Durable execution, reliability engineering, and the future of agentic AI with Jeremy Edberg at DBOS

Durable execution has been solving reliability problems for decades. Now it's the missing primitive for agentic AI systems.We're joined by Jeremy Edberg, C-Suite Advisor* at DBOS, Inc., to explore how durable execution works, why it matters for building production-ready AI agents, and what lessons from Netflix-scale reliability engineering apply directly to the age of agentic coding.*Since recording, Jeremy has become C-Suite Advisor to DBOS, Inc.KEY TAKEAWAYS00:00 Introduction 01:30 DBOS was born from research into replacing the operating system with a database. 04:00 A career spent making things reliable — from Reddit to Netflix — built Jeremy's obsession with automation. 09:00 If you do something twice, automate it; make manual steps look like automation. 12:30 Durable execution lets systems resume from exactly where they last succeeded. 14:00 Replaying saved LLM outputs removes non-determinism from agentic debugging. 16:00 In agentic coding, the bottleneck isn't writing code — it's deployment, testing, and operations. 20:00 DBOS adds roughly 1% overhead to Postgres, making durable execution practical at scale.28:00 Agentic AI created a new class of workloads between instant API calls and long batRESOURCES MENTIONEDDBOS, Inchttps://www.dbos.devTransact libraryhttps://www.dbos.dev/dbos-transactCockroachDBhttps://www.cockroachlabs.comDosuhttps://dosu.dev/ Thanks for listening to “Hello Agent!: The podcast at the intersection of data & agents.” If you loved this episode, let us know with a 5-star review! Remember to subscribe so you don’t miss an episode. To learn more about Redpanda, visit redpanda.com#RealTimeData #DataStreaming #Redpanda