ОТНОСТНО ТОЗИ ЕПИЗОД
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 TAKEAWAYS
00:00 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 bat
RESOURCES MENTIONED
https://www.dbos.dev/dbos-transact
CockroachDB
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