Updates aim to improve data collection flexibility, transformation and cost control across monitoring workflows.

Ready-to-use configurations for Anthropic's Claude Code. A comprehensive collection of AI agents, custom commands, settings, hooks, external integrations (MCPs), and project templates to enhance your ...

Flexagon unifies DevOps automation and configuration management to deliver native, end‑to‑end control for enterprise applications. By bringing DevOps and Application Configuration Management together, ...

Conclusions: SMARTCLOTH offers a novel and effective technological tool to support dietary management in diabetes, enhancing user engagement through a human-centred approach. Future research will ...

The Azure DevOps Wiki MCP Server enables AI applications to interact with Azure DevOps wikis through the Model Context Protocol. It provides comprehensive wiki operations including content search, ...

Microsoft announced new strategic partnerships with Nvidia and the AI startup Anthropic. Microsoft will invest up to $5 billion into Anthropic, while Nvidia will invest up to $10 billion into the ...

Across every industry, software companies are racing to embed AI into their products, but few have managed to do it responsibly at scale. The faster organizations move, the greater the risk of ...

This week we have introduced a wave of purpose-built datacenters and infrastructure investments we are making around the world to support the global adoption of cutting-edge AI workloads and cloud ...

Microsoft has announced a major change to how Azure Files can be managed, thanks to a file share-centric model that eliminates the dependency on storage accounts. The preview, available starting today ...

Microsoft has announced a public preview of its new App Service quota self-service experience. Available in the Azure portal, the update is designed to give developers and IT admins more visibility, ...

ABSTRACT: Introduction: DevOps maturity models help organizations benchmark their engineering capabilities, yet the empirical grounding of most models remains fragmented in scholarly literature.