AI Observability Is Moving From Detection to Action
theCUBE Research, Wednesday, September 9th, 2026
AI observability is evolving from monitoring into an intelligence layer that lets agents diagnose and fix problems.
Paul Nashawaty of theCUBE Research argues traditional observability was built for deterministic software, while AI applications behave unpredictably and require evaluating response quality in context.
Dynatrace's acquisition of Arize AI shows AI and application observability becoming inseparable, since agent failures can stem from models, prompts, APIs, databases or infrastructure.
Observability is shifting from dashboards for engineers to data consumed by autonomous agents that diagnose and remediate issues. Enterprises will require accurate telemetry, shared context, governance and guardrails before granting agents production access.