Latest technical articles & videos.

OpenShift:

• Sharding etcd on hosted control planes and what the numbers actually say,
• Red Hat AI Inference 3.5 MaaS governance on AKS,
• Configure Red Hat OpenShift Dev Spaces for enterprise security,
• Top 5 operators for Red Hat OpenShift,
• Red Hat OpenShift Virtualization memory management overview,
• Scale OpenShift Dev Spaces in air-gapped environments,
• Model Context Protocol gateway for Red Hat OpenShift is now generally available,
• 5-minute demo: DevSecOps with Red Hat OpenShift to speed up application delivery,
• Speeding up ticket resolution with agentic AI,
• MLOps for edge AI: Managing AI models across distributed fleets,
• Shared GPUs without shared latency: Priority-aware serving in Red Hat AI,
• Securing AI agents in the enterprise AI factory: NVIDIA BlueField and DOCA Argus on Red Hat OpenShift,
• Red Hat OpenShift Virtualization achieves NVIDIA-Certified Hypervisor status,
• Scaling multi-agent systems with hierarchical orchestration,
• High availability for everyone with multi-site Red Hat build of Keycloak on Red Hat OpenShift,
• Building Kubernetes resilience with Krkn: A 4-phase chaos engineering blueprint,
• Agentic partners integration: AI support agents for Microsoft Azure Red Hat OpenShift,
• Simplifying TLS certificate management on Red Hat OpenShift with NEC,
• From buzzword to blueprint: Implementing zero trust on Red Hat OpenShift with the Layered Zero Trust Validated Pattern,
• Advanced authentication for Data Grid in Red Hat OpenShift 4: Keycloak and SSO,
• Locking down MCP at the gateway,
• Advanced authentication for Data Grid in Red Hat OpenShift 4: LDAP and LDAPS,
• Red Hat Lightspeed advisor self-managed for air-gapped clusters,
• Moving from watsonx.ai to OpenShift AI 3: what changes when you deploy,
• Sovereign AI is an operator problem. Build on software you can take with you,

Containers:

• Enterprise AI on your machine: Local inference and benchmarking with Red Hat AI Inference,
• What’s new in Red Hat build of Podman Desktop 1.2,

RHEL:

• Test and deploy bootable containers with bootc virtualization kit (bcvk),
• Advancing NetOps-as-Code: Strategic momentum, enhanced security, and multimode automation,
• How to patch application vulnerabilities without upgrading,
• One SoC. Two worlds. Zero compromise: How Red Hat In-Vehicle Operating System and DXC AMBER come together in a mixed-criticality software-defined vehicle solution,
• Optimized support for Open NVIDIA Nemotron 3.5 Super VL,
• A patch only reduces risk when it runs in production,
• Red Hat Enterprise Linux is now a native offering on Oracle Cloud Infrastructure,
• Prepare your custom plug-ins for Red Hat Developer Hub 2.1,
• RHEL for NVIDIA delivers trusted foundation for next-gen AI workloads,
• Red Hat and HP: Empowering physical AI from bench to fleet,
• Red Hat Expands Availability of Its Industry-Leading Hybrid Cloud Platforms on Oracle Cloud Infrastructure,
• Red Hat AI Factory with NVIDIA Accelerates Agentic AI Security Capabilities Across the Open Hybrid Cloud,
• Test Lightwell dependency upgrades locally,
• Red Hat enterprise-specific benchmarks for coding agents: Why we built RH SWE-bench,
• Local inference and benchmarking with Red Hat AI Inference,

Miscellaneous:

• vLLM vs. SGLang: Choosing the right inference engine for your workload,
• AI tokenomics: Balancing open-weight and frontier models for optimal ROI,
• Open Source Security Signals | Q3 2026,
• Clang Bytecode interpreter update 2026,
• Crossing the threshold to dependable open source AI serving,
• Jev: Bounded semantic judgments for messy text,
• Building AI the open source way: Research insights from Red Hat and the Linux Foundation,
• llm-d 1.0 Advances Open, Cost-Efficient AI Inference for Production Scale,
• Top 5 enterprise use cases for AI agents,
• Quarkus 4 Beta is Out.