Showing archive results for November 2025

Nov 27, 2025
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Visualizing GitHub Audit Log in Microsoft Defender

Xuefeng Yin sombanerjee
Xuefeng,
sombanerjee

Key Observability Trends Around GitHub Security Modern enterprises are increasingly adopting DevSecOps practices, integrating security into every phase of the development lifecycle. Key observability trends include: Challenges in Displaying All Security in One Dashboard Despite GitHub’s robust security features, customers...

All things AzuregithubDefender
Nov 20, 2025
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Develop Faster with VS Code for the Web – Azure: Your Browser-Based Dev Environment

Meera Haridasa
Meera Haridasa

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 st...

All things Azure
Nov 20, 2025
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Azure DevOps to GitHub migration Playbook: Unlocking Agentic DevOps

Philippe Didiergeorges
Philippe Didiergeorges

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...

All things AzureDeveloper Productivitygithub
Nov 14, 2025
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Tutorial Videos: Setting up GitHub Copilot for your Company

Eldrick Wega
Eldrick Wega

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 organizations starting from scratch who want to leverage GitHub Copilot and are looking to get started. These videos were recorded as of October 2025. This article is intentionally brief—j...

Developer ProductivityAll things AzureGitHub Copilot
Nov 4, 2025
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Powering Distributed AI/ML at Scale with Azure and Anyscale

Brendan Burns
Brendan Burns

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 feel...

All things AzureAI AppsContainers