
Streamline workflows with DevOps solutions from GitHub and Azure
The joint solution of GitHub and Azure, combined with the power of Visual Studio, can create order for previously staggered workflows and delayed deployments.
Explore the core principles and methodologies that drive success on Azure with our curated Best Practices content. It’s the blueprint for building and maintaining solutions that are not only robust and secure but also efficient and forward-thinking.Â
The joint solution of GitHub and Azure, combined with the power of Visual Studio, can create order for previously staggered workflows and delayed deployments.
As part of our Fabric Community Hub—a virtual hangout for Fabric users to connect with community members, ask questions, and learn—we’ve developed the Fabric Career Hub.
In our LLMOps blog series, we’ve explored various dimensions of Large Language Models (LLMs) and their responsible use in AI operations. Elevating our discussion, we now introduce the LLMOps maturity model, a vital compass for business leaders.
As organizations prepare for peak events and unforeseen challenges, performance testing stands as a beacon, guiding them toward reliable, high-performance systems that can weather the storm of user demands.
Copilot—powered by Microsoft Azure OpenAI Service—allows you to simplify how you design, operate, optimize, and troubleshoot apps and infrastructure from cloud to edge.
We’re dedicated to documenting and sharing our learnings and best practices with the developer community so they can make responsible AI implementation practical for their organizations.
The enterprise development process requires collaboration, diligent evaluation, risk management, and scaled deployment. By providing a robust suite of capabilities supporting these challenges, Azure AI affords a clear and efficient path to generating value in your products for your customers.
Azure App Service provides native security integration with Microsoft Defender for Cloud to help protect multicloud and hybrid environments with comprehensive security across the full lifecycle, from development to runtime.
The goal is to use generative AI as a tool in your broader decision-making and brainstorming process. Combining AI’s suggestions with your expertise and knowledge of your business and market will yield the best results.
Today, we’re happy to announce the updated guidance around sustainability in the Cloud Adoption Framework (CAF), helping executives, IT decision- makers, platform managers, IT operations, and other relevant roles with their sustainability journeys.
Generative AI has become a critical tool for businesses seeking to streamline tasks and enhance productivity. Today, generative AI can generate everything from written content and music to product designs and programming code, paving the way for unprecedented levels of automation.
In partnership with several manufacturing companies, Microsoft aims to enable seamless connectivity, data analysis, and AI-driven insights across the production process. By leveraging Azure’s capabilities, manufacturers can optimize production operations, improve equipment maintenance, and enhance product quality.