Learn hands-on by creating your own shell, HTTP server, Redis, Kafka, Git, SQLite, or DNS service from scratch.
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2025-12-11 08:00:00
Bringing Rust into the Linux kernel is one of the most ambitious modernization efforts in open source history. The Linux kernel, with its decades of C code and deeply ingrained development practices, is now opening its doors to a memory-safe language. It’s the first time in over 30 years that a new programming language has been officially adopted for kernel development. But the journey is far from straightforward.
In this episode, we speak with Danilo Krummrich, Linux kernel maintainer and Rust for Linux core team member, about the groundbreaking work of integrating Rust into the Linux kernel. Among other things, we talk about the Nova GPU driver, a Rust-based successor to Nouveau for NVIDIA graphics cards, and discuss the technical challenges and cultural shifts required for large-scale Rust adoption in the kernel as well as the future of the Rust4Linux project.
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Rust for Linux is a project aimed at bringing the Rust programming language into the Linux kernel. Started to improve memory safety and reduce vulnerabilities in kernel code, the project has been gradually building the infrastructure, abstractions, and tooling necessary for Rust to coexist with the kernel’s existing C codebase.
Danilo Krummrich is a software engineer at Red Hat and a core contributor to the Rust for Linux project. His fundamental contribution to Rust for Linux is the driver-core infrastructure, the foundational framework that makes it possible to write drivers in Rust at all. This includes both C and Rust code that provides the core abstractions for device drivers in the kernel. Danilo is a maintainer for multiple critical kernel subsystems, including Driver Core, DRM (GPUVM, Rust, GPU Scheduler), GPU drivers for NVIDIA GPUs (Nova, Nouveau), Firmware Loader API, as well as Rust bindings for PCI, DMA, and ALLOC. He is the primary developer of the Nova GPU driver, a fully Rust-based driver for modern NVIDIA GPUs.
2025-11-27 08:00:00
What does it take to rewrite the foundational components of one of the world’s most popular Linux distributions? Ubuntu serves over 12 million daily desktop users alone, and the systems that power it, from sudo to core utilities, have been running for decades with what Jon Seager, VP of Engineering for Ubuntu at Canonical, calls “shaky underpinnings.”
In this episode, we talk to Jon about the bold decision to “oxidize” Ubuntu’s foundation. We explore why they’re rewriting critical components like sudo in Rust, how they’re managing the immense risk of changing software that millions depend on daily, and what it means to modernize a 20-year-old operating system without breaking the internet.
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Canonical is the company behind Ubuntu, one of the most widely-used Linux distributions in the world. From personal desktops to cloud infrastructure, Ubuntu powers millions of systems globally. Canonical’s mission is to make open source software available to people everywhere, and they’re now pioneering the adoption of Rust in foundational system components to improve security and reliability for the next generation of computing.
Jon Seager is VP Engineering for Ubuntu at Canonical, where he oversees the Ubuntu Desktop, Server, and Foundations teams. Appointed to this role in January 2025, Jon is driving Ubuntu’s modernization strategy with a focus on Communication, Automation, Process, and Modernisation. His vision includes adopting memory-safe languages like Rust for critical infrastructure components. Before this role, Jon spent three years as VP Engineering building Juju and Canonical’s catalog of charms. He’s passionate about making Ubuntu ready for the next 20 years of computing.
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2025-11-13 08:00:00
Building a new programming language from scratch is a monumental undertaking. In this episode, we talk to Richard Feldman, creator of the Roc programming language, about building a functional language that is fast, friendly, and functional. We discuss why the Roc team moved away from using Rust as a host language and instead is in the process of migrating to Zig. What was the decision-making process like? What can Rust learn from this decision? And how does Zig compare to Rust for this kind of systems programming work?
CodeCrafters helps you become proficient in Rust by building real-world, production-grade projects. Learn hands-on by creating your own shell, HTTP server, Redis, Kafka, Git, SQLite, or DNS service from scratch.
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Roc is a fast, friendly, functional programming language currently in alpha development. It’s a single-paradigm functional language with 100% type inference that compiles to machine code or WebAssembly. Roc takes inspiration from Elm but extends those ideas beyond the frontend, introducing innovations like platforms vs applications, opportunistic mutation, and purity inference. The language features static dispatch, a small set of simple primitives that work well together, and excellent compiler error messages. Roc is already being used in production by companies like Vendr, and is supported by a nonprofit foundation with corporate and individual sponsors.
Richard Feldman is the creator of the Roc programming language and author of “Elm in Action.” He works at Zed Industries and has extensive experience with functional programming, particularly Elm. Richard is also the host of Software Unscripted, a weekly podcast featuring casual conversations about code with programming language creators and industry experts. He’s a frequent conference speaker and teacher, with courses available on Frontend Masters. Richard has been a longtime contributor to the functional programming community and previously worked at NoRedInk building large-scale Elm applications.
Arc::bump(), which is an alias for clone().