news
Red Hat: Openwashing, Fake Endorsements, Kubernetes, and Slop (Lots and Lots of Slop Promotion
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Open Source Initiative ☛ OSI brings the State of the Source to All Things Open 2026 [Ed: IBM and GAFAM outlet, now with some openwashing dish on the side; This post is composed by a Microsoft operative, Nick Vidal , so OSI remains deeply compromised by proprietary software interests]
The OSI is coming to All Things Open with a track designed to connect developers with the big policy conversations shaping our ecosystem.
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Red Hat Official ☛ Red Hat Positioned as a Leader in the 2026 Gartner® Magic Quadrant™ for Container Management [Ed: Paid-for marketing disguised as "research"]
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Red Hat Official ☛ Insights-client updates standardize RHEL package management
Starting with RHEL 9.8 and RHEL 10.2, Red Hat is changing how insights-core, one of the components of insights-client, delivers its updates. The change gives system administrators more control and predictability, with a delivery mechanism they already know and trust.
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Red Hat Official ☛ Closing the loop: From network policy intent to verified reality
Kubernetes NetworkPolicies are one of the most powerful—and most misunderstood—security primitives available to platform engineers. They declare intent: "This pod should only accept connections on port 8443 from the ingress namespace." But declaring intent is not the same as verifying that it works as intended.
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Kubernetes Blog ☛ Kubernetes v1.37: Scheduler Preemption for In-Place Pod Resize (Alpha)
To bridge this scheduling gap, Kubernetes v1.37 introduces scheduler preemption for in-place Pod resize (Alpha), behind the InPlacePodVerticalScalingSchedulerPreemption feature gate. This feature allows the Kubernetes scheduler to actively free up capacity on a fully-utilized node by preempting lower-priority workloads, enabling the pending in-place resizes of critical, higher-priority applications to succeed.
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Techstrong Group Inc ☛ Kubernetes Did Not Miss the Hey Hi (AI) Wave. It Absorbed It [Ed: Stupid slop and hype]
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Red Hat Official ☛ Red Hat Puts Safety and Observability at the Core of Enterprise AI with Red Hat AI 3.5 [Ed: Slop all the way]
Red Hat, the world’s leading provider of open source solutions, today announced significant updates across the Red Hat AI portfolio with the release of Red Hat AI 3.5. As enterprise teams move past early experimentation and pilot successes, IT and platform engineering leaders face the challenge of running AI with the same operational rigor as mission-critical infrastructure. By providing the scalable foundation required to control, secure and observe these workloads across the hybrid cloud, Red Hat AI 3.5 bridges the gap between isolated AI pilots and a fully governed enterprise architecture.
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Red Hat ☛ From token consumer to token provider: Building your org's Hey Hi (AI) API [Ed: Slop, slop, slop... all that Red Hat is promoting under IBM]
One of the biggest problems with Hey Hi (AI) right now is that it's expensive. If you've been anywhere near an enterprise IT budget in the last 2 years, then you already know that. Most companies that wanted to get Hey Hi (AI) into their workflows did the same thing: They signed up for a business account with an Hey Hi (AI) provider, handed out API keys, and started building. It made sense at the time because the models were good, the Hey Hi (AI) were simple, and the alternative was standing up your own inference infrastructure, which nobody had bandwidth for.
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Red Hat Official ☛ Build a compliance assistant with AutoRAG and Red Hat OpenShift AI [Ed: Red Hat pushing slop with more buzzwords and brands]
Retrieval-augmented generation (RAG) is the right tool for that job. When a question is asked, instead of answering from memory, the model looks the answer up in your documents and includes a citation.
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CIQ ships RLC Pro AI on the newest long-term Linux kernel and converts accelerator capability into production throughput [Ed: More slop hype from RHEL cloner]
As organizations across every industry move GPU-accelerated workloads into production, most of those workloads now run in containers. Containers make a workload portable, but they do not control the layer underneath it. The operating system still decides how much of the accelerator capacity an enterprise paid for reaches the workload.