Browse .NET Community (49)

TulikaC introduces Platform Release Channel for Azure App Service for Linux, a setting that lets teams control how quickly runtime patch updates are applied so they can balance security updates with validation time in production.
osmancokakoglu announces the winners of the AI Dev Days Hackathon and summarizes the projects and the Microsoft stack they used, including Azure AI Foundry, Azure OpenAI models, and the Microsoft Agent Framework, plus common Azure services and DevOps practices used to ship production-grade agentic apps.
hcamposu announces Microsoft Host Integration Server (HIS) 2028 preview, outlining the move to .NET 10 (including Linux support for non-SNA features), new REST-based connectivity for DB2 and CICS/IMS workloads, and a set of deprecations aimed at removing legacy dependencies and improving security and hybrid operations.
Devi Priya explains how GitHub Copilot Workspace supports intent-driven, multi-file refactoring across a repository, including a practical walkthrough that modernizes an app’s authentication flow and highlights planning, review, and adoption best practices.
mosiddi explains how the Agent Governance Toolkit (AGT) “shifts left” governance for AI agents by catching security and compliance violations before runtime, using pre-commit hooks, PR gates, CI checks, and release-time controls like SBOMs, signing, and provenance attestations.
despindola announces general availability of prefix-scoped access for User Delegation SAS in Azure Blob Storage, letting you scope SAS tokens to a virtual directory (prefix) within a container. The post explains why this helps least-privilege access and includes REST API and .NET SDK examples plus required parameters like sr=d and sdd.
skundapura outlines a phased approach to migrate file-based application logging from Splunk to Azure Application Insights on VMs, using Azure Monitor Agent and Log Analytics, then mapping alerts and optionally adding SDK instrumentation for deeper traces and metrics with security and PHI considerations.
Shah_Viral explains how to build an enterprise “knowledge copilot” on Azure using Foundry IQ knowledge bases and Azure AI Search agentic retrieval, including C#/.NET setup, MCP-based agent connection, and key trade-offs around preview maturity, cost, latency, and security controls like ACLs and Purview labels.
rajesh-yadav breaks down what shipped in Microsoft Agent Framework 1.0 (GA), explaining its agent + workflow split, core runtime building blocks, and new interoperability pieces like A2A and MCP. The post includes minimal C# and Python examples using Azure AI Foundry/Projects endpoints to run an agent in production-style setups.

Why Does Azure App Service Return HTTP 404?

AmritpalSinghNaroo explains common, real-world reasons Azure App Service can return HTTP 404 even when the app looks “Running”, and provides a practical checklist to isolate whether the issue is routing, startup/configuration, deployment artifacts, platform differences (Windows vs Linux), or upstream components like Application Gateway.
vikasgupta5 explains how Azure Functions Service Bus triggers work and provides a practical troubleshooting guide for common failures like connection/auth issues, message lock loss, DLQ behavior, duplicate processing, scaling problems, sessions, and AMQP/network errors, with concrete host.json settings and verification steps.
Debapriya explains how to use VS Code Dev Containers to make .NET development reproducible, including a working .NET 8 Web API + PostgreSQL setup with Docker Compose, plus practical guidance for Docker Desktop vs Docker Engine in WSL and common troubleshooting checks.
jordanselig shows how to add runtime governance to a multi-agent ASP.NET Core travel planner on Azure App Service using the Microsoft Agent Governance Toolkit, including YAML policy allowlists, audit logging into Application Insights, and SRE controls like SLOs and circuit breakers.
mosiddi explains how Microsoft’s open-source Agent Governance Toolkit implements production-grade security and reliability controls for autonomous AI agents, covering its package architecture, policy enforcement (Agent OS), zero-trust identity (Agent Mesh), privilege rings (Agent Hypervisor), and SRE/observability integrations, including Azure deployment patterns.
jordanselig shows how to instrument Microsoft Agent Framework agents with OpenTelemetry GenAI semantic conventions and send that telemetry to Azure Application Insights, enabling the Agents (Preview) view for per-agent token usage, latency, errors, and end-to-end agent runs across an ASP.NET Core API and a WebJob.
jordanselig walks through building an MCP App (a tool plus a UI resource) with ASP.NET Core, rendering an interactive weather widget inside chat clients like VS Code Copilot, and deploying the MCP server to Azure App Service using azd and Bicep.
Gaurav-Seth describes a hands-on, AI-guided workflow for migrating legacy IIS-hosted ASP.NET Framework apps to Managed Instance on Azure App Service, including how registry, storage, SMTP/MSMQ, and COM dependencies are handled via ARM templates and an install.ps1 startup script.

Continued Investment in Azure App Service

Byron Tardif outlines where Azure App Service is actively investing—Premium v4, App Service Managed Instance, runtime updates, reliability work, and deployment workflow improvements—plus how .NET Aspire and AI-enabled apps fit into the platform’s direction.
TulikaC announces the general availability of .NET Aspire on Azure App Service, outlining how to deploy Aspire AppHost-based distributed apps to App Service (including deployment slots), with links to Microsoft Learn quickstarts and configuration guidance.
swapnil_nagar explains how to avoid all-or-nothing retries when processing Azure Service Bus messages in Azure Functions batch mode by manually settling each message (complete/abandon/dead-letter/defer), with examples in Node.js, Python, and .NET.
fiveisprime introduces “Code Optimizations” in the Azure App Service VS Code extension, which uses Application Insights Profiler data to pinpoint slow .NET methods and then launches GitHub Copilot Chat with stack traces and source context to suggest targeted fixes.
Lee_Stott explores how to build On-Call Copilot, an AI-driven, multi-agent incident triage and reporting solution using Microsoft Agent Framework, Foundry Hosted Agents, Model Router, and Azure OpenAI—detailing the technical patterns, code, and deployment steps for practical DevOps engineers.
Mandy Whaley outlines how GitHub Copilot and the new modernization agent are bringing AI-powered automation to every stage of application modernization, with end-to-end workflows integrating deeply into Azure and developer toolchains.
SajalMukherjee explores how Azure API Management enables the Backend-for-Frontend pattern, offering practical API orchestration and aggregation strategies to tailor APIs for diverse frontend needs.
Sanchit Mehta presents a detailed look at how the Azure SRE Agent autonomously investigates and resolves incidents, often identifying and fixing its own issues. The post explains how architectural choices—like filesystem workspaces and context layering—make these advanced AI-driven capabilities possible.
Vineela-Suri shares a detailed guide on implementing Agent Hooks within Azure SRE Agent, covering governance, safety, and auditing practices for automating incident response—including hands-on configuration to prevent unsafe operations and maintain compliance.
sabappal's tutorial walks you through setting up Behave with Visual Studio Code, illustrating best practices for structuring, configuring, and automating BDD tests with Python.
Jan-Kalis details how Azure Container Apps Dynamic Sessions can securely execute AI-generated and agent-run code using isolated sandboxes, with MCP integration, code interpreters, and custom containers. This practical guide illustrates setup, security, and deployment best practices.
kinfey explores Phi-4-Reasoning-Vision-15B, Microsoft's new vision reasoning SLM. The article provides developers with detailed design analysis, example code, and real-world applications for visual understanding and actionable decision-making.
sinnypan announces the GA release of Azure Maps Geocode Autocomplete API, detailing its new capabilities, API usage, and how developers can create fast, structured location search in their applications.
reynaldom details step-by-step how to migrate or deploy the BizTalk Server Aggregator pattern on Azure Logic Apps Standard, covering message correlation, workflow templates, and schema reuse for enterprise integration.
adamsharif-msft provides an in-depth walkthrough on migrating from the legacy AKS Virtual Nodes add-on to the next-generation Virtual Nodes on Azure Container Instances, highlighting new features, requirements, and stepwise implementation tips.
pratikpanda explains how the Agent Skills SDK lets developers give AI agents reliable, context-aware skills using an open format and Python SDK, with integration for Microsoft agent ecosystems.
WSilveira brings together Azure Logic Apps experts, community voices, and technical news in this March 2026 Aviators Newsletter. Learn about advanced automation, updates for API Management, MCP, hybrid deployment, and AI-powered integration strategies across enterprise scenarios.
ravimodi presents a hands-on walkthrough for integrating Azure Face API with C# and OpenCV, teaching facial landmark detection, head pose analysis, real-time video stream processing, and the implementation of geometric calculations in modern applications.
Lee_Stott demonstrates how to build a privacy-centric hybrid AI client briefing assistant using Microsoft Foundry Local and Azure OpenAI, offering step-by-step guidance for developers concerned with sensitive data and performance.
kinfey explains how to build a Kubernetes architecture for AI blog generation using dual sidecar containers: one for the GitHub Copilot SDK and another for skill management, offering actionable insights on modern DevOps and containerization strategies.
Julia Muiruri from Microsoft introduces the JavaScript AI Build-a-thon, a hands-on program for developers to gain practical experience building AI-powered apps using JavaScript, TypeScript, and Microsoft Foundry tools with expert support.
wanjing presents a hands-on walkthrough for Java developers deploying on Azure Functions (Linux), showing how to configure JVM truststores for self-signed certificates and discussing practical deployment and security considerations.
DeepGanguly explores how Azure Functions on Azure Container Apps offer a modern approach to building and running background workloads. The article demonstrates with real-world scenarios why event-driven Functions simplify development, reduce boilerplate, and boost operational efficiency.

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