
Volume 342, Issue 1 · 15 articles from 3 issues
Red Hat argues tool-call execution, not model reasoning, is where agentic AI systems quietly break in production. Read more
Red Hat and Brigham Young University describe a low-disruption path off legacy virtualization using OpenShift and automated node recovery. Read more
Red Hat opens early access registration for Satellite 6.20, which brings containerized deployment and post-quantum cryptography. Read more
Red Hat explains the design decisions behind Ask Red Hat, its conversational AI for support and documentation troubleshooting. Read more
Red Hat argues AI models headed for production need adversarial stress testing, not just model cards and benchmark scores. Read more
Red Hat offers five approaches for correlating and triaging high-volume security alerts when vulnerabilities are exploited within hours. Read more
Red Hat honors its Academy award winners across APAC for bridging education and industry skills demand. Read more
Red Hat launches Asago, an open-source framework automating governance for enterprise AI deployments. Read more
Red Hat built an agentic pipeline that enriches Jira tickets automatically, cutting triage time from hours to minutes. Read more
Red Hat applies automated recovery at the edge to the manufacturing problem of unplanned downtime. Read more
A Red Hat intern describes moving from minimal Linux experience to operational confidence through hands-on training. Read more
Red Hat covers who operates each AI architecture layer, where workloads run, and Day 2 operational considerations. Read more
Red Hat sets out options for running SQL, NoSQL, vector and in-memory database workloads on OpenShift. Read more
Red Hat covers OTel 2.0, the telecom-focused open model that has passed 5 million downloads since release. Read more
Red Hat's weekly roundup covers Hardened Images in AWS Inspector and the Ansible automation orchestrator GA. Read more