Nirvaan Roy
Traditional APM tools break down when applied to generative AI applications. I learned this the hard way while managing API clusters where standard latency and error metrics failed to capture output hallucinations or silent token degradation. Monitoring deterministic software is straightforward; monitoring probabilistic AI pipelines is an entirely different beast. I started writing TelemetryOps as an open-source side project to trace token flow, prompt latency, and vector database query costs in unified dashboards. The developer community response was overwhelming, leading us to build out a f…
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