We’ve automated deployments. We’ve standardized governance. But operations? Still largely manual, reactive, and human-driven.

This session is a practitioner-focused deep dive into Agentic InfraOps on Microsoft Azure:
- how to move from dashboards and alerts to AI agents that observe, decide, and act in your cloud environment.
- how to orchestrate agents to gather requirements, design a solution, create IaC templates, and deploy to your environments.

Instead of theory, we’ll walk through real patterns and live demos showing how to:
- Build agent-driven operational workflows on top of Azure Monitor, Log Analytics, and platform signals
- Combine Azure services + AI agents to automate remediation, scaling decisions, and compliance checks
- Design safe guardrails and governance for autonomous operations
- Integrate with existing IaC, GitOps, and platform engineering practices

We’ll explore where this approach actually works today—and where it breaks.

Expect live demos, real architecture decisions, and lessons learned from implementing these patterns in production-like environments.

After this session, attendees will:
- Understand what Agentic InfraOps actually means in practice (beyond hype)
- Know how to design event-driven + agent-driven operational workflows on Azure
- Leave with reference architectures and access to a code repository they can adapt to their needs