This is "Rust in Production", a podcast about companies who use Rust to shape the future of infrastructure. We follow their journey in pursuit of more reliable and efficient software as they solve some of the most challenging technical problems in the world.
Each episode dives deep into real-world applications of Rust, showcasing how this powerful systems programming language is revolutionizing the way we build and maintain critical infrastructure. From startups to tech giants, we explore the diverse landscape of organizations leveraging Rust's unique features to create safer, faster, and more scalable systems.
Our guests share their experiences, challenges, and triumphs in adopting Rust for production environments. Listen in as we discuss topics such as concurrent programming, memory safety, performance optimization, and how Rust's ownership model contributes to building robust software systems. Whether you're a seasoned Rust developer, an infrastructure engineer, or a tech leader considering Rust for your next project, "Rust in Production" offers valuable insights and practical knowledge.
Release Schedule
"Rust in Production" releases new episodes every other Thursday at 4 PM UTC. Our podcast is structured into seasons, each featuring a diverse range of companies and experts in the Rust ecosystem. Recent episodes have included:
- Season 2: Interviews with representatives from System76, Fusion Engineering, OxidOS, Matic, Thunderbird, AMP, and curl.
- Season 1: Conversations with leaders from Sentry, Tweede Golf, Arroyo, Apollo, PubNub, and InfluxData.
What You'll Learn
- Real-world case studies of Rust implementation in production environments
- Insights into how companies overcome technical challenges using Rust
- Best practices for adopting Rust in various infrastructure contexts
- The impact of Rust on software reliability, efficiency, and scalability
- Future trends in systems programming and infrastructure development
Join us as we uncover the latest trends in Rust development, explore best practices for using Rust in production, and examine how this language is addressing some of the most pressing issues in modern software engineering. From web services and databases to embedded systems and cloud infrastructure, we cover the full spectrum of Rust's impact on the tech industry.
Each episode dives deep into real-world applications of Rust, showcasing how this powerful systems programming language is revolutionizing the way we build and maintain critical infrastructure. From startups to tech giants, we explore the diverse landscape of organizations leveraging Rust's unique features to create safer, faster, and more scalable systems.
Our guests share their experiences, challenges, and triumphs in adopting Rust for production environments. Listen in as we discuss topics such as concurrent programming, memory safety, performance optimization, and how Rust's ownership model contributes to building robust software systems. Whether you're a seasoned Rust developer, an infrastructure engineer, or a tech leader considering Rust for your next project, "Rust in Production" offers valuable insights and practical knowledge.
Release Schedule
"Rust in Production" releases new episodes every other Thursday at 4 PM UTC. Our podcast is structured into seasons, each featuring a diverse range of companies and experts in the Rust ecosystem. Recent episodes have included:
- Season 2: Interviews with representatives from System76, Fusion Engineering, OxidOS, Matic, Thunderbird, AMP, and curl.
- Season 1: Conversations with leaders from Sentry, Tweede Golf, Arroyo, Apollo, PubNub, and InfluxData.
What You'll Learn
- Real-world case studies of Rust implementation in production environments
- Insights into how companies overcome technical challenges using Rust
- Best practices for adopting Rust in various infrastructure contexts
- The impact of Rust on software reliability, efficiency, and scalability
- Future trends in systems programming and infrastructure development
Join us as we uncover the latest trends in Rust development, explore best practices for using Rust in production, and examine how this language is addressing some of the most pressing issues in modern software engineering. From web services and databases to embedded systems and cloud infrastructure, we cover the full spectrum of Rust's impact on the tech industry.
Welcome to the final episode of this season of Rust in Production. My guest is Orhun Parmaksız from JetBrains, and we talk about building developer tools with Rust.
JetBrains is best known for IntelliJ IDEA, Kotlin, and a long line of IDEs for professional software teams. In the Rust world, that now includes RustRover: a commercial IDE built on the IntelliJ platform, with deep Rust support for navigation, refactoring, debugging, testing, and large codebases.
This episode is about where Rust fits into that world. We talk about why JetBrains does not plan to rewrite the IntelliJ platform in Rust, why Fleet used Rust for its File System Daemon, how Air builds on parts of Fleet's architecture, and why JetBrains prefers out-of-process Rust helpers over JNI inside the JVM. We also get into RustRover's internals: PSI, THIR, MIR-based expression evaluation in the debugger, procedural macro sandboxing, library stubs, parser regression testing, cargo-nextest support, and the practical trade-offs between JetBrains' indexing model and rust-analyzer's Salsa-based approach.
JetBrains is best known for IntelliJ IDEA, Kotlin, and a long line of IDEs for professional software teams. In the Rust world, that now includes RustRover: a commercial IDE built on the IntelliJ platform, with deep Rust support for navigation, refactoring, debugging, testing, and large codebases.
This episode is about where Rust fits into that world. We talk about why JetBrains does not plan to rewrite the IntelliJ platform in Rust, why Fleet used Rust for its File System Daemon, how Air builds on parts of Fleet's architecture, and why JetBrains prefers out-of-process Rust helpers over JNI inside the JVM. We also get into RustRover's internals: PSI, THIR, MIR-based expression evaluation in the debugger, procedural macro sandboxing, library stubs, parser regression testing, cargo-nextest support, and the practical trade-offs between JetBrains' indexing model and rust-analyzer's Salsa-based approach.
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