Kubernetes:
- Why I Built SuperKind: The Opinionated Kind Wrapper Built for Convenience,
- Deploying a Fully Offline Kubernetes Cluster with Kubespray,
- k8s-1m Overview,
OpenShift:
- What’s New in OpenShift 4.20 – Key Updates and New Features (82min) / slides,
- Episode XXX: The Best Choice for AI Inference -> vLLM,
- Network performance in distributed training: Maximizing GPU utilization on OpenShift,
- Resolving Block Storage Mismatch Issues on Red Hat OpenShift Data Foundation (ODF),
- Reference Architecture: Red Hat OpenShift Container Platform on Lenovo ThinkSystem, ThinkEdge and ThinkAgile HX Servers v3.12,
- OpenShift Virtualization vs VMware: Can Kubernetes Really Replace Your Hypervisor?
- I am Learning Kubernetes? How do I get a Cluster?
- OpenShift: Creating a Pod, but Can’t Create a Deployment?
- OpenShift – Pod Security Standards, Security Context Constraints, Oh My!
- A case study in Kubelet regression in OpenShift,
- How to import provider network routes to OpenShift via BGP,
- Krkn-AI: A feedback-driven approach to chaos engineering,
- How to run I/O workloads on OpenShift Virtualization VMs,
- Modernize: Migrate from SUSE Rancher RKE1 to Red Hat OpenShift,
- From tokens to caches: How llm-d improves LLM observability in Red Hat OpenShift AI 3.0,
- Exposing OpenShift networks using BGP,
- The odo CLI is deprecated: What developers need to know,
- Enhancing AI inference security with confidential computing: A path to private data inference with proprietary LLMs,
- How to modify system-reserved parameters on OpenShift nodes,
- Unlocking telecommunication transformation with Red Hat OpenShift Service on AWS,
RHEL:
- Simplified patching with Red Hat Enterprise Linux and Red Hat Insights,
- Red Hat Brings Distributed AI Inference to Production AI Workloads with Red Hat AI 3,
- Profiling vLLM Inference Server with GPU acceleration on RHEL,
- CODECO: a deeper dive into the novel edge-cloud framework,
- Optimizing energy efficiency on Red Hat Enterprise Linux,
- AlmaLinux 10.1 Beta Now Available!
- Announcing Btrfs support in AlmaLinux OS 10.1,
- Overcoming the cost and complexity of AI inference at scale,
- Migration toolkit for applications 8: Bringing modernized applications to market faster,
- AI accelerator selection for inference: A stage-based framework,
- SDG Hub: Building synthetic data pipelines with modular blocks,
- Multimodal AI at the edge: Deploy vision language models with RamaLama,
Miscellaneous:
Upcoming Events (Local Time) 
Recent Comments