Observe AI Apps With Symptoms And Causes
Design AI app telemetry that connects user-visible symptoms to root-cause signals.
AI observability has to answer two questions: what broke for the user, and why did the system behave that way? Symptoms and causes SRE monitoring distinguishes the symptom from the cause. The symptom is what the user experiences. The cause is the internal condition that explains it. AI apps make this distinction more important because many failures are semantic. The server can return a successful response while the answer is stale, unsupported, overconfident, unsafe, or too expensive. The four golden signals still form the base: latency, traffic, errors, and saturation. They tell you whether the service is slow, busy, failing,…
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