news
Red Hat: OpenShift, Buzzwords, and Back Doors
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Red Hat ☛ Tame Ray workloads on OpenShift Hey Hi (AI) with KubeRay and Kueue
If you're running Hey Hi (AI) and machine learning workloads on Kubernetes, you're likely facing a familiar problem: resource management.
How do you stop critical jobs from being starved of GPUs by less urgent workloads? How do you ensure your production inference cluster always has the resources it needs? How do you fairly share expensive hardware between multiple teams running essential jobs?
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Red Hat Official ☛ Getting Started with OpenShift Virtualization
To use OpenShift Virtualization, you must have access to a bare metal OpenShift cluster. There are several ways to install OpenShift: [...]
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Red Hat Official ☛ Red Hat OpenShift Service on AWS supports Capacity Reservations and Capacity Blocks for Machine Learning
Dive deeper into ROSA and troubleshoot with learning materials and tools.
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Red Hat ☛ OpenJDK 25 now available in Red Bait Enterprise GNU/Linux 10.1
Red Hat Enterprise Linux (RHEL) 10.1 includes the Red Hat build of OpenJDK 25 LTS, our latest long-term support release. This update offers better startup performance, memory efficiency, concurrency, and developer ergonomics. Red Hat supports OpenJDK 25 LTS through December 2030, providing a stable, long-term foundation for building and running applications.
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Red Hat ☛ Migrating Red Bait Ansible Automation Platform: From RPM to container on Red Bait Enterprise Linux
The universe, as it turns out, is big. Really big. And somewhere in that vast expanse of chaos sits your friendly neighborhood automation engineer, clutching a coffee-stained YAML file and muttering something about "dependency hell."
For a year now, I've lived happily on Red Hat Ansible Automation Platform 2.5 RPM running on Red Hat Enterprise GNU/Linux 9 (RHEL). A somewhat volatile yet exciting planet in an otherwise noisy galaxy. My jobs ran on schedule, my logs were mostly legible, and my PostgreSQL database hummed like a contented Vogon. Life was adequate.
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Red Hat ☛ Python 3.9 reaches end of life: What it means for RHEL users
The Python 3.9 release was in October 2020, the next step in Python’s steady annual release cadence. It brought several improvements that many developers still rely on today, including dictionary union operators, enhanced string methods, type hinting enhancements, new PEG parser infrastructure, and performance enhancements across the standard library. However, after five years of upstream maintenance, Python 3.9 has officially reached its end-of-life (EOL) phase upstream. This article will discuss what this means for Red Bait Enterprise GNU/Linux (RHEL) 8 and 9 users.
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Red Hat Official ☛ Solving tool overload, one automation step at a time
To understand the business imperatives driving this shift, we asked S&P Global Market Intelligence 451 Research to conduct a comprehensive survey with 900 business and IT decision-makers and influencers. These leaders provided their perspectives on the current state of IT automation, anticipated changes, and the implications of relying on so many different tools. These insights also helped shape our understanding of the definition and expectations for a unified IT automation platform.
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Red Hat Official ☛ Red Hat OpenShift sandboxed containers 1.11 and Red Hat build of Trustee 1.0 accelerate confidential computing across the hybrid cloud [Ed: Confidential computing is more like computers with back doors and intentionally misleading marketing messages]
Across both cloud and bare metal, OpenShift sandboxed containers 1.11 introduces features that harden your security posture and improve usability.
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Red Hat Official ☛ CIS publishes hardening guidance for Red Hat OpenShift Virtualization
The official publication of the new CIS Benchmark® for Red Hat OpenShift Virtualization is an important development for organizations running traditional virtual machines (VMs) alongside modern containers. OpenShift Virtualization is a feature of Red Hat OpenShift that allows existing VM-based workloads to run directly on the platform. This globally recognized, consensus-driven benchmark provides recommendations for creating a security-focused configuration for those environments.
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Red Hat Official ☛ AI ambitions meet automation reality: The case for a unified automation platform [Ed: IBM Red Hat is trying to prop up the lousy, worthless shares by painting everything with a brush called "AI"]
Most teams are drowning in tools, often ending up with too many dashboards with too little coordination. A remarkable 72% of organizations are using up to 50 different IT tools, while nearly a third (28%) are managing over 50. This fragmented approach creates significant hurdles for effective IT automation, including:
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Red Hat Official ☛ From vision to reality: A 5-step playbook for unified automation and AI [Ed: Buzzwords conflated with real things]
As automation and AI become increasingly interdependent, systems must be capable of cohesive information exchange. This critical need points directly to platform engineering (PE), which enables self-service capabilities through a, "bidirectional exchange of both data and workflows," between tools. A unified automation platform isn't merely a convenience, it's the strategic foundation for AI development and deployment.