---
title: "AgentOps"
description: "1 posts about AgentOps, summarised, each linking to the original."
---

# AgentOps
> 1 posts about AgentOps, summarised, each linking to the original.

## Articles

### [Announcing the Databricks Big Book of AgentOps](https://yomu.fyi/post/announcing-the-databricks-big-book-of-agentops.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Pavithra Rao, Jeanne Choo, Kyra Wulffert, Alex Baur
- Published: Sep 2, 2026
- Type: Announcement

The Big Book of AgentOps presents AgentOps as an operating discipline for building, deploying and improving production AI agents, combining architecture, evaluation, observability, governance, security and cost management. It addresses the operational risks of tool calls, enterprise-data retrieval, API actions, retries and multi-step execution, where quality, permissions and spend can become difficult to control. The six-chapter book covers four agent architectures, four deployment patterns, a seven-phase lifecycle, DevOps practices, operationalization planning and stakeholder alignment, with Unity Catalog, Unity Gateway and MLflow central to its Databricks-based deployment guidance. Its practices include building evaluation datasets from real traces, calibrating automated judges with subject-matter-expert feedback, designing tracing and access controls into systems, and using RACI matrices to clarify ownership. The announcement cites customer examples including FactSet’s 44% accuracy improvement, DXC Technology’s 30% total-cost-of-ownership reduction, and ICE’s 77% syntactic accuracy and 96% execution matches.