Audience: Cloud architects, platform engineers, engineering leaders The wrong first question Most teams building AI capabilities start with the wrong question. They ask which model to use. T...

1. The Core Mental Model: The Water Park Analogy To understand Copilot billing, think of your enterprise as a water park: The Shared Pool (Included Usage): Every Copilot Business ($19/mo) and E...

Introduction: The cheap-token trap Token prices alone are a poor economic model for agents. The price of reaching a fixed capability has fallen sharply — In a 2025 Report Stanford's AI Index report...

Why this matters Phased migrations to Azure frequently stall on a single, unglamorous constraint: an application with a hard-coded dependency address. The usual options are to re-address the applic...

Next week, join Microsoft for the Path to Production for Agents webinar series—a free, six-session technical training designed to help organizations move from AI experimentation to secure, scalable, ...

Artificial Intelligence is evolving at unprecedented speed. The challenge for enterprises is no longer building AI solutions—it is engineering AI platforms that can adapt, scale, and govern innovatio...

Enterprises are moving from AI experiments to AI in production. Copilots are in the flow of daily work, custom applications are built on foundation models, and autonomous agents are beginning to take...

The Bigger Picture Building an AI agent is fundamentally different from building traditional software. With a website or application, teams typically design, develop, test, and release. Once depl...

AZURE ARCHITECTURE BLOG · 8 MIN READ Author: Arturo Quiroga, Senior Partner Solutions Architect — Microsoft Two months ago I published From Prompt to Production: Building Azure Architecture Di...

Audience: Cloud architects, platform engineers, engineering leaders In my earlier Cloud Native Platforms articles, I focused on how teams build, run, and evolve modern engineering foundations. T...