Webinar Description
Key Takeaways
- Focuses on observability and governance challenges for autonomous AI agents running in Microsoft Azure and Foundry environments.
- Demonstrates end-to-end telemetry from prompt input to infrastructure metrics using Elastic’s native OpenTelemetry Collector foundation.
- Includes a live demo of automated incident triage on Azure.
- Designed for enterprise IT professionals, cloud architects, DevOps engineers, SREs and platform engineers.
- Previews features scheduled for Microsoft Ignite.
Observability Gaps in Enterprise AI Deployments
As enterprises accelerate adoption of autonomous AI agents, IT teams encounter new control gaps that traditional monitoring tools were not designed to address. Tracing agent actions, understanding the root cause of outcomes and maintaining governance over autonomous decision-making present distinct operational challenges. This webinar, hosted by Elastic, examines how observability practices must evolve to accommodate AI workloads operating within Microsoft Azure and Foundry environments.
Technical Focus Areas
The session covers several technical domains relevant to AI operations and cloud observability:
- Agent governance: Establishing control layers for autonomous agents to ensure visibility into their actions and decisions.
- End-to-end telemetry: Capturing data from prompt input through to infrastructure metrics, enabling complete traceability of AI workloads.
- Automated incident triage: Using observability data to identify root causes when AI agents produce unexpected outcomes.
- OpenTelemetry integration: Leveraging the native OpenTelemetry Collector as a foundation for standardised telemetry collection.
The webinar also addresses cost and performance considerations when scaling observability for high-volume AI workloads, including comparisons with Prometheus and other monitoring approaches.
Technologies and Tools
The session references Elastic Agent, Elastic Agent Builder and Workflows alongside Microsoft Azure and Microsoft Foundry. OpenTelemetry Collector serves as the telemetry collection foundation, reflecting the broader industry shift toward open standards for observability data.
Who Should Attend
This webinar is intended for technical professionals responsible for deploying, operating or governing AI agents in enterprise cloud environments. Relevant roles include cloud architects, DevOps engineers, site reliability engineers, platform engineers and technical decision-makers overseeing AI and ML infrastructure. The content is most applicable to mid-to-large enterprises running AI workloads on Azure who need to address visibility gaps, trace agent behaviour to specific prompts and manage the complexity of monitoring at scale.
Format
The event is a virtual webinar featuring a live demonstration of automated incident triage on Azure, followed by a Q&A session. A Global Cloud Solutions Architect from Elastic hosts the session.