Monitoring and Reliability › Monitoring and Reliability

Michael BrenndoerferAugust 20, 20251 min read
AI Agent HandbookAll chapters
Part 14 of 15Deployment and Operations - From Prototype to Production
Chapter 40Monitoring and Reliability › Monitoring and Reliability
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Your agent is deployed. Users can access it. Requests are flowing in. Everything seems to be working. But how do you know it's actually working well? And what happens when something goes wrong?

This is where monitoring and reliability come in. Deployment gets your agent running, but monitoring keeps it running well. Think of it like the difference between launching a ship and keeping it seaworthy. You need instruments to tell you how the ship is performing, and you need systems to handle problems when they arise.

In this chapter, we'll explore how to monitor your agent's health, handle errors gracefully, and build reliability into your system so users can depend on it. We'll build on the logging techniques from Chapter 12 and the deployment patterns from Chapter 14.1 to create an agent that doesn't just work today, but keeps working tomorrow and next week.