Earlier this year, we introduced the Durable Task Scheduler, our orchestration engine designed for complex workflows and intelligent agents. It automatically checkpoints progress and protects your or...

Overview This article explains the process of exposing legacy APIs, which are hosted on Azure Container Apps, to AI Agents, as Model Context Protocol (MCP) servers by utilizing Azure API Management...

As modern apps shift more logic to the browser, Azure App Configuration now brings dynamic configuration directly to client-side applications. Through its integration with Azure Front Door, developer...

Feature flags have become an essential tool for modern software development, enabling teams to deploy code safely, control feature rollouts, and experiment with new functionality without the risk of ...

Agents have exploded in popularity over the last year, reshaping not only the kinds of applications developers build but also the underlying architectures required to run them. As agentic application...

  What’s new? Today, we're announcing Kubernetes troubleshooting agent capabilities in Azure Copilot, offering an intuitive, guided agentic experience that helps users detect, triage, and resolve...

Model Context Protocol (MCP) servers allow AI agents to access external tools, data, and systems, greatly extending the capability and power of agents. When you’re ready to expose your MCP servers ex...

Empowering intelligent applications  The next wave of AI is agentic – systems that can reason, plan, and act on our behalf. Whether you’re building a virtual assistant that books travel or a multi‑...

Have you ever attempted to deploy or scale out an App Service Plan and received a 429 response that “Not enough available reserved instance servers to satisfy this request. Currently n instances are ...