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 - AI for Cost Optimization
39:23 - Wrap-Up

👉 Subscribe for more MVP insights and AI-powered development tips!
#AzureMonitor #AzureCopilot #Observability #EnterpriseIT #LogAnalytics
#CloudComputing #AIinCloud #MicrosoftDeveloper #Azure #DevOps
#ApplicationMonitoring #CloudOptimization #MVPUnplugged

🔗 Resources & Links
🎁 Free Microsoft Foundry Trial: https://aka.ms/devrelft
✏️ Azure Monitor docs: https://learn.microsoft.com/azure/azure-monitor
✏️ Azure Service Groups docs: https://learn.microsoft.com/azure/governance/service-groups
➡️ Azure Tools for VS Code: https://code.visualstudio.com/docs/azure/gettingstarted
MVP Unplugged Playlist:
https://youtube.com/playlist?list=PLlrxD0HtieHhclud3yVB88znZPKCZYX_8&si=4HoycKJyUcl1qwV-

About Magnus:
Magnus Mårtensson is a cloud architecture advisor and founder of Loftysoft, helping organizations design scalable, cloud-native solutions aligned to business strategy. He is an internationally recognized speaker, trainer, and community leader behind events like CloudBurst and Global Azure.

About Justin:
Justin Garrett is host of MVP Unplugged and a Principal PM in Developer Relations at Microsoft, with 20+ years of experience across Windows, Bing, Edge, and Cloud Advocacy. He also leads the Microsoft MVP Program.

Microsoft Developer

Azure MVP Magnus Martinsson demonstrates how to manage enterprise-scale diagnostics data using Azure Monitor, service groups, and health models. The demo covers Azure's new service groups feature (currently in preview) that lets teams define application topology in Azure, enabling health models that visualize resource dependencies and surface issues. The episode also shows how Azure Copilot integrated with VS Code via Azure MCP server can query Log Analytics workspaces using natural language, auto-generate KQL queries, and prioritize Azure Advisor recommendations. The conversation also touches on future potential for AI-assisted cost optimization across Azure estates.

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