Kubernetes:

• Understanding Headless Services in Openshift/Kubernetes,
• Why your RBAC linter misses privilege escalation chains (and how to fix it),
• Why killing pods is not enough: Testing operator reconciliation with operator-chaos,

OpenShift:

• Demystify the terminology of OpenShift hosted control planes,
• Demystify the architecture of OpenShift hosted control planes,
• Agentic AI on Red Hat OpenShift: What enterprises are doing right now,
• Batch inference on OpenShift AI with llm-d: Architecture, integration, and workflows,
• BackendTLSPolicy expands Gateway API transport security,
• Routing between local and SOTA LLMs on OpenShift AI — Part 1: the routing engine,
• Routing between local and SOTA LLMs on OpenShift AI — Part 2: a governed front-door with Connectivity Link,
• Track model usage with the OpenShift AI 3.4 usage dashboard,
• 5 anti-patterns that cause Kubernetes operator vulnerabilities,
• Visualize your cluster: Manage observability with Red Hat build of Perses,
• A Kubernetes-Native Alternative to VMware DRS: RHACM 2.16 Right-Sizing,
• Optimizing Cloud-Native Operations Series — Part 13: Maximum compute utilization Automation Mesh between 2 AAPs on 2 OCP clusters,
• Running database workloads on Red Hat OpenShift Virtualization,
• Tune and troubleshoot Red Hat Data Grid cross-site replication,
• From automatic CI/CD to autonomous agentic workflows: Continuous AI with Red Hat OpenShift,
• Troubleshoot Red Hat OpenShift Virtualization localnet with the netobserv command,
• New observability features in Red Hat OpenShift 4.22,
• Fixing Splunk Connection Drops in OpenShift Logging 6.x,

Containers:

• Introducing Podman v6.0.0,
• Automatic CA Certificate Import in Podman 6,
• Hyper-V Machines for Unprivileged Users,

Service Mesh:

• Introducing Red Hat OpenShift Service Mesh 3.4,

RHEL:

• Build a multi-agent supervisor pattern on Red Hat AI,
• Upgrade RHEL with leapp,
• Beyond the baseline: Introducing the Digital Sovereignty Readiness Appraisal,
• Scaling NetOps-as-Code: Improving security, eliminating random scripting, and more,
• Red Hat build of Quarkus 3.33: Stability and performance advancements for enterprise Java,
• Smarter data generation for faster Speculator training,
• Provide access to Red Hat documentation in environments with limited connectivity,
• Red Hat Enterprise Linux Long-Life Add-On: Your path to RHEL with no pre-determined end date,
• Satellite 6.19 delivers Red Hat Lightspeed on premise security monitoring,
• IPV6_FRAG_ESCAPE vulnerability: Fixed!
• How NetworkManager uses eBPF to support CLAT and IPv6-mostly,
• MLOps at the edge: deploying AI models from cloud to GPU-powered edge devices with FlightCtl,
• Pluggable by design: An agent mesh for software modernization that adopts the next model release,
• New features in Python 3.14,

Miscellaneous:

• Inside the vLLM-Omni architecture: Serving Qwen3-Omni,
• Linux Foundation Unveils New Open Source Security Project Akrites,
• Dependency analytics 1.0: AI coding with supply chain security,
• An introduction to the vi editor,
• EvalHub: Capability and safety benchmarking for AI models.

Kubernetes:

• Prometheus and Grafana for Kubernetes node monitoring,
• VictoriaMetrics vs Prometheus: my default, and when I still pick Prometheus,
• K8s Secrets: Why We Migrated from SealedSecrets to ExternalSecrets,

OpenShift:

• What’s New in OpenShift 4.22 – Key Updates and New Features (69min),
• Forward OpenShift logs to Azure Monitor with ClusterLogForwarder and OpenTelemetry,
• Kubernetes requests and limits: why both teams are right,
• Towards self-adjusting AIOps Systems — An Update,
• Monitoring AAP 2.5+ on OpenShift, Part 2: the Cluster Observability Operator path,
• Mirroring OpenShift Release Images to a Supported Container Registry,
• Fleet‑scale GitOps control flow with Red Hat Advanced Cluster Management,
• Preserve OpenShift Pipelines logs with OpenTelemetry,
• Troubleshoot application misbehavior after an OpenShift upgrade,
• Manage LLM evaluation workloads at scale with EvalHub and Kueue,
• Deploy MemPalace MCP Server on Red Hat OpenShift AI,
• Introducing Project Navigator: From AI intent to optimized deployment on Red Hat OpenShift AI,
• Right-sizing recommendations with MCOA and Perses dashboards,
• SQL with GenAI: Building an Apache Iceberg lakehouse on Red Hat OpenShift,
• Designing distributed AI inference: Core concepts and scaling dimensions,
• From empty cluster to Internal Developer Portal,
• Implement mTLS and zero trust with cert-manager and trust-manager,
• How to integrate OpenShift AI and PG Airman MCP Server,
• OpenShift Data Guard: Mastering Backup & Restore with CSI PVC Snapshots,
• Red Hat OpenShift delivers high-performance LLM inference for financial services,
• Inside OpenShift: An Engineer’s Investigation Series — Part 2,
• To consolidate, or not to consolidate?
• Implement GPU-as-a-Service with Kueue and NVIDIA MIG,
• Install an OpenShift lab on a single Hetzner server with the Assisted Installer,
• Build a dynamic E2E test quarantine system with Prometheus and Grafana,
• Can’t patch fast enough? Zero trust as a last line of defense,
• How to set up OpenShift Virtualization ServiceNow CMDB discovery: Deploying an in-cluster MID Server,
• How to set up Red Hat OpenShift Virtualization ServiceNow CMDB discovery: Configuring virtual machines with a custom Discovery Pattern,
• Deploy secure agentic AI: Protocols and performance tuning,
• Scale document ingestion with Docling and Ray on OpenShift AI,
• MetalLB Layer 2 Monitoring Dashboard with Grafana and Prometheus,

Containers:

• Podman 6 Configuration File Changes,
• Making HTTP requests from a container that has no curl, using bash /dev/tcp,
• Red Hat UBI vs. Red Hat Hardened Images: How to choose,

RHEL:

• Bring your own knowledge to the automation intelligent assistant,
• What’s new in Red Hat build of Apache Camel 4.18,
• Get ready for Ansible Automation Platform 2.7,
• Red Hat Lightspeed on premise delivers infrastructure intelligence inside your firewall,
• How to integrate CyberArk with Identity Management,
• Building a custom Red Hat Enterprise Linux kernel for NVIDIA DGX Spark,
• Connect EvalHub to protected production model servers,
• Reclaiming infrastructure autonomy: The 180-day mandate for virtualization service providers,
• Building a soft real-time vPAC with Red Hat Enterprise Linux, KVM, and Podman,
• Build a Red Hat Enterprise Linux EUS image with image-builder CLI,
• Beyond regex: Harvesting security logic with LLMs,
• To the moon and beyond: RamaLama being tested by NASA to potentially support a medical AI assistant for future deep space missions,
• Build a RHEL environment with image builder and content templates,
• AlmaLinux OS is Common Criteria certified,
• From alert fatigue to automated action: Automated patching in the AI era,
• Govern privileged workload boundaries with Red Hat OpenShift, Ansible Automation Platform, and Identity Management,
• Empower your AI tools with new agent skills for Red Hat Enterprise Linux,
• Distributed AI inference: What telecom service provider leaders should know,
• Supercharge RHEL troubleshooting with agentic AI: Introducing goose,
• How should your infrastructure connect to Red Hat Lightspeed?

Miscellaneous:

• Triton Kernel Profiling with Proton and ROCm on AMD GPUs,
• Why your microVM sandbox solves a particular problem very well, but not the agent security problem,
• Optimizing distributed AI inference: Advanced deployment patterns,
• The AI code paradox: Moving fast without breaking security,
• The last mile: from zero trust tokens to real-world resources,
• Why you should use Fromager to build your Python dependency trees from source,
• Deploying distributed AI inference: Blueprints & troubleshooting,
• systemd v261 released,
• nvitop: An interactive NVIDIA-GPU process viewer,
• A backdoor in a LinkedIn job offer,
• Running microVMs in Proxmox VE, The Easy Way,
• Expanding AI beyond text: an introduction to vLLM-Omni.

Kubernetes:

• HyperConverged Kubernetes on Ubuntu,
• Calico on Hyperconverged Kubernetes,

OpenShift:

• Gang autoscaling on OpenShift with Kueue and ProvisionRequest,
• Build a local voice agent with Red Hat OpenShift AI,
• Integrate OpenShift AI and PG Airman MCP Server,
• Configure input guardrails for an OpenShift AI voice agent,
• GitOps at Scale,
• Model-as-a-Service: How to run your own private AI API,
• A Guide to Backup and Restore via OpenShift OADP,
• Monitoring Ansible Automation Platform 2.5+ on OpenShift with Prometheus and Grafana,
• Benchmarking Prefill/Decode Disaggregation on OpenShift AI with GuideLLM,
• Deploying OpenClaw on OpenShift,
• Protect internal traffic in openshift,
• Protecting enterprise AI: How to manage API keys in Models-as-a-Service (MaaS),
• Automate application migration with MigIQ: From Spring Boot to Quarkus,

Containers:

• Buildah version 1.44.0 Release Announcement,

RHEL:

• Bring your own evaluation framework to EvalHub,
• Lessons from an autonomous computer vision system on the air-gapped edge,
• Expiration of Secure Boot signing certificates in 2026,
• What’s New in Ansible Automation Platform 2.7,
• What’s new in Red Hat Ansible Automation Platform 2.7,
• Ansible Automation Platform 2.7: Visual Execution Environment Builder and Content Discovery Guide,
• Wiring zero trust identity for AI agents: SPIFFE, token exchange, and Kagenti,
• Add automated AI evaluations to your CI/CD pipeline,
• Creating an auditd rule to monitor Ansible Automation Platform static secrets,
• AI threats move fast. Your defenses should too,
• How to use Red Hat Satellite to deploy virtual machines in Microsoft Azure,
• Architecting true autonomy with a level 4/5 network,
• Red Hat has updated the RISC-V Developer Preview,
• Red Hat IDM + Active Directory Trust: Complete Guide for Linux Access Control,
• Using NetworkManager to permanently set an interface administratively down,
• Securing the enterprise software fabric: A blueprint for open source,
• What’s new with image builder for Red Hat Enterprise Linux 10.2 and 9.8,
• Red Hat AI Inference on Amazon EKS: Exploring the Kubernetes resources,
• Chat with your docs with Red Hat Developer Hub,

Miscellaneous:

• Why agentic AI needs an open inference stack,
• What you need to know about the Microsoft Secure Boot certificate expiration: Don’t Panic!
• Building and running Bazel applications on AutoSD: Toolchains, containers, and recommended practices,
• How speculative decoding delivers faster LLM inference,
• A 10 year old Xeon is all you need,
• You Don’t Love systemd Timers Enough,
• Something is jamming GPS over Europe. Here’s what we found (34min),
• Sandbox AI coding agents with microVMs on Fedora Linux,
• Web-Based Remote Installation for Fedora Linux: Here’s What We’re Building,
• llama.cpp vs. vLLM: Choosing the right local LLM inference engine,
• MPI-powered gradient synchronization in PyTorch distributed training,
• The evolution of agentic AI and text-to-SQL,
• Store immutable AI evaluation records with EvalHub and OCI.

OpenShift:

• Build an enterprise RAG system with OGX,
• Testing infrastructure red teaming with abliterated models,
• OpenShift OpenTelemetry observability complete signal collection with Datadog export,
• Trust the OpenShift Local Root CA on your workstation,
• Running AI inference on Rebellions ATOM NPU with Red Hat AI,
• GitOps in Action: A Hands-On Guide to Argo CD Using a Dynamic Web Application,
• GitOps-Driven Installation of Red Hat OpenShift AI on IBM Fusion with Argo CD,
• GitOps-Driven Model Serving on Red Hat OpenShift AI with OpenShift GitOps (Argo CD) on IBM Fusion HCI,
• Running Disaggregated LLM Inference on IBM Fusion HCI,
• Deploying LLMs on OpenShift AI 3.0 with Intelligent Load Balancing,
• Building an AI Chat Interface with GenAI Playground and MCP Tools on OpenShift AI 3.0,
• Fine-Tuning FunctionGemma for OpenShift Commands with LoRA on OpenShift AI,
• LM-Eval on OpenShift AI: From Setup to Custom Evaluations,
• Exploring Docling + Langflow: Building a RAG Pipeline on OpenShift,
• Exploring GuideLLM: Benchmarking a Live LLM on OpenShift,
• How We Built an Observability Stack for llm-d on OpenShift AI,
• Kiali and MCP: Bringing AI-native observability to Red Hat OpenShift Service Mesh,
• Manage MCP servers on Red Hat OpenShift with the MCP lifecycle operator,
• What’s new in OpenShift Container Platform system management,
• Owning the system clock: Good enough?
• Protect your Kubernetes Operator from OOMKill,
• Red Hat build of Cryostat 4.2: Enhanced Java monitoring for OpenShift,
• Improve vLLM Semantic Router accuracy with fine-tuning,
• Evaluation-driven development with EvalHub,
• Deploy Hermes Agent on OpenShift AI with vLLM model serving,
• Accelerate autoscaling inference in Red Hat AI with Everpure,
• Fragnesia and friends: When page cache vulnerabilities keep coming back,
• OpenShift Virtualization 4.21: Removing complexity from your virtual machine networking workflow,
• Build modular AI pipelines with OpenShift AI and reusable components,
• iSCSI vs. NVMe/TCP: The ultimate storage showdown for Red Hat OpenShift Virtualization,
• An overview of confidential containers on OpenShift bare metal,
• Type what you want to break: AI-assisted chaos engineering with Krkn,
• Architecting OpenShift Pipelines as Code for Enterprise Monorepos: A Technical Guide,
• A single dashboard for your cluster network with Network Health,
• OpenShift 4.18 Ingress Architecture: Sharding Strategies, Metric Thresholds, and High-Volume Traffic Management,

Containers:

• BYOM Provider: Bring Your Own CVMs to run Confidential Containers,
• UBI 9 and 10 builders on Paketo Buildpacks with multi-arch support,
• Image Sealing with composefs,

RHEL:

• General Availability of AlmaLinux OS 9.8 and 10.2 Stable!
• Building the levee: Why Red Hat’s post-quantum strategy is already in production,
• Context-aware advisor recommendations in Red Hat Lightspeed,
• The new reality of supply chain trust: Why platform-native security is non-negotiable,
• Solutions for SELinux MCS challenges with GitLab runners,
• Convert and upgrade your RHEL-like system to RHEL in one go,
• 4 reasons to start using image mode for Red Hat Enterprise Linux right now,
• Advancing post-quantum capabilities of SSH in Red Hat Enterprise Linux,
• 7 features of Red Hat Identity Management you need to know for the modern enterprise,
• From Amazon Linux 2 to RHEL: Plan your conversion,
• When certificates expire 8x faster, manual renewals break,
• Is digital sovereignty illusory without open source and a trusted supply chain?
• Stop managing, start orchestrating: Streamlining catalyst operations with Red Hat Ansible Automation Platform,
• AI in production at the industrial edge: A repeatable path with Red Hat and Intel,
• Beyond automation: Why the surge in AI-driven security vulnerabilities demands human technical advocacy,
• The next evolution of Red Hat documentation is here,
• Installing Red Hat Enterprise Linux 10 from a bootc image with bootc,
• Build security into ITOps from the start with automation,
• Planning your path forward from Amazon Linux 2: Why consistency is the ultimate upgrade,

Miscellaneous:

• Using a local Renovate bot to manage Ansible collection dependencies,
• LLM Proxy Cache: Why and How to Use It,
• How we built integration testing for fast-moving AI backend,
• The same 16 GPUs, twice the users: Inference-aware routing for LLM clusters,
• stalld’s BPF Backend: Breaking Free from debugfs,
• LogAn: Large-scale log analysis with small language models,
• Benchmarking AI inference on CPUs: A transparent blueprint for the enterprise,
• Claude as your performance analysis partner,
• From context to dreams: architecting memory for AI agents,
• Learn to optimize, deploy, and benchmark LLMs with vLLM: A New Free Course,
• Speculators v0.5.0: DFlash support and online training,
• Understanding evaluation collections in EvalHub,
• Why your database benchmarking data is probably wrong (and how I fixed mine),
• Use Claude Code Hooks to Know When Claude Is Waiting for Input,
• AWS Interview Question: AWS S3 Cross-Account Access Setup explained.

Kubernetes:

• Cluster Upgrades — Best Practices for Zero Downtime,
• We replaced our registry mirror scanner with a K8s admission webhook,

OpenShift:

• Keeping a Windows Server 2025 Golden Image Up to Date on OpenShift Virtualization,
• CVE-2026-31431: How Red Hat Advanced Cluster Security and Red Hat Advanced Cluster Management can help,
• Control your AI agent traffic at scale: Model Context Protocol gateway for Red Hat OpenShift is now in technology preview,
• Give AI agents safe access to your cluster: Model Context Protocol server for Red Hat OpenShift is now in technology preview,
• Deploy hosted control planes with OpenShift Virtualization: Distributed hosting,
• Run multiple OpenStack Services on OpenShift with HCPs,
• Storage isolation with OpenStack Services on OpenShift distributed zones,
• Simplify distributed tracing: ObservabilityInstaller installation,
• Microsoft Entra SPN auth with OpenShift,
• Kubernetes-Native Authentication in OpenShift using External Authentication,
• Openshift — Leveraging UDN for Multicast Testing,
• NVIDIA OVS-DOCA via On-Cluster Layer OpenShift,
• Bringing new levels of security to the cloud-native frontier: Unified posture management and real-time protection,
• Integrate zero trust workload identity manager with Red Hat OpenShift GitOps,
• Introducing virtualization platform autopilot,
• Federated identity across the hybrid cloud using zero trust workload identity manager,
• Learn OpenShift Virtualization: 8 resources to help you get started,
• How the Loki Operator is Quietly Revolutionizing Kubernetes Logging,

Containers:

• Build trusted Python containers with Project Hummingbird and Calunga,
• Red Hat UBI 8 builders have been promoted to the Paketo Buildpacks organization,

RHEL:

• AlmaLinux 10.2 Beta Now Available!
• Dirty Frag vulnerability fix is ready for testing,
• Reproducible Ansible with Execution Environments,
• Strengthening the enterprise foundation: Red Hat and Oracle’s expanding collaboration,
• Provable digital sovereignty: How IBM Sovereign Core with Red Hat delivers verifiable independence,
• AIOps and Ansible Automation Platform: Where AI intelligence meets trusted execution,
• From research lab to factory floor: Why humanoid robots need an enterprise-grade foundation,
• Why your container registry strategy will decide your platform’s resilience,
• When AI finds the bugs: Why defense in depth was always the answer,
• Using eBPF in Red Hat products,
• Accelerate innovation and govern integrity with Red Hat Satellite 6.19,
• F5 AI Guardrails quickstart: Answering the hard questions,
• Why automated OS upgrades still need a human in the loop,
• Red Hat Delivers Post-Quantum Readiness and AI-Powered Automation with Latest Versions of Red Hat Enterprise Linux,
• Why developer portals matter more in the age of AI agents,
• Confidential virtual machine storage attack scenarios,
• Fragnesia (CVE-2026-46300): Patched kernels available in testing,
• NGINX Rift (CVE-2026-42945): Patched nginx available in testing,

Certifications:

• Validate targeted expertise: Major updates to Red Hat Certification,

Miscellaneous:

• Guardrails: Enterprise safety shields with Llama Stack,
• How Kagenti ADK simplifies production AI agent management,
• How we made one data layer serve the UI, the mocks, and the E2E tests,
• Google Chrome silently installs a 4 GB AI model on your device without consent,
• Fedora Hummingbird: Taking the Hummingbird model to the full operating system,
• Tekton joins the CNCF as an incubating project.

Kubernetes:

• FinOps for Kubernetes: when “it works” isn’t enough,
• SELinux Volume Label Changes goes GA (and likely implications in v1.37),
• Kubernetes v1.36: User Namespaces in Kubernetes are finally GA,
• Kubernetes v1.36: Fine-Grained Kubelet API Authorization Graduates to GA,
• Kubernetes v1.36: Mutable Pod Resources for Suspended Jobs (beta),
• Kubernetes v1.36: Staleness Mitigation and Observability for Controllers,
• Kubernetes v1.36: Tiered Memory Protection with Memory QoS,
• Kubernetes v1.36: In-Place Vertical Scaling for Pod-Level Resources Graduates to Beta,
• Kubernetes 1.36: What Actually Changed for Enterprise Platforms,
• Auto-diagnosing Kubernetes alerts with HolmesGPT and CNCF tools,
• How the Kubernetes control plane works,
• Multi-Layer Sandboxing of AI Workloads in Kubernetes,
• Build .NET container images with Tekton,

OpenShift:

• Building a Windows Server 2025 Golden Image on OpenShift Virtualization,
• image-cgroupsv2-inspector 2.5: Registry mode, Go scanning, deep-scan, and HTML reports,
• Deploy hosted control planes with OpenShift Virtualization,
• OpenCode: A model-neutral AI coding assistant for OpenShift Dev Spaces,
• Zero trust observability: Integrating OpenTelemetry with workload identity manager,
• Deploy OpenViking on OpenShift AI to improve AI agent memory,
• Confidential clusters for Red Hat OpenShift: Developer Preview now available on Microsoft Azure with AMD SEV-SNP,
• Open Virtual Networking with OpenShift Virtualization,
• Step by step process of Migrating Virtual Machines from OpenStack to OpenShift,
• Kubernetes operator for NemoClaw on OpenShift,
• Deploy hosted control planes with OpenShift Virtualization: Split hub,
• Using NVIDIA Aerial CUDA-Accelerated RAN on Red Hat OpenShift to accelerate development of AI-native 5G and 6G RAN solutions,
• Designing multitenant GPU infrastructure: Isolation across virtualization and Kubernetes platforms,
• Elastic Kubernetes Integration for the OpenShift Administrator!
• Unlocking sovereign AI and protected collaboration with confidential computing,
• OpenShift AI observability summarizer: Transform metrics into meaning,
• How StatefulSet deployments tripled OpenShift Pipelines throughput,
• How to monitor OpenShift Virtualization VMs with Zabbix,

Containers:

• Multi-Agent gVisor Isolation (MAGI),
• Closing the Performance Gap: Automating Podman Benchmarks Across Linux, macOS, and Windows,
• Ansible-Native Quadlets: Deploying a Mastodon Greeter Bot with containers.podman,
• Podman Desktop 1.27 Release,
• Exploring distroless containers with Project Hummingbird,

RHEL:

• ELevating to AlmaLinux 10 x86_64_v2,
• From RAG to agentic AI: When models stop answering and start acting,
• Integrating Red Hat Lightspeed with CrowdStrike for enhanced malware detection coverage,
• Now generally available: Red Hat Confirmed Sovereign Support drives digital autonomy for global enterprise,
• 3 lessons for building reliable ServiceNow AI integrations,
• How we rewrote a production UI without stopping it,
• The subject matter expert advantage in the AI era,
• CodeCov and CodeRabbit in action for a SCLORG organization,
• Introducing Apache Tomcat 10.1 in RHEL 10,
• Red Hat Survey Explores the AI Sovereignty Gap and Disruption Risk Posed to UK Businesses,
• Bridging legacy and cloud-native: A new path with Red Hat OpenShift Dedicated deployed on Google Cloud and Google Cloud NetApp Volume,
• California’s New Age Verification Law: What It Means for AlmaLinux,
• AlmaLinux 9.8 Beta Now Available!
• Automate Infoblox DDI with Red Hat Ansible Automation Platform,
• Copy Fail (CVE-2026-31431) Patches Released,
• Boosting speed: Use eBPF and netstacklat to troubleshoot latency,
• How we turned Storybook into a behavioral verification engine,

Red Hat Summit 2026 sessions:

• Customer stories and continued momentum: OpenShift Virtualization sessions at Red Hat Summit 2026,
• The definitive automation guide to Red Hat Summit 2026: Must-attend Red Hat Ansible Automation Platform sessions, talks, and labs,

Fedora 44:

• The Fedora Linux 44 Release is Here!
• Announcing Fedora 44,
• What’s New in Fedora Workstation 44,
• How to Rebase to Fedora Linux 44 on Silverblue,
• What’s New for Fedora Atomic Desktops in Fedora Linux 44,
• Sealed Fedora Atomic Desktop bootable container images,
• What’s New in Fedora KDE Plasma Desktop 44,
• Fedora Asahi Remix 44 is now available,

Miscellaneous:

• AI-powered documentation updates: From code diff to docs PR in one comment,
• Combining KServe and llm-d for optimized generative AI inference,
• Code execution with MCP: How sandboxed Python replaces tool schema bloat in AI agents,
• From 200 lines to 15: How Helion is rewriting the rules of GPU programming,
• Confidential guest reset on QEMU hypervisor: Design choices and approach,
• When less is more: Why less precision and fewer parameters carry enterprise AI,
• Filesystems: Introduction,
• Beyond the next token: Why diffusion LLMs are changing the game,
• Building a hardened, image-based foundation for AI agents,
• Extending Trustee Key Broker Service with Remote Plugins,
• How Many Users Can Your LLM Server Really Handle?
• New features in GCC 16: Improved error messages and SARIF output.

Kubernetes:

• From Shadow AI to Fleet Architecture: Decision Patterns for Kubernetes AI Agents,
• From Ingress to Gateway API: Key Insights from a Kubernetes Migration,

OpenShift:

• Loki Stream Rate Limits: OpenShift Proactive Alert,
• Agent-driven attestation: How Keylime’s push model rethinks remote integrity verification,
• Openshift 4.19: Cgroups v1 removal,
• How DNS name tracking enhances network observability,
• Enable Firewall-as-a-Service in OpenStack Services on OpenShift,
• Build resilient guardrails for OpenClaw AI agents on Kubernetes,
• Install Red Hat Data Grid operator in a disconnected environment,
• When the Network Remembers the Wrong Node,
• Integrating Kasten K10 with TrueNAS for Backup on OpenShift,
• The Spring Boot Startup Secret That Saved Us 40 Seconds,
• What Really Happens When You Create a Project in OpenShift,
• Red Hat OpenShift sandboxed containers 1.12 and Red Hat build of Trustee 1.1 bring confidential computing to bare metal and AI workloads,
• Kasten FLR UI — File Level Recovery, Malware Detection & Scheduled Scanning,
• Deploy TAP-as-a-Service in OpenStack Services on OpenShift,
• Deploying agents with Red Hat AI: The curious case of OpenClaw,
• Single Node OpenShift (SNO) in an Isolated Network,
• Tuning OpenShift GitOps for performance at scale,
• Announcing Red Hat OpenShift Pipelines 1.21: Faster builds, smarter caching, and improved troubleshooting,
• OpenShift on AWS: A Complete Guide to Red Hat OpenShift Service on AWS — Classic, HCP, and STS,
• Confidential Containers workshop on Microsoft Azure Red Hat OpenShift: Learn interactively,
• Understanding Confidential Containers – Workshop on ARO.
• MongoDB Kanister Hooks for KubeVirt VMs on OpenShift,
• MCP security: Containerization and Red Hat OpenShift integration,
• The zero touch future: Enabling Telstra’s path to a fully autonomous, self-healing network,
• Protect identity infrastructure in cloud-native environments,
• Proximity automation with Red Hat Ansible Automation Platform and Red Hat OpenShift Virtualization,
• Build deterministic OpenShift dataplane performance with TRex,
• Red Hat build of Kueue 1.3: Enhanced batch workload management on Kubernetes,
• Integrate Red Hat Enterprise Linux VMs into OpenShift Service Mesh,
• IBM API Connect on OCP — Injecting pod-specific properties into DataPower config objects,
• From Application Deployment to Library Publishing: A Complete OpenShift CI/CD Journey,
• PostgreSQL WAL Full on OpenShift (CP4I),
• Fast Deploy multiple Applications using Multiple Sources and ApplicationSet in Argo CD,

Containers:

• Integrate Trustee with the External Secrets Operator,
• Transitioning to Podman: Navigating Rootless Containers, Multi-Stage Builds, and Skopeo,
• From Rootless Containers to Orchestration: Demystifying Podman, Data Persistence, and Network Forensics,
• From Local Compose to OpenShift: My Journey Orchestrating Containers the Right Way,

RHEL:

• Planning your upgrade path to Ansible Automation Platform 2.6,
• AI for scientific research: Building the research platform that science needs with Red Hat AI,
• Creating a RHEL 10 VM on macOS with bootc-image-builder,
• Creating a customized RHEL 10 VM image with image-builder,
• Precision over perception: Why architecture matters in benchmarking,
• Tackle critical vulnerabilities with the new Red Hat Lightspeed remediation workflow,
• Managing and monitoring Podman Quadlet in the Red Hat Enterprise Linux web console,
• Build more secure, optimized AI supply chains with Fromager,
• 233% 3-year return on investment and 13 months to payback with Red Hat AI,
• Taming costs in cloud environments: Rating in OpenStack with CloudKitty,
• Building Red Hat MCP-ready images with image mode for Red Hat Enterprise Linux,
• AlmaLinux OS Kitten 10 expands community support with i686 userspace,
• Event-Driven Ansible: Configure and Test Ansible Rulebooks with Webhook Events,
• Engineering an AI-ready code base: Governance lessons from the Red Hat Hybrid Cloud Console,

Miscellaneous:

• MCP security: Logging and runtime security measures,
• Navigating the Mythos-haunted world of platform security,
• Manage AI context with the Lola package manager,
• llm-d: Intelligent Inference at Scale — Beyond What More GPUs Can Deliver,
• AWS Just Made S3 Buckets Mountable as File Systems — Here’s What That Means,
• How I refactored a legacy Node.js test suite with Claude (and saved 3 days of work),
• Using Anthropic’s models via Vertex AI in opencode,
• Free Observability (O11y Guide) Workshops,
• GDB source-tracking breakpoints,
• AI optimization: 7 powerful techniques you can use today!
• Performance improvements with speculative decoding in vLLM for gpt-oss,
• pip install vllm: The iceberg under a single command.

Kubernetes:

• Building a Production-Ready DevSecOps Pipeline on AWS (EKS + Jenkins + Trivy + SonarQube),
• Node-RED on Kubernetes & OpenClaw on Ubuntu 24.04 — Integration Guide,

OpenShift:

• Modernize virtual machines on Google Cloud with Red Hat OpenShift Virtualization,
• Integrate Claude Code with Red Hat AI Inference Server on OpenShift,
• Red Hat and Google Cloud Expand Collaboration to Accelerate Application Modernization and Cloud Migration with Red Hat OpenShift,
• Stop Guessing at Low-Latency: A Hands-On Guide to OpenShift Performance Optimization,
• Understanding Loki Rate Limits in OpenShift Logging,
• What’s new in Red Hat OpenShift Virtualization 4.21,
• From Drift to Enforcement: A Self-Healing Security and Compliance Engine for OpenShift,
• The Guide to OpenBao – Secrets Engines KV – Part 8,
• The Guide to OpenBao – Secrets Engines PKI – Part 9,
• OpenShift Role-Based Access Control (RBAC) Implementation and Management,
• Spending transaction monitor: Agentic AI for intelligent financial alerts,
• Fencing OpenShift Virtualization Workloads with Fence Agents Remediation (FAR) and a Redfish Emulator,
• Architecture Deep Dive — How ODF, Ceph, and OpenShift Virtualization Deliver Enterprise‑Grade VM Disaster Recovery,
• Setting Up Distributed Tracing in OpenShift with Tempo,
• Autonomous Multi-Agent Log Analysis on OpenShift: Deep Dive into Intelligent Troubleshooting,
• Scaling Without the Sting: Using In-Place Pod Resize to Solve the “Restart Tax” on OpenShift,
• Announcing Red Hat Advanced Cluster Security for Kubernetes 4.10,
• From network telemetry to operational intelligence,
• How to get raw device mapping with OpenShift Virtualization,
• Unlocking efficiency: A guide to operator cache configuration on Red Hat OpenShift and Kubernetes,
• Implement a multicluster event exporter for enterprise automation,
• Blast radius validation: Large and small Red Hat OpenShift nodes,
• Faster AI/ML container startup with additional storage in Red Hat OpenShift 4.22,
• Beyond guesswork: Generating accurate ingress firewall rules with oc commatrix,
• Red Hat build of Perses with the cluster observability operator,
• ARCADIANS Clone — Classic BBC Micro Game,
• Automating HashiCorp Vault Seal/Unseal with Kasten K10 Backup Hooks,
• Kasten Backup Alerter,
• Kasten Backup Summary Dashboard,
• Managed identity in Azure Red Hat OpenShift: Deploy in just a few clicks with the Azure portal,
• Distributed tracing for agentic workflows with OpenTelemetry,
• Running Karpathy’s autoresearch on Red Hat OpenShift AI: 198 experiments, zero intervention,

Containers:

• Keycloak 26 on Podman with Quadlets: Identity Management the systemd Way,
• Introducing the Red Hat Universal Base Image,
• Using containers to bring software engineering rigor to AI workloads,
• Bootable containers: Reduce friction with Red Hat Enterprise Linux image mode,
• Podman in Production: Quadlets, Secrets, Auto-Updates, and Docker Compatibility,
• Podman on FreeBSD: OCI Containers Without systemd,

Service Mesh:

• Istio Ambient on OpenShift: major evolution or simple displacement of complexity?

RHEL:

• Reproducible builds in Project Hummingbird,
• Scale LLM fine-tuning with Training Hub and OpenShift AI,
• AIOps and MLOps made simple: Automating Vertex AI with Red Hat Ansible Automation Platform,
• Red Hat Enterprise Linux now supported for Microsoft SQL Server on Azure VMs with SQL IaaS Agent extension,
• Unsloth and Training Hub: Lightning-fast LoRA and QLoRA fine-tuning,
• Why customers are choosing Red Hat AI for real business outcomes,
• Red Hat AI tops MLPerf Inference v6.0 with vLLM on Qwen3-VL, Whisper, and GPT-OSS-120B,
• How to plan your RHEL lifecycle with AI,
• Enabling long-term stability: Introducing Red Hat Enterprise Linux Extended Life Cycle, Premium,
• Automating the modern network: A Q1 network automation recap,
• Take your automation to the next level with Ansible Content Collections for Windows, Splunk, AIOps, MCP, and more,
• Red Hat solutions for the hybrid SAP landscape,
• Refactoring at the speed of mission: An “agent mesh” approach to legacy system modernization with Red Hat AI,
• Part I: AI for scientific research: The power of small language models,
• Set up a CI framework using Red Hat Ansible Automation Platform, Podman, and Horreum,

Miscellaneous:

• AI security: Defending against prompt injection and unsafe actions,
• systemd v260 released,
• PyTorch Call Stack Deep Dive: Tracing Tensor Operations from Python to C++ Kernels,
• AI security: Identity and access control,
• 4 use cases for AI in cyber security,
• Vibes, specs, skills, and agents: The four pillars of AI coding,
• JBoss EAP XP 6.0: Achieving observability with OpenTelemetry,
• I Tested Local LLMs to Triage My Gmail. Here’s What Worked,
• Make a private CA with step-ca,
• Running LLMs dynamically, in production, on limited resources, is hard. We think there’s room for another approach…,
• Run Gemma 4 with Red Hat AI on Day 0: A step-by-step guide,
• Introduction to Linux interfaces for virtual networking,
• KV Caching Explained: Optimizing Transformer Inference Efficiency,
• How a Poisoned Security Scanner Became the Key to Backdooring LiteLLM,
• Harness engineering: Structured workflows for AI-assisted development.

Kubernetes:

• Monitoring Kubernetes with Telegraf, Arc, and Grafana,
• Eliminating the ‘Rego tax’: How AI orchestrators automate Kubernetes compliance,
• I Was Tired of Digging Through Kubernetes Audit Logs. So I Built a Real-Time Explorer,
• Scaling Btrfs to petabytes in production: a 74% cost reduction story,
• Kimspect: the missing utility in kubectl to help you inspect container images on your pods and nodes,
• Nvidia fake GPU Operator,
• Security bug in CSI Driver for NFS,
• DNS name tracking with Network Observability,
• Your Jupyter Notebooks Keep Breaking in Production. Here’s Why CI Can’t Fix It,

OpenShift:

• I Replaced Our Entire OpenShift Observability Stack With One Database,
• Kasten K10 Disaster Recovery (DR) Setup Guide for Kubernetes / OpenShift,
• Configure NVIDIA Blackwell GPUs for Red Hat AI workloads,
• Advanced Cluster Management 2.16 right-sizing recommendation GA,
• Generate a no-cost VMware migration-readiness report with the OpenShift migration advisor,
• Prepare to enable Linux pressure stall information on Red Hat OpenShift,
• How Advanced Cluster Management simplifies rule management,
• Red Hat Openshift AI (Feature Store) – Part 1,
• Automate test and failure analysis via streams for Apache Kafka,
• How to operate OpenShift in air-gapped environments,
• Rebalance hub workloads with managed cluster migration,
• Hybrid loan-decisioning with OpenShift AI and Vertex AI,
• Optimizing cluster observability: A strategic approach to selective log routing in Red Hat OpenShift,
• Openshift ARO: Configuring Alert Manager and Remote Write with PVC,
• Solve multi-controller contention with Red Hat OpenShift networking,
• Building Custom Ansible EE For Automating OpenShift Tasks,
• Automating OpenShift Virtual Machine Creation with Ansible: From Zero to Running VM,
• From GitHub to Live App: Mastering OpenShift Source-to-Image (S2I) with Python,
• Deploying MySQL Router on OpenShift with a 3-Node MySQL InnoDB Cluster on OpenShift Virtualization,
• Deploying to OpenShift with Azure DevOps Pipelines and Releases: A Complete Guide,
• Installing Harbor on OpenShift Without CLI — A Complete Guide with Real-World Troubleshooting,
• Configuring Elastic Kubernetes Integration on OpenShift: Endpoint Adjustments,
• Deploying Fleet-Managed Elastic Agent DaemonSet on OpenShift,
• The economics of Red Hat OpenShift 4.21: Why infrastructure is now a financial strategy,
• Red Hat OpenShift 4.21: Smarter scaling, faster migration, and AI-powered efficiency,
• Breaking the RAG bottleneck: Scalable document processing with Ray Data and Docling,
• Eval-driven development: Build and evaluate reliable AI agents,
• Upgrade Advanced Cluster Management hubs without disruption,
• Integrate Red Hat Advanced Cluster Management with Argo CD,
• Evaluate OpenShift cluster health with the cluster observability operator,
• Run Model-as-a-Service for multiple LLMs on OpenShift,
• Stop searching, start operating: Scale hybrid clusters with Red Hat Advanced Cluster Management for Kubernetes 2.16,
• Streamline your work with the new learning drawer in the migration toolkit for virtualization,
• SAS Viya Platform with Red Hat OpenShift – Part 1: Reference Architecture and Deployment Considerations,
• SAS Viya Platform with Red Hat OpenShift – Part 2: Security and Storage Considerations,
• Dynamic resource allocation goes GA in Red Hat OpenShift 4.21: Smarter GPU scheduling for AI workloads,
• Getting started with the vLLM Semantic Router project’s Athena release: Optimize your tokens for agentic AI,

Containers:

• Podman Desktop 1.26 Release,

Service Mesh:

• Introducing OpenShift Service Mesh 3.3 with post-quantum cryptography,

RHEL:

• Operationalizing “Bring Your Own Agent” on Red Hat AI, the OpenClaw edition,
• Accelerate enterprise software development with NVIDIA and Model-as-a-Service (MaaS) on Red Hat AI,
• Bringing Nemotron models to the Red Hat AI Factory with NVIDIA,
• Building the hybrid AI factory of the future: Red Hat achieves AI Cloud Ready status for the NVIDIA Cloud Partner (NCP) program,
• Red Hat and NVIDIA collaborate for a more secure foundation for the agent-ready workforce,
• Unlocking UBI to Red Hat Enterprise Linux container images,
• The efficient enterprise: Scaling intelligence with Mixture of Experts,
• Announcing Ansible Automation Platform 2.4 end of Maintenance Support,
• AlmaLinux goes RISC-V: Kitten 10 now available for riscv64,
• Beyond the move: Introducing the Virtualization Migration Assessment Expanded,
• Get the most out of Red Hat Enterprise Linux for AWS,
• Get the most out of Red Hat Enterprise Linux for Microsoft Azure,
• Why I Prefer CentOS Stream Over Old CentOS,
• The state of cloud-native security 2026: Maturity gaps and the automation mandate,
• Why we’re contributing llm-d to the CNCF: Standardizing the future of AI,
• Red Hat Enterprise Linux is ready for AWS M9g instances, powered by Graviton5,
• How to run a Red Hat-powered local AI audio transcription,

Miscellaneous:

• We Benchmarked Arc Against Every Major Log Database,
• Why Arc is AGPL: Our License, Our Intentions, Day One,
• LLM Compressor v0.10: Faster compression with distributed GPTQ,
• CrackArmor: Multiple vulnerabilities in AppArmor,
• Find out which AI models your machine can actually run,
• Fedora Asahi Remix 43 is now available,
• Nvidia_greenboost: a kernel module that transparently extends NVIDIA VRAM by utilizing system RAM and NVMe storage,
• From experiment to production: A reliable architecture for version-controlled MLOps,
• What does “AI security” mean and why does it matter to your business?
• Using AI to create some hardware tools and bring back the past,
• Mapping the AI attack surface: Vulnerabilities in the model lifecycle.