Content by jordanselig (13)

jordanselig details a practical approach to running the open-source OpenClaw AI assistant 24/7 on Azure App Service. The guide covers architecture, deployment steps, security, persistent storage, cost factors, and how Azure OpenAI and managed identity streamline and secure the setup.

jordanselig demonstrates how the App Service Observability MCP Server has expanded from a local IDE tool to a scalable, AI-powered web solution on Azure App Service, leveraging Azure OpenAI and robust DevOps integration.

Jordan Selig demonstrates how developers can leverage an MCP server to connect GitHub Copilot with Azure App Service logs, enabling AI-driven diagnostics and troubleshooting directly in the IDE or CLI.

jordanselig describes how Easy MCP enables seamless integration of existing REST APIs with AI agents like GitHub Copilot on Azure App Service—with zero code changes required.

jordanselig walks through modern approaches for building AI agents and agentic web apps on Azure App Service, highlighting integration strategies, frameworks, and practical developer resources.

jordanselig explains how developers can build client-side multi-agent systems on Azure App Service using ChatClientAgent and the Microsoft Agent Framework, sharing architecture insights, code samples, and decision factors.

jordanselig demonstrates how to build sophisticated multi-agent AI solutions on Azure App Service using Microsoft Agent Framework, providing real-world workflow orchestration and deployment guidance for developers.

jordanselig delivers a comprehensive guide on developing robust, intelligent AI agents using Microsoft Agent Framework and Azure App Service, addressing long-running workflow scenarios with modern async architectures.

jordanselig explains how Outbound Network Segmentation for App Service Environment v3 (ASEv3) enables Azure app developers and admins to manage outbound traffic routing, providing improved security and compliance controls.

jordanselig illustrates how to build sophisticated multi-agent AI applications on Azure App Service, combining Azure AI Foundry, .NET Aspire, and MCP tooling for a cloud-native, scalable, and observable solution.

jordanselig details the new self-service quota management experience for Azure App Service, helping developers and IT admins proactively manage resource limits via an updated portal interface.

jordanselig walks through how developers can connect Azure AI Foundry agents to any application using the Model Context Protocol (MCP) and App Service, with practical examples and deployment guidance.

jordanselig from Microsoft announces the general availability of inbound IPv6 support for Azure App Service, outlining its implementation, configuration, and future plans.