Netdata: Next-Gen Server Monitoring for Agent Sprawl

If you run AI agents in production, your monitoring situation probably sucks. I don’t say that to be dramatic. Traditional APM tools grew up watching request-response web services; predictable traffic, well-defined endpoints, resources that scale the way textbooks say they should. Agent workloads break every one of those assumptions.

Agents spin up, do something weird for three seconds, and vanish. They consume GPU, CPU, and memory in bursts that look like anomalies to anything trained on web server baselines. They chain API calls in patterns that shift based on input. And when something breaks? Good luck tracing the failure through four nested agent invocations and a vector database query that returned garbage.