Podcast
InfinyOn - Deb Roy Chowdhury, VP Product Management
Picture this: Your organization’s data infrastructure resembles a busy kitchen with too many cooks. You’re juggling Kafka for messaging, Flink for processing, Spark for analytics, Airflow for orchestration, and various Lambda functions scattered about. Each tool excellent at its job, but together they’ve created a complex feast of integration challenges. Your data teams are spending more time managing tools than extracting value from data.
InfinyOn reimagines this chaos with a radically simple approach: a unified system for data streaming that runs everywhere. Unlike traditional solutions that struggle at the edge, InfinyOn gracefully handles data streams from IoT devices to cloud servers. And instead of cobbling together different tools, developers can build complete data pipelines using their preferred languages - be it Rust, Python, or SQL - with built-in state management.
At the heart of InfinyOn is Fluvio, a Rust-based data streaming platform that’s fast, reliable, and easy to use.
Show Notes
About InfinyOn
Data pipelines are often slow, unreliable, and complex. InfinyOn, the creators of Fluvio, aims to fix this. Built in Rust, Fluvio offers fast, reliable data streaming. It lets you build event-driven pipelines quickly, running as a single 37 MB binary. With features like SmartModules, it handles various data types efficiently. Designed for developers, it offers a clean API and intuitive CLI. Streamline your data infrastructure at infinyon.com/rustinprod.
About Deb Roy Chowdhury
For fifteen years, Deb has been a behavioral detective, piecing together human decision-making through conversations, data, and research. His passion lies in product innovation—finding that sweet spot where desirability, viability, and feasibility converge. From 7-person startups to tech giants of 165,000, he helped build products that people love. Deb is currently the VP of Product Management at InfinyOn, where he leads the product strategy and roadmap for Fluvio, a Rust-based data streaming platform.
Links From The Episode (In Chronological Order)
- Polars - Fast DataFrame library implemented in Rust
- Apache Arrow - Cross-language development platform for in-memory data
- Arroyo - SQL-based data streaming platform in Rust
- Arroyo Podcast Episode with Micah Wylde
- NATS - High-performance messaging system written in Go
- Memphis - Go-based streaming stack built with NATS as its core
- Four Horsemen Of Bad Rust Code (FOSDEM 2024) - Matthias’ talk on writing bad Rust code
Official Links
About corrode
"Rust in Production" is a podcast by corrode, a company that helps teams adopt Rust. We offer training, consulting, and development services to help you succeed with Rust. If you want to learn more about how we can help you, please get in touch.