Practical path to build AI-ready application on App Service @MicrosoftReactor
Practical path to build AI-ready application on App Service  @MicrosoftReactor
Uploaded August 2026 | Updated September 2026, 3 weeks ago
Most modernization projects don't stall because of technology. They stall because real-world applications depend on things that are difficult to rebuild: custom software, legacy dependencies, specialized configurations, and years of accumulated business logic.

In this session, we'll examine how to modernize existing applications with less disruption, reduce migration risk, and prepare workloads for the next generation of AI-powered experiences. Modernization isn't the finish line—it's what makes AI possible.

🔗 https://aka.ms/AzureAppServicesDoc

📌 This event is a part of a series, learn more here: https://aka.ms/BCNA

🔗 Learning Resources Available
Managed Instance on Azure App Service GA – https://aka.ms/MIonAppSvcGAManaged Instance on Azure App Service GitHub Repo - github.com/Azure/Managed-Instance-on-Azure-App-Service

🔗 Embracing AI Gradually
Built In MCP - https://aka.ms/Build26/AppService-BuiltInMCPAgent
Observability in App Service - https://aka.ms/Build26/AppService-Agents

🔗 Lift, Extend, Modernize Approach
GitHub Copilot App Modernization Tooling - https://aka.ms/Build26/GHCPAppModAgentic
IIS Migration to Managed Instance - https://aka.ms/Build26/AgenticIISMigration

0:00:59 Introduction and Presenters
0:01:40 Modernization Challenges Breakdown
0:07:42 Managed Instance on Azure App Service Overview
0:13:08 Key Platform Capabilities (Security, Scaling)
0:17:16 Modernization with GitHub Copilot
0:19:33 AI Integration with Built-in MCP
0:23:51 Demo: Managed Instance and Built-in MCP
0:25:33 Demo: GitHub Copilot Modernization Assessment
0:28:50 Demo: Installation Scripts and Dependencies
0:31:42 Demo: Provisioning Managed Instance
0:41:20 Demo: Configuration (Storage, Registry, RDP)
0:48:59 Demo: Scaling and Monitoring
0:50:24 Demo: MCP Server Integration
0:54:16 Conclusion and Resources

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Practical path to build AI-ready application on App Service

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