Red Hat: Paid-for SPAM (Disguised as Recommendations and Journalism), US Army, Slop Plagiarism, and More

posted by Roy Schestowitz on Aug 07, 2026

• Red Hat Official ☛ Red Hat Positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Cloud-Native Application Platforms [Ed: Paid-for spam from fake, compromised non-experts]

• Silicon Angle ☛ Red Hat leads open-source project to automate AI governance [Ed: Paid-for Red Hat spam, paid by Red Hat to sell Red Hat]

• Red Hat Official ☛ IBM and Red Hat Offer Lightwell at No Charge to Universities, NGOs and Think Tanks [Ed: Vendor lock-in is not a gift]

Inside Operation Jailbreak: Red Hat’s participation in the US Army’s open integration sprint [Ed: IBM Red Hat boasts about imperialism, just like GAFAM]

This ambitious effort was created to address the urgent and growing need for US and allied forces to communicate with greater ease, share information at speed, and give leaders the comprehensive battlefield visibility required for decision advantage. The "right to integrate" hackathon made clear that open collaboration is essential to keeping pace with today's operational demands, and that open, documented interfaces are the path forward. 

• Red Hat Official ☛ Why IT security’s future is more than just AI models [Ed: IBM says the future is slop, then tries to upsell]

  An AI agent isn't just a model but rather a complete software stack. Securing this system requires analyzing the core model, the agentic harness, sandboxing techniques, runtime guardrails, data controls, and a host of other underlying infrastructure layers. Crucially, three of those four components—harnesses, sandboxes, and traditional application layers—are fundamentally rooted in software engineering, not the model.

• Red Hat Official ☛ The CPU is back: Rethinking the CPU-GPU split for LLM inference [Ed: Slop, slop, and more slop. IBM Red Hat knows nothing else anymore.]

  Here we'll examine why the assumptions making GPUs the obvious choice for LLM inference are being renegotiated, what's driving renewed demand for CPU-based serving, and what the data says about where the industry is heading.

• Building skills for AI agents: pitfalls and best practices for skill development [Ed: Pushing slop as a skill, not Linux]

• Red Hat Official ☛ Curing alert fatigue: How embedded AI is redefining Red Hat OpenShift cluster troubleshooting [Ed: IBM Red Hat pushing slop.]

  Something has to change. It's time to move away from fragmented tools and toward natural language and visualizations where the platform actually shows you the issues and helps you get the work done. If you're running modern enterprise workloads, then you're sitting on a goldmine of operational data — you just can't get to it easily. That's why we are expanding the cluster management capabilities of Red Hat OpenShift Lightspeed by combining it with new companion platform tools, such as the cluster observability operator.

• Red Hat ☛ The Hey Hi (AI) layer of observability: Making telemetry human-readable [Ed: Boasting of slop]

  The observability industry faces a cost paradox and an architectural inflection point.

  Organizations are investing more than ever in observability. The market is projected to reach $34.1 billion in 2026, with 75% of teams planning budget increases.

• Red Hat Official ☛ The migration catalyst: turning virtualization disruption into application innovation

  I find that many enterprise IT leaders are facing a decision that impacts both their business health and bottom-line efficiency. While tactical migration addresses immediate overhead concerns, looking past simple “lift and shift” approaches reveals a compelling path toward platform and long-term cloud-native application modernization. The key point I try to get across when meeting with IT leaders is this: you aren’t just making a decision based purely on the cost of your virtualization infrastructure; you need a platform that can support your organization well beyond this migration and support future-ready pathways ready for innovation.