Agentic Architectures — Article 3: AgentOps

Treating AI Like the Distributed System It Actually Is There’s a moment every team hits, usually somewhere between the third demo and the first real production deployment. The agent works beautifully in the notebook. It handles every test case you throw at it. You ship it. And then, three days later, you get a Slack message from a user that says something like: “It’s been running for 20 minutes and nothing is happening.” You open the logs. There are no logs. The agent made 47 API calls, hit a rate limit on call 12, entered an undocumented retry state, and has been quietly spinning ever since — accumulating token costs, holding open a connection, and doing absolutely nothing useful. Welcome to production. The discipline of AgentOps exists because agentic systems are distributed systems, and distributed systems fail in distributed ways — partially, silently, and at the worst possible time. The practices in this article aren’t optional polish you add after launch. They’re the foundation t