The Databricks Big Book of AgentOps: The New DevOps Principles for AI Agents

The journey from traditional machine learning models to AI systems demands a new, specialized set of operational practices. This talk traces the evolution of core DevOps principles from the decade of MLOps to the Agents era, where we must plan for deploying and maintaining autonomous, multi-step AI agents that can reason, plan, and take actions in the real world using external tools.The talk will show how classic DevOps tenets like continuous deployment must be radically re-engineered to tackle core AgentOps challenges. Authors of The Databricks Big Book of Agent Ops will cover:Ensuring Maturity of Operational Controls: How critical operational controls must evolve to support multi-agent architectures.Distributed Tracing and Observability: Transforming single-step I/O logs into traces essential for debugging and explaining agent behavior.Governed Deployment and Rollback: Establishing AgentOps CI/CD pipelines that treat configurations (prompts, tools, routing logic) as code