Taming the Data Estate with Copilot and Azure Service Monitor | MVP Unplugged

Join host Justin Garrett from the Microsoft MVP Program as he sits down with Magnus Mårtensson, a 14-time Azure MVP, to explore what it takes for enterprises to manage growing data estates with AI-powered observability in Azure. As organizations scale across hybrid environments, multi-cloud platforms, and legacy systems, monitoring application health and managing diagnostic data becomes increasingly complex. In this episode, Magnus explains how Azure Monitor, Service Groups, and AI-assisted investigation are transforming observability by turning massive volumes of telemetry into actionable insight. You’ll learn how Azure Copilot can analyze logs, detect anomalies, recommend next steps, and help prioritize Azure Advisor recommendations using natural language inside tools like Visual Studio Code. The result: faster investigations, improved uptime, reduced operational overhead, and smarter decision-making across your cloud estate. Whether you're modernizing applications or optimizing resources across subscriptions, this episode highlights real-world strategies for building resilient, cost-efficient systems with AI in Azure. In this episode, you’ll learn: ✅ How to use Azure Monitor and Log Analytics for enterprise observability ✅ Why Service Groups help Azure understand application architecture ✅ How AI-assisted investigation accelerates root cause analysis ✅ Best practices for managing diagnostics data at scale ✅ How Azure Copilot turns natural language into KQL queries ✅ When to use Azure Advisor insights to optimize performance and cost 🔗 Chapter Markers: 00:06 - Welcome to MVP Unplugged Episode 3 00:32 - Meet Magnus Mårtensson 01:24 - Observability Challenges Explained 03:14 - Azure Monitor Overview 05:27 - Managing Log Data at Scale 06:21 - AI for Diagnostics Data 09:36 - Azure Service Groups (Preview) 11:04 - Demo: Mapping Applications 15:20 - Health Models 21:30 - AI-Assisted Investigation 27:30 - Azure Copilot in VS Code 30:33 - Azure Advisor with AI 35:35 -