Red Hat is striving to show that an American company can provide trustworthy data management to its non-US customers.Read More
May 15, 2026
by sjvn01
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May 14, 2026
by sjvn01
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The third major Linux kernel flaw in two weeks has been found – thanks to AI
AI is exposing Linux security holes faster than developers can patch them. Fragnesia is the latest. Here’s what we know about it.Read More
May 13, 2026
by sjvn01
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Red Hat’s skill packs give AI agents something a bigger model never could: 20 years of institutional memory
Red Hat launches an agentic skills repository at Red Hat Summit, turning RHEL, OpenShift, and Ansible into governed AI agent platforms for enterprise infrastructure.Read More
May 13, 2026
by sjvn01
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Red Hat Desktop vs. Fedora Hummingbird: Which AI development Linux path is right for you?
Red Hat Desktop is for secure, production-style AI development, while Fedora Hummingbird is for AI agent experimentation.Read More
May 13, 2026
by sjvn01
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Cloud native application challenges: installing the walking skeleton
Learn how to get started with templating engines and package managers to simplify deployment and configuration at scale.Read More
May 12, 2026
by sjvn01
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Red Hat is betting on AgentOps to close the gap between AI experiments and production
At its Red Hat Summit on Tuesday in Atlanta, Red Hat announced Red Hat AI 3.4, featuring Model-as-a-Service, AgentOps, and a metal-to-agent infrastructure for hybrid cloud, targeting production-grade AI deployments at enterprise scale.Read More