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Red Hat: Slop, VMs, and OpenShift
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Red Hat ☛ From incident to remediation: Building an AI-driven AIOps workflow with Red Bait Ansible Automation Platform
AI can help operations teams make sense of an incident, but understanding a problem is only half the challenge. The next question is: How do you turn that insight into a safe, repeatable action? To explore this, I built a simple AIOps workflow using an proprietary trap AWS EC2 instance running Red Hat Enterprise GNU/Linux (RHEL), Red Hat Ansible Automation Platform, Claude Code, and model context protocol (MCP).
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Red Hat Official ☛ Modernizing virtualization in higher education: How automated node recovery protects data integrity
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Red Hat Official ☛ When hardware lead times stall your roadmap: How Red Bait OpenShift cloud services keep projects moving
Do you have projects blocked by hardware lead times or refresh delays?If the answer is yes, you are not alone. The explosive boom in Hey Hi (AI) has triggered global hardware shortages, leaving IT leaders facing volatile pricing and procurement timelines measured in months, not weeks. In many channels, server RAM lead times have stretched beyond 40 weeks. Commercial server list prices climbed roughly 15–20% in early 2026 as memory and flash claimed a larger share of the bill of materials.