Summary In this episode, Kostas and Nitay are joined by Amey Chaugule and Matt Green, co-founders of Denormalized. They delve into how Denormalized is building an embedded stream processing engine—think “DuckDB for streaming”—to simplify real-time data workloads. Drawing from their extensive backgrounds at companies like Uber, Lyft, Stripe, and Coi…

Summary In this episode, we dive deep into the future of data infrastructure for AI and ML with Nikhil Simha and Varant Zanoyan, two seasoned engineers from Airbnb and Facebook. Nikhil and Varant share their journey from building real-time data systems and ML infrastructure at tech giants to launching their own venture. The conversation explores th…

Overview In this episode, we chat with Chris Riccomini about the evolution of stream processing and the challenges in building applications on streaming systems. We also chat about leaky abstractions, good and bad API designs, what Chris loves and hates about Rust and finally about his exciting new project that involves object storage and LSMs. Con…

Come one come all! The Tech On The Rocks podcast is coming soon to an internet near you! I have yet to work out all of the finer details, like who is going to be doing the podcast with me actually, and what it’s going to be about… but it’s on the roadmap to success, and here is a teaser for you. This is some sound editing I did to put an intro toge…