Kubernetes:
- Backing Up and Restoring etcd in a Kubernetes Cluster: A Practical Guide,
- Rethinking the Kubernetes pod-and-node relationship for AI workloads,
OpenShift:
- Optimizing GPU ROI: Inference by day, training by night,
- Scalable and cost-effective fine-tuning for LLMs,
- User defined networks in Red Hat OpenShift Virtualization,
- How to fine-tune LLMs with Kubeflow Training Operator,
- How to run MicroShift with OpenShift Local and Podman Desktop,
- The new Multi-Cluster Alerting UI: A developer preview,
- Who watches the watchers?
- New: Local development with JetBrains IDEs in OpenShift Dev Spaces,
- VM migration from VMware vSphere to Openshift Virtualization,
- Logging OpenShift Incoming Traffic on Elasticsearch,
- OpenShift 4.x Routers…,
- Red Hat Advanced Cluster Management 2.13 expands hybrid cloud management capabilities,
- Deploying MicroShift on CentOS Stream 9 Using Bootable Containers (bootc),
- NVIDIA GPU Direct Storage on OpenShift,
- Change Ipaddress of OpenShift Control Node,
- Red Hat OpenStack Services on OpenShift at the edge with Ceph,
- Supercharge Your AI with OpenShift AI and Redis: Unleash speed and scalability,
- AWS style virtual-host buckets for Rook Ceph on OpenShift,
- How to set up OpenShift confidential clusters on Azure,
- How to connect VMs to user-defined networks in OpenShift,
Containers:
- How to run TRELLIS on RHEL with Podman,
- Docker Multi-Stage Build: Optimize Containers for Speed and Security,
- Kubernetes and Zero Trust: Enhancing Security with CNCF Confidential Containers,
Service Mesh:
RHEL:
- Managing Ansible Automation Platform workflow job templates at scale,
- New updates to Konveyor AI: Use AI-driven application modernization without fine-tuning a model,
- New! Self-Managed Red Hat Ansible Automation Platform on Microsoft Azure,
- ELevate Testing now ready for AlmaLinux 10!
- How to use RHEL Image Mode on AWS,
- When bots commit: AI-generated code in open source projects,
Miscellaneous:
- Alignment tuning and RAG: What you should know,
- Provisioning a Fedora/RHEL VM with Terraform, Libvirt & Cloud-Init,
- Creating a bootable Windows 11 USB flash drive in Linux,
- Enhancing Your Python Workflow with UV on Fedora,
- Meet vLLM: For faster, more efficient LLM inference and serving,
- When bots commit: AI-generated code in open source projects,
- Enable 3.5 times faster vision language models with quantization,
- Announcing Rust 1.86.0,
- Why Productising Your Platform Is Critical for Engineering Success,
- A practical guide to Llama Stack for Node.js developers,
- How to navigate LLM model names,
- Simplify AI data integration with RamaLama and RAG,
- Llama 4 herd is here with Day 0 inference support in vLLM,
- How to build AI-ready applications with Quarkus.
Upcoming Events (Local Time) 
Recent Comments