Production Monitoring for Agents

You don’t know what your agent will do until it’s in production. In this technical deep dive, learn why production monitoring for AI agents requires a new approach to observability. ​When you ship traditional software to production, you usually have a good sense of what to expect. Users click buttons, fill out forms, and navigate through more predictable paths. Your test suite may cover a majority of code paths, and monitoring tools track the usual signals: error rates, response times, and database queries. When something breaks, you look at logs and stack traces. ​Agents operate differently…