Don't Let Your AI Run Blind: Observability for Azure AI Foundry

Greg Crist

Global Cloud Solutions Architect

Elastic

Autonomous agents are showing up in production faster than most IT teams can govern them. Who approved an agent's last action? Can you trace a bad outcome back to the prompt that caused it? For enterprise IT, that's the new control gap.

Join Elastic engineering to see how to get end-to-end telemetry. From prompt input to infrastructure metrics across Microsoft Foundry and Azure workloads, built on Elastic Agent's new native OpenTelemetry Collector foundation. We'll show a live demo handling automated incident triage on Azure, plus a preview of what we're showcasing at Microsoft Ignite.

Highlights

• Agent governance as the control layer: using observability to answer who did what, and why, when an autonomous agent acts without a human in the loop.

• Why the competition’s per-host APM pricing breaks at agent scale: why Elasticsearch is running 30x faster than Prometheus and up to 50% cheaper than others for the metrics volume AI workloads generate.
• Demo of live agent monitoring: Automated root-cause triage on Azure, built on Elastic Agent Builder and Workflows.

Additional resource

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