Best practices

Microsoft Azure Chaos Studio solution helps you measure, understand, improve, and maintain the resilience of your application through hypothesis-driven chaos experiments.

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.