Co-written by Nikoloz Buligini, Front End Developer at Templafy, and Jan Kalis, Azure Container Apps Sandboxes, Core AI, Microsoft Every team building with multi-tenant AI agent platforms hits the ...

We recently introduced a simpler way to deploy applications to Azure App Service for Linux by uploading a ZIP package through Kudu. The experience lets you review the package contents, choose whether...

Enhanced Dashboarding and Visualization Experience Grafana 13 introduces a number of improvements that make dashboards easier to build, reuse, and manage at scale. Teams can create richer observabi...

How to design, build, and grow an agentic operations practice — and what becomes possible once you do. A note on scope: the patterns in this guide apply to any agentic operations platform. The sp...

Azure Functions Agents - the markdown-first runtime that turns a folder of *.agent.md files into a serverless Azure Functions app - now ships with OpenTelemetry tracing built into the runtime itself....

Why Markdown for Agents? Web pages often contain scripts, styles, and HTML markup that are useful to browsers but add noise when the content is sent to an AI model. Markdown for Agents removes that...

Azure Container Apps Jobs are a good fit for batch processing, ETL, machine learning, reports, and other tasks that run to completion. But when those tasks have dependencies, retries, or fan-out, you...

If MCP is becoming the “USB-C for AI,” enterprises need something equally familiar on the other side of that port: a control plane. The Model Context Protocol (MCP) gives AI applications a standard w...