All things Azure
Developer focused how-tos, use cases and solutions on Microsoft Azure
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Tutorial Videos: Setting up GitHub Copilot for your Company
This guide shares a series of videos that walk you through setting up GitHub and GitHub Copilot end-to-end for your company. These are especially useful for org...
Automating Secure and Scalable AI Deployments on Azure with HashiCorp
While the promise of AI continues to generate momentum, many organizations face a familiar challenge: getting AI projects beyond the prototype phase. According ...
Codex Azure OpenAI Integration: Fast & Secure Code Development
Introduction You can now enjoy the same Codex experience in CLI or VS Code with Azure OpenAI support. We've contributed the following five pull requests to mak...
How to develop AI Apps and Agents in Azure – A Visual Guide
As organizations explore new AI-powered experiences and automated workflows, there's a growing need to move beyond experiments and proofs-of-concept to producti...
Latest posts
Develop Faster with VS Code for the Web – Azure: Your Browser-Based Dev Environment
Developers can now move from idea to Azure-ready code in minutes with VS Code for the Web – Azure. This browser-based environment removes setup time, reduces friction, and gives you immediate access to pre-configured runtimes, GitHub tools, and Azure integrations. As a result, you can start building, editing, and deploying the moment inspiration strikes. For more info, view our VS Code Docs. Build in the Browser with a Ready-to-Use Azure Environment VS Code for the Web – Azure opens directly in your browser, and it loads a workspace that includes Node.js, Python, Java, C#, Git support, and the Azure Develop...
Azure DevOps to GitHub migration Playbook: Unlocking Agentic DevOps
Azure DevOps or GitHub Enterprise ? Today, in the Microsoft ecosystem, two Software Development Lifecycle management platforms coexist: - Azure DevOps is designed from the ground up for enterprise with advanced planning features through Azure Boards, build and release automation with Azure Pipelines, and a unique offering for quality teams with Azure Test Plans... - GitHub has evolved with the open-source ecosystem, and its operation is naturally more centered around code repositories, visible by default, and the system of proactive contributions through Forks and Pull Requests. The platform has evolved to...
Powering Distributed AI/ML at Scale with Azure and Anyscale
The path from prototype to production for AI/ML workloads is rarely straightforward. As data pipelines expand and model complexity grows, teams can find themselves spending more time orchestrating distributed compute than building the intelligence that powers their products. Scaling from a laptop experiment to a production-grade workload still feels like reinventing the wheel. What if scaling AI workloads felt as natural as writing in Python itself? That’s the idea behind Ray, the open-source distributed computing framework born at UC Berkeley’s RISELab, and now, it’s coming to Azure in a whole new way. Today,...
Multi-region Expansion for Azure Deployments
Why Financial Services Organizations Should Consider Expanding to Other Azure Regions for New Workloads As a Cloud Architect, I work closely with financial services organizations to help them unlock the full potential of Azure innovations. One of the most impactful strategies I recommend is adopting a multi-region approach for Azure deployments. While many customers have historically concentrated workloads in a single region—often for simplicity or legacy reasons – the landscape is rapidly changing. Here’s why expanding to other Azure regions for new workloads is not just a technical consideration. It is a strat...
Your 6-Step Guide to Deploying a Website with GitHub Codespaces and Copilot agent mode
👋everyone! Shree here. I'm sure many of you have had a similar chat with someone you know. We often hesitate to celebrate our achievements because of social perceptions around self-promotion. I believe it’s time to challenge that mindset. Building a personal site is about owning your narrative and showcasing your work with pride. In this post, I’ll show you how to launch your very first personal site (or, a portfolio piece) using GitHub Pages, a simple way to host a static website directly from GitHub. You’ll learn how to create a remote repository, store your site’s code, and deploy it to the web. Plus...
From Lab to Live: A Blueprint for a Voice-Powered AI Sales Coach
Until recently, building real-time voice AI for production was challenging. Developers faced hurdles such as managing audio streams and ensuring low-latency performance. That landscape is changing. The general availability of the Azure Voice Live API marks a turning point, providing a unified abstraction layer that simplifies the development of real-time voice and avatar experiences. This shift inspired me to build a reference implementation called the AI Sales Coach to demonstrate how these new capabilities can be applied to solve a practical business challenge: skill development. A Practical Appli...
Teaching the LLM Good Habits: How Azure MCP Uses Best-Practice Tools
Why best practices matter (and why many people skip them) Let’s be honest: when you’re in the zone shipping code or wiring up infrastructure, “best practices” can feel like that nagging voice telling you to eat your vegetables. We all know they’re good for us… but in the rush to get things working, they’re often the first thing to fall off the plate. The result? Configurations that work today but explode tomorrow. Pipelines that deploy - until they don’t. Costs that spiral out of control. And sometimes, security gaps big enough to drive a container ship through. That’s why the Azure team invests so heavi...
Build your own Microsoft Docs AI assistant with Azure Container Apps and Azure OpenAI
Learn how to deploy a self-hosted AI assistant that leverages Microsoft Learn content via the Model Context Protocol (MCP) and Azure OpenAI. It’s fast, secure, and ready for developer use in real-world apps. Prerequisite This guide assumes you already have an Azure OpenAI resource provisioned in your subscription, with a deployed model (e.g., gpt-4, gpt-4.1, or gpt-35-turbo). If not, follow the Azure OpenAI Quickstart before proceeding. The goal Imagine being able to ask Microsoft Learn, "How do I monitor AKS workloads?" or "What are best practices for Azure Bicep deployments?" and instantly get a precise, ...
Azure Container Options: Matching Services to Operational Responsibility
Customers are looking to modernize their application on cloud and ask us for guidance on which Azure container services to choose. Should you choose A or B container services or A+B container services? Some choose both (A + B) or use A or B approach. Instead of trying to force fit applications on a container service(s), in this blog post, we show you how to think modular and choose the container service(s) that best meets your application needs and operational responsibility. In other words, you choose the right tool for the right job. In fact, many organizations are gradually transitioning from an A or B min...