LLM Observability 2026: Why Traditional Monitoring Is Blind to AI Systems

When a classic microservice fails, the error is visible: an exception is thrown, an HTTP status code is not 2xx, a metric spikes. When an LLM-based system fails, the error often remains invisible: the response is grammatically flawless, but factually wrong. The concrete context is subtly irrelevant. The cost per request has quietly doubled. And... Weiterlesen