Traditional APM assumes deterministic services; autonomous AI systems are not. This series builds runtime observability for non-deterministic agents from the ground up: why classic monitoring fails, traces + metrics + evals as first-class telemetry, semantic capture of reasoning and tool calls (OpenTelemetry GenAI), detecting regressions without ground truth, and a cost-, privacy-, and sampling-aware reference architecture. Grounded in NIST AI RMF, NIST SP 800-137, OWASP LLM Top 10, the OpenTelemetry GenAI conventions, and the evaluation-methodology literature.
1 series · 5 articles