Kubernetes:
- Your Helm Tests Are Green. That Doesn’t Mean They’re Testing Anything,
- One Agent, Three Ways: Running Elastic Agent on Kubernetes!
- Migrating a Bitnami PostgreSQL Helm Release to CloudNativePG,
- Building and Pushing Container Images with Tekton Pipelines, Buildah, and Docker Hub,
- Too Long, Didn’t Apply: Server-Side Apply for Oversized CRDs in Argo CD ApplicationSets,
- Manually Initializing and Unsealing HashiCorp Vault on Kubernetes,
- Building a KubeVirt Lab with Rook-Ceph on Bare-Metal Kubernetes,
OpenShift:
- Simplify hybrid cloud ops with Red Hat OpenShift Lightspeed: 5 sets of prompts to try today,
- Architecting the Red Hat OpenShift AI dashboard for Models-as-a-Service,
- Stop paying for the same prompt: Optimize AI costs with Redis on Red Hat OpenShift,
- From experiment to production: A reliable architecture for version-controlled MLOps,
- Red Hat Ansible development workspaces for governed automation content creation,
- From fragmented to flawless: Unifying the AI development lifecycle,
- Improved failure reports on Red Hat OpenShift with the event-driven diagnostic operator,
- Run LoRA fine-tuning on Red Hat OpenShift AI with Ray,
- Passwordless workload identity on OpenShift,
- We built an enterprise data agent—and you can too,
- Red Hat OpenShift autoscaling with Cluster Autoscaler,
- Automating Red Hat OpenShift AI installations with Helm and GitOps,
- How AI observability works with MLflow,
- Modernizing database workloads on Red Hat OpenShift,
- Building hermetic notebook images for Open Data Hub and Red Hat OpenShift AI,
- Self-service backup for VMs and containers on OpenShift: No cluster-admin required,
- Upgrading Single Node OpenShift with Image-Based Upgrade,
- Automating OpenShift
oc-mirror v2 with Ansible,
- Building a Small OpenShift BGP Lab,
- Optimizing Cloud-Native Operations Series — Mini HowTo— External PostgreSQL for AAP on OpenShift (Operator),
Containers:
RHEL:
Miscellaneous:
- Securing Claude Code plug-ins: Best practices for repository security,
- The tokenomics of self-hosted LLMs,:
- Auditing behavioral compliance: validating AI agent capabilities with AgentTrust,
- Enterprise AI model selection: Balancing performance, privacy, and operational fit,
- Beyond benchmarks: The 5 pillars of AI evaluation systems,
- How AI inference works, clearly explained,
- Taming the agent beast: From monolithic prompt to modular agentic workflow,
- Beyond guardrails: mitigating prompt injection attacks.
Kubernetes:
OpenShift:
- Use EVPN in Red Hat OpenShift 4.22 to integrate production networks across Kubernetes cluster boundaries,
- Curing alert fatigue: How embedded AI is redefining Red Hat OpenShift cluster troubleshooting,
- ocplab 1.1.0 – A new way to deploy Openshift on AWS using UPI method,
- Evolving beyond the .env file: Frictionless AI Tooling with OpenShift Dev Spaces,
- Quit Shifting Left: Pipelines as a Service,
- Authenticating on-prem OpenShift applications to AWS: certificates, tokens, or Vault,
- Managing virtual machines on Red Hat OpenShift with Service Mesh,
- Stop burning your AI budget: Optimize GPU usage and model deployment with workflow navigator,
- Upgrade OpenShift AI faster using an AI coding assistant,
- Beyond the hypervisor: How a service provider migrated thousands of workloads to a unified application platform,
- Extend zero trust workload identity manager to virtual machines with Red Hat OpenShift Virtualization,
- How to check if your model is supported by vLLM in Red Hat AI,
- Replace LLM infrastructure guesswork with data-driven planning,
- Manage bare metal like a cloud with Red Hat Bare-Metal-as-a-Service for OpenShift,
- Introducing the Red Hat OpenShift Virtualization incident must-gather,
- Developer experience improvements you can apply to your own projects,
- Integrating Azure Red Hat OpenShift with Red Hat Cost Management,
- How to Change DNS Resolver in an OpenShift Cluster,
- When Your OpenShift ClusterLogForwarder Works — but the Console Says It Doesn’t,
- Kubernetes chaos engineering at scale: Krkn Operator Developer Preview in Red Hat Advanced Cluster Management,
Containers:
Service Mesh:
RHEL:
- Red Hat Enterprise Linux runner images now in public preview for GitHub Actions,
- Provisioning image mode for Red Hat Enterprise Linux using Red Hat Satellite,
- Deploying Red Hat AI with the NVIDIA DSX™ Platform for scalable AI clouds,
- MiDojo: Improve AI agent security with real-world red-teaming,
- The hidden complexity of AI inference systems,
- Just-in-time access to HashiCorp Vault using the Red Hat Ansible Automation Platform OIDC provider,
- Policy as code: What happens when you layer policy enforcement onto the automation you already have,
- Red Hat on FHIR: Why an informatics nerd joined Red Hat,
- Build a DIY pipeline for a trusted software supply chain,
- What is metal to agents? Navigating the architecture of enterprise AI,
- Installing and Running AAP Bridge in a Disconnected Environment: A Practical Field Guide,
Miscellaneous:
Kubernetes:
OpenShift:
- How we designed customizable dashboards in OpenShift,
- Enrich OpenShift compliance results with custom metadata,
- Build a distributed RAG pipeline with Ray Data on OpenShift AI,
- Red Hat Enterprise Linux CoreOS 10 is coming to Red Hat OpenShift,
- Performance analysis of storage live migration feature in Red Hat OpenShift Virtualization,
- Architecting for maintainability: Lessons from a global multicluster platform blueprint,
- Lights on! Real-time threat response with Red Hat Advanced Cluster Security,
- Optimize GPU efficiency with OpenShift AI and llm-d flow-control,
- Make every GPU-hour count: Progress tracking in Red Hat OpenShift AI,
- Announcing Red Hat OpenShift Platform Plus for Red Hat OpenShift Service on AWS on AWS Marketplace,
- OpenShift MCP Server Test Drive,
- I Couldn’t Find a Tool to Automate OpenShift UPI on AWS — So I Built One,
- Multitenant AI inference with dynamic resource allocation on OpenShift,
- Your Cluster Name Is Not Your Environment,
- The Guide to OpenBao – Kubernetes Integration – Part 10,
- What’s new in Red Hat OpenShift confidential computing and sandboxing,
Containers:
Service Mesh:
RHEL:
- Edge security at rest: Network-Bound Disk Encryption(NBDE) in practice,
- Building the future: Core concepts of Red Hat’s agentic software development life cycle,
- Mastering the AI era: Integrating frontier operations into your technology operating model,
- No time to lose: Why post-quantum security for financial services must start now,
- Just-in-time automated elevated access with Red Hat Ansible Automation Platform and ServiceNow ITSM,
- Firefox and Thunderbird as RHEL Flatpaks: What it means for you,
- Inference-time scaling on Red Hat AI: Improving model reliability,
- Same goals, different clocks: What Red Hat’s 2025 Risk Report reveals about global compliance gaps,
- Dynamic troubleshooting with guarded command execution in the MCP server for Red Hat Enterprise Linux,
- One kernel feature, 93% system throughput gone: A Red Hat Enterprise Linux 10.2 kernel regression and how to mitigate it,
- AutoRAG: Optimizing RAG for small models,
Miscellaneous:
- Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone,
- GhostLock, a stack-UAF that has existed in ALL Linux distributions for 15 years,
- You should self-host your mail server,
- How to use LVM with shared storage,
- Standardize project context with AGENTS.md and Agent Skills,
- OSFT explained: Prevent catastrophic forgetting in LLM fine-tuning,
- Substituting IP address evaluation with hardware-rooted sovereign zero trust,
- Building skills for AI agents: pitfalls and best practices for skill development,
- Introduction to Anthony, the voice-driven desktop,
- Behavioral testing for AI agents,
- Why self-hosted inference is essential: Building a reliable, sovereign inference layer,
- IPv4 address exhaustion drives NetworkManager 1.58 release,
- My Personal Mythos Moment,
- Introducing asago: Open source AI safety and governance orchestration.
Kubernetes:
OpenShift 4.22:
OpenShift:
- Red Hat Advanced Cluster Management 2.17: Less operational toil and more Kubernetes fleet control,
- Zero trust workload identity manager version 1.1 generally available on Red Hat OpenShift,
- Run Claude Code locally with vLLM and OpenShift AI,
- Red Hat build of Agent Sandbox: Isolated workload management with Kubernetes,
- Demystifying agentic AI: How to build production-ready AIOps with open source models,
- Two-node OpenShift with fencing improves reliability at the edge,
- How obs-mcp boosts AI-native OpenShift observability,
- Layered sandboxing for AI agents: OpenShift and OpenShell,
- Benchmark Red Hat Data Grid in OpenShift 4 using Hyperfoil,
- Introducing Red Hat build of Karpenter,
- Monitoring AAP 2.5+ on OpenShift, Part 3: From Failed Job to Root Cause,
- I Watched My LLM Router Leak 174 Sensitive Prompts — Here’s What Finally Stopped It (Part 3),
- Fixing
SignatureValidationFailed: Why OpenShift 4.21+ Disconnected Upgrades Fail Without Sigstore,
- Operationalize AI agents with OpenShift and Kubernetes primitives,
- Simplify GitOps workflows with MCP in OpenShift Lightspeed,
- Get a personal AI assistant on Red Hat Developer Sandbox with OpenClaw,
- Why your AI agent needs two sandboxes: Benchmark data,
- Optimize OpenShift workloads with software-defined memory,
- Migration toolkit for applications 8.2: Modernize your applications and clusters,
- Beyond the blind spots: Defeating frontier AI model threats in your application development process,
- Gain stronger pod isolation on Microsoft Azure Red Hat OpenShift with OpenShift sandboxed containers,
- Up and running with the StackRox MCP server,
- From Prompt to Production: Running Lovable Apps on OpenShift,
Containers:
Service Mesh:
RHEL:
- Efficiently manage host content with Red Hat Satellite’s multi-CV,
- Navigating AI vulnerability discovery and achieving operational resilience with automation,
- Simplify your performance monitoring with the pmlogger PUSH model,
- Verified boot in automotive with AutoSD,
- Moving from PoC to production: Delivering real business value with Red Hat AI 3.4,
- Microsoft 2011 Secure Boot certificates have expired — AlmaLinux users are covered!
- How Red Hat solves the toughest challenges in agentless infrastructure scanning,
- Interactive labs: Enterprise lab environments, ready in minutes at no cost,
- Agentic AI, Red Hat OpenShift, and NVIDIA: Shifting to precision security,
- Why your AI agent framework isn’t enough: 7 platform capabilities missing from production,
- Preparing for Q-day: Four steps to prepare your hybrid cloud today,
- Physical AI: When machines start to think and act in the real world,
- Push images to Quay without a password,
- Avoid operational drift with Red Hat Lightspeed content templates for RHEL extended environments,
- Why single AI agents fail at scale: Building governed multi-agent networks,
- Achieve high scalability using Red Hat Satellite Capsule Server,
Miscellaneous:
Kubernetes:
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:
Service Mesh:
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:
Kubernetes:
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:
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:
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:
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:
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:
OpenShift:
- The MCP catalog is here: Discover, deploy, and connect on Red Hat OpenShift AI,
- The three pillars of trust: The hardened OpenShift foundation,
- How EvalHub manages two-layer Kubernetes control planes,
- Build a zero trust AI pipeline with OpenShift and RHEL CVMs,
- Trusted software factory: Building trust in the agentic AI era,
- Who’s really calling? Securing agent-to-agent communication,
- Introducing AutoML and AutoRAG: Guided experience for AI engineers in Red Hat OpenShift AI,
- Scaling enterprise AI: Delivering Models-as-a-Service with Red Hat OpenShift AI 3.4,
- Discover the Red Hat OpenShift AI model catalog,
- Debugging image mode with Red Hat OpenShift 4.20: A practical guide,
- What GPU kernels mean for your distributed inference,
- Configure a split disk on OpenShift Container Platform,
- How to manage TLS certificates used by OpenShift GitOps operator,
- Preventing GPU waste: A guide to JIT checkpointing with Kubeflow Trainer on OpenShift AI,
- How to prevent AI inference stack silent failures,
- Protect data offloaded to GPU-accelerated environments with OpenShift sandboxed containers,
- Streamlining Red Hat OpenShift multicluster management with Red Hat Ansible Automation Platform,
- How to route external and local LLMs with Models-as-a-Service,
- OpenShift Audit Logs: Dropping and Pruning Logs with CLF,
- From GitHub to Instana: Auto-Instrumenting Python on OpenShift with Red Hat Build of OpenTelemetry,
- Observability on OpenShift: A Case Study with Red Hat OpenTelemetry and eBPF,
- [OCP4][Experimental] egressIP on secondary interface,
Containers:
Service Mesh:
RHEL:
- Red Hat AI Inference brings llm-d to any managed Kubernetes, starting with CoreWeave and Microsoft Azure,
- Red Hat Desktop brings Kubernetes-aligned development to the desktop,
- Red Hat Device Edge now available to run on NVIDIA Jetson Orin,
- Strengthening security and consistency in the cloud with Red Hat and HashiCorp,
- Supercharging local AI development with RHEL on NVIDIA DGX Spark,
- The path to zero trust: Bridging the gap between AI development and OpSec,
- Red Hat AI Factory with NVIDIA Expands Support for a New Class of Autonomous Agents in the Enterprise,
- Red Hat Establishes Ansible Automation Platform as the Trusted Execution Layer for IT Operations in an Agentic Era,
- Red Hat Extends Infrastructure Stability for Decades with Red Hat Enterprise Linux Long-Life Add-On,
- Red Hat Hardened Images Accelerates Cloud-Native Development and Zero-CVE Strategies,
- Red Hat partner ecosystem: A year of expanding choice for virtualized workloads on Red Hat OpenShift Virtualization,
- Virtualization in 2026: Building a platform for VMs, containers, and AI,
- Agentic AI demands a new infrastructure stack: AMD and Red Hat deliver,
- Deploy with confidence: Continuous integration and continuous delivery for agentic AI,
- SQL Server HA on RHEL: Meet Pacemaker HA Agent v2 (tech preview),
- Every layer counts: Defense in depth for AI agents with Red Hat AI,
- A decade of open innovation: Red Hat continues to scale the open hybrid cloud with Microsoft,
- Get a custom-made learning plan with Red Hat Guided Learning,
- ssh-keysign-pwn (CVE-2026-46333) Patches Released,
- AWS and Red Hat at Red Hat Summit 2026: Accelerating AI, innovation, and open source infrastructure,
- Red Hat Enterprise Linux 10.2 and 9.8 are here: The intelligent evolution of enterprise Linux,
- Red Hat Enterprise Linux 10.2 and 9.8: Top features for developers,
- Trust at every layer: How sealed images extend OS integrity from boot to runtime,
- Building trust through AI red teaming: Red Hat’s approach to testing model safety,
- Bringing Claude self-hosted sandboxes to OpenShell on Red Hat AI,
- Red Hat AI and OpenShell: Driving security-enhanced agent execution for enterprise AI,
Miscellaneous:
Kubernetes:
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:
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,
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