Latest technical articles & videos.

Kubernetes:

• Stop wasting GPU allocation in Kubernetes with GPU-pruner,
• Validate with Cluster Readiness Engine,

OpenShift:

• AI-powered multicluster management: Querying fleet health with OpenShift Lightspeed and Red Hat Advanced Cluster Management,
• Red Hat OpenShift autoscaling using MachineSet autoscaler with KEDA,
• Developing LLM guardrail configs locally with NeMo Guardrails,
• Orchestrate production RAG with OpenShift AI,
• Automate AI red teaming: Large language model risk identification and mitigation,
• LoRA backdoor threat: How OpenShift AI mitigates the risk,
• Extend Layer 2 networks into Red Hat OpenShift Virtualization with BGP and EVPN,
• Evaluate AI agents with IBM CLEAR & EvalHub on OpenShift AI,
• Configure admission fair sharing in Red Hat build of Kueue 1.4,
• Reference architecture for HA scanning with Red Hat Advanced Cluster Security for Kubernetes,
• ROSA HCP with Terraform: From Zero to a Running Cluster,
• Model training on AWS with Trainium and Inferentia chips with OpenShift AI,
• Red Hat Cert-Manager with Custom CA,
• Red Hat Cert Manager: Certificates with Let’s Encrypt,
• Application SLOs and Multi-Burn-Rate Alerting on OpenShift HCP,
• Introducing the external secrets management console plug-in,
• NVIDIA BlueField security and acceleration arrive on the Red Hat AI Factory with NVIDIA and Red Hat OpenShift,
• Personalize your product’s text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI,
• Beyond container boundaries: Kernel-level agent security in Red Hat OpenShift AI 3.5,
• Deploy NeMo Guardrails on Red Hat OpenShift AI,

Containers:

• Rootless Podman: Preserving Source IPs,
• Podman: from Docker networks to pods, kube play, and going rootless,
• Use a local and open source code assistant,

RHEL:

• Why the virtualization decision keeps getting deferred,
• Red Hat Satellite 6.20 limited availability: Early access registration now open,
• Build AI-assisted firewall workflows with Ansible Automation Platform,
• When hardware lead times stall your roadmap: How Red Hat OpenShift cloud services keep projects moving,
• From incident to remediation: Building an AI-driven AIOps workflow with Red Hat Ansible Automation Platform,
• Red Hat Developer Hub software template authoring with rhdh-templates,
• AlmaLinux 10.3 Beta Now Available!
• Better together: RHEL system roles and Red Hat Ansible Automation Platform,
• Red Hat named a Leader in the 2026 Gartner® Magic Quadrant™ for Container Management for the fourth consecutive year,
• Red Hat AI 3.5: Scaling and governing AI agents in production,
• Accelerating post-quantum security migration with Red Hat Certificate System,
• Rafay and Red Hat publish joint reference architecture for sovereign AI cloud as a service,

Miscellaneous:

• LLM quantization guide: How to do it, and how it helps,
• Evaluating LLM guardrail configs locally with EvalHub,
• Speeding up LLM inference with P-EAGLE in vLLM Speculators,
• BTRFS boot failure and easy GUI methods for system recovery,
• Understanding W8A8 INT8 LLM quantization: Half the size, better performance, same accuracy,
• Why faster coding isn’t making delivery any faster,
• Framework Laptop 12 Arrives with Fedora Pre-installed,
• Optimize vLLM speculative decoding with FastMTP heads,
• The context wall: What happens when your AI agent hits the GPU memory ceiling.