A technical preview promises to take on the unrewarding work in DevOps, but questions remain about controls over costs and access.

The hyperscalers were quick to support AI agents and the Model Context Protocol. Use these official MCP servers from the major cloud providers to automate your cloud operations.

AI risk emerges from live systems and processes, not abstract policies or model behavior.

Google’s DORA first report on AI coding maturity provides a valuable starting point and a bevy of helpful metrics. It also ...

AI-generated images now headline billboards, fill product catalogues, and slip into everyday slide decks—a leap from party ...

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

AI tools are transforming job roles for professionals in their 30s and 40s. Adapting with AI literacy and practical courses can safeguard careers amid automation.

The ability to connect to both cloud and on-premises versions of Azure DevOps is a significant advantage. It means the server can be a consistent part of your AI-DevOps workflow, regardless of where ...

It's a powerful companion utility for my Paperless-ngx container ...

Are Non-Human Identities the Key to Unlocking Agentic AI in Data Protection? Organizations across industries are increasingly focusing on the management of Non-Human Identities (NHIs). These machine ...

Google has overhauled Firestore’s query engine, introducing "Pipeline operations" that enable complex server-side aggregations and array unnesting. The update shifts Firestore Enterprise toward an ...