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:
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.
OpenShift:
- Add NeMo Guardrails to a LangGraph agent on OpenShift AI,
- Why your non-root container dropped its capabilities (and how to fix it),
- From AI pilots to production: How DH2i and Red Hat help customers run resilient, security-focused AI on Red Hat OpenShift,
- Declarative clusters: GitOps deployment of hosted control planes on Red Hat OpenShift Virtualization,
- How IdeaBot drives AI innovation workflows on OpenShift,
- Migration toolkit for applications 8.3: Agentic code modernization, PVC mobility, and out-of-the-box generators,
- Egress network quality of service on Red Hat OpenShift,
- Actionable disconnected cluster analysis, available now with Pen Drive powered by Red Hat Lightspeed,
- Build a multi-tenant platform with OpenShift Dev Spaces,
- Scale enterprise analytics by running Cloudera Data Platform with OpenShift Virtualization,
- Build an AI matching engine with Docling, Granite & OpenShift AI,
Containers:
RHEL:
- MLOps for edge AI: Preparing AI models for deployment at the edge,
- Building zero trust networks with Red Hat Ansible,
- Rossoctl for agent discoverability, security, and observability on Kubernetes,
- How Red Hat’s support AI assistant contributes to accelerating enterprise support,
- Red Hat OpenShift: Enabling a resilient 5G autonomous edge for Telenor with AxyomCore,
- Atomic AlmaLinux moves to the latest bootc tooling,
- Manage RHEL with MCP servers and Red Hat Lightspeed,
- MLOps at the edge: Running AI models at the edge,
- Using on-premise Red Hat Lightspeed capabilities to monitor vulnerabilities and apply advisor remediations,
- Developer-first innovation: Reducing technical debt with Red Hat Enterprise Linux,
Miscellaneous:
Kubernetes:
OpenShift:
- Extend OpenShift Lightspeed with Red Hat Satellite, MCP, and BYOK,
- AutoRAG pipeline optimization in Red Hat OpenShift AI,
- Build OpenJDK container images locally using the standalone S2I tool,
- The playbook behind Red Hat’s most successful OpenShift deployments,
- Scaling GitOps: The “pull” architecture for global fleets,
- Build golden path CI/CD workflows in Red Hat Developer Hub,
- Microsoft Azure Red Hat OpenShift for Microsoft Azure Government Achieves IL5 Certification,
- How to rank fraud detection models using custom cost metrics,
- Distributed training on OpenShift AI 3.4 with Kubeflow Trainer v2,
- Red Hat delivers peak performance on Kubernetes and CPUs in MLPerf Inference v6.1,
- Migrate virtual machines with Red Hat OpenStack Services on OpenShift,
- Beyond pass or fail: The new era of chaos engineering,
- GPU virtualization at scale: AMD MI300X SR-IOV on Red Hat OpenStack Services on OpenShift,
- Smarter GPU sharing: How Red Hat build of Kueue works with dynamic resource allocation,
- Kube AuthKit: Unified Kubernetes and OpenShift auth in Python,
- Benchmarking AI decision models against traditional guardrails,
- RHCOS 10 – Red Hat’s new worker node OS for OpenShift,
- Whose CVE is it anyway?
- Self-Service Without cluster-admin: Proving Your Tenants Can’t Escalate on OpenShift,
- OKD Now Has Its Own Update Service: Announcing OKD Cincinnati,
- Mastering Multihomed Virtual Machines in OpenShift Virtualization (CNV): A Step-by-Step Guide,
- Your Logs Are in S3, But You Can’t Read Them There: Multi-Tenant Logging on LokiStack with IRSA,
- Shipping Kasten K10 Logs to Graylog Across Clusters,
- Load-Aware VM Rebalancing on a Disconnected OpenShift Cluster,
- Veeam KubeVirt Proxy (VKP): Closing the Day‑1 gap for OpenShift Virtualization VMs,
- One System: AI, VMs, Containers, DR, Multi-Cluster. IBM Fusion HCI 2.14 Redefines What an HCI Platform Can Be,
- Observability on Kubernetes with OpenTelemetry, Camel and Quarkus,
- Bridging Virtual Machines in OpenShift: How CoreDNS Powers VM-to-VM Networking,
Containers:
RHEL:
- Evolving your automation (Pt. 2): Architectural decisions for upgrading to Red Hat Ansible Automation Platform 2.7,
- Breaking the AI productivity paradox: an intelligent migration factory to modernize infrastructure and applications,
- From incident insight to governed action with LogicMonitor Edwin AI and Red Hat Ansible Automation Platform,
- Bringing enterprise Linux to the robotics frontier: ROS2 adds Red Hat Enterprise Linux as a tier-1 supported platform,
- Automate security risk management across enterprise IT operations,
- Self-encrypting VM images for confidential environments hands on,
- Managing edge solutions with Red Hat: A layered approach,
- Red Hat Enterprise Linux 10 STIG automation now matches DISA STIG V1R2,
- Securing AI agents requires securing the systems around them,
- Why Red Hat is building secure agent onboarding,
- Run decision models on vLLM and Red Hat AI using DiffusionGemma,
- Upgrading to Red Hat JBoss Web Server 7: Key changes & impacts,
- Benchmarking enterprise LLMs on AMD GPUs with Red Hat AI Inference and Podman,
- How we cut CI failure triage from hours to minutes using AI,
- Red team your AI model with garak,
- Backdoors in LLMs: Why model scanning isn’t enough,
- Building an AI-powered multimodal compliance monitor: From training to tracking to chat,
- Stay ahead of change: Proactive email reports for Red Hat Lightspeed planning for RHEL,
Miscellaneous:
Kubernetes:
OpenShift:
- Closing the loop: From network policy intent to verified reality,
- Build a compliance assistant with AutoRAG and Red Hat OpenShift AI,
- Bringing custom knowledge to agents with AutoRAG,
- PostgreSQL Backup to S3 on OpenShift HCP, with Zero Static Credentials,
- Your NetworkPolicies Don’t Stop Data Exfiltration. Here’s the OVN Kubernetes Stack That Does,
- AutoRAG advances in Red Hat OpenShift AI 3.5,
- From fine-tuned model to cheaper and faster inference: Speculator training on Red Hat OpenShift AI with Kubeflow,
- Opening the black box: Profiling a secured agentic pipeline on Red Hat OpenShift AI,
- Azure Red Hat OpenShift with hosted control planes is now available in public preview,
- Constraining AI agents with Red Hat AI: Containment, identity, and governance,
- Sovereign AI and data services with Duality and Red Hat,
- Build a unified CI/CD control plane with Red Hat Developer Hub,
- Scaling enterprise AI fleets with Alquimia and Red Hat OpenShift AI,
- What did AI cost you this quarter?
- Matching OpenShift edge topologies to your physical footprint,
- Red Hat OpenShift networking: Default OVN-Kubernetes vs. Cilium operator,
- Beyond OCR: Achieving 98% billing accuracy with GroundX and Red Hat OpenShift AI,
- Scaling localnet user-defined networks (CUDNs) in Red Hat OpenShift to 3,500 networks,
- Comparison of Cluster Autoscaler and KEDA MachineSet Autoscaling on Red Hat OpenShift,
- 2026 update: The road to quantum-safe cryptography in Red Hat OpenShift,
- Building a Production-Ready Single Node OpenShift (SNO) Cluster: A Hands-On Guide,
- Home Lab on OCI’s Free Tier,
- OCI HomeLab, Part 2: Building Was Only the Beginning,
- Getting OpenCost Running on OpenShift,
- OKD 5.0 Release Notes,
RHEL:
- Insights-client updates standardize RHEL package management,
- Red Hat Puts Safety and Observability at the Core of Enterprise AI with Red Hat AI 3.5,
- Red Hat edge platforms: Choosing the right one for your use case,
- Unlock a LUKS root over SSH on Fedora and Red Hat Enterprise Linux,
- Closing the AIOps loop with Splunk Observability Cloud and Red Hat Ansible Automation Platform,
- 5 reasons why your Lightwell strategy needs more than just patches,
- Python 3.14 free-threaded build is now available in RHEL,
- From bare metal to diverse AI revenue streams: Navigating the GPU cloud platform challenge,
- Modernizing Microsoft SQL Server: Choosing the right path with Red Hat,
- Your AI agent doesn’t know your organization’s rules. Your developer portal does,
- The datacenter myth: Why sovereign AI demands a tenancy model, not just geography,
- Why your Kafka topic ignores retention.ms (and how to fix it),
- Red Hat and ACI deliver innovation in payments modernization, flexibility, and efficiency,
- Stop rewriting stable code: How Lightwell protects your bottom line and developer velocity,
- Red Hat named a Leader in the 2026 Gartner® Magic Quadrant™ for Server Virtualization Platforms,
- From hours to minutes: Optimizing Red Hat Developer Hub performance testing with immutable LDAP images,
- AI threat modeling shouldn’t be a bottleneck, so we open sourced ours,
- Turning security complexity into useful intelligence: What’s new in Red Hat Lightspeed,
Miscellaneous:
Kubernetes:
OpenShift:
- AI-powered multicluster management: Querying fleet health with OpenShift Lightspeed and Red Hat Advanced Cluster Management,
- Red Hat OpenShift autoscaling using MachineSet autoscaler with KEDA,
- Developing LLM guardrail configs locally with NeMo Guardrails,
- Orchestrate production RAG with OpenShift AI,
- Automate AI red teaming: Large language model risk identification and mitigation,
- LoRA backdoor threat: How OpenShift AI mitigates the risk,
- Extend Layer 2 networks into Red Hat OpenShift Virtualization with BGP and EVPN,
- Evaluate AI agents with IBM CLEAR & EvalHub on OpenShift AI,
- Configure admission fair sharing in Red Hat build of Kueue 1.4,
- Reference architecture for HA scanning with Red Hat Advanced Cluster Security for Kubernetes,
- ROSA HCP with Terraform: From Zero to a Running Cluster,
- Model training on AWS with Trainium and Inferentia chips with OpenShift AI,
- Red Hat Cert-Manager with Custom CA,
- Red Hat Cert Manager: Certificates with Let’s Encrypt,
- Application SLOs and Multi-Burn-Rate Alerting on OpenShift HCP,
- Introducing the external secrets management console plug-in,
- NVIDIA BlueField security and acceleration arrive on the Red Hat AI Factory with NVIDIA and Red Hat OpenShift,
- Personalize your product’s text-to-speech voice for any language: Fine-tuning with Kubeflow Trainer on Red Hat OpenShift AI,
- Beyond container boundaries: Kernel-level agent security in Red Hat OpenShift AI 3.5,
- Deploy NeMo Guardrails on Red Hat OpenShift AI,
Containers:
RHEL:
- Why the virtualization decision keeps getting deferred,
- Red Hat Satellite 6.20 limited availability: Early access registration now open,
- Build AI-assisted firewall workflows with Ansible Automation Platform,
- When hardware lead times stall your roadmap: How Red Hat OpenShift cloud services keep projects moving,
- From incident to remediation: Building an AI-driven AIOps workflow with Red Hat Ansible Automation Platform,
- Red Hat Developer Hub software template authoring with rhdh-templates,
- AlmaLinux 10.3 Beta Now Available!
- Better together: RHEL system roles and Red Hat Ansible Automation Platform,
- Red Hat named a Leader in the 2026 Gartner® Magic Quadrant™ for Container Management for the fourth consecutive year,
- Red Hat AI 3.5: Scaling and governing AI agents in production,
- Accelerating post-quantum security migration with Red Hat Certificate System,
- Rafay and Red Hat publish joint reference architecture for sovereign AI cloud as a service,
Miscellaneous:
- LLM quantization guide: How to do it, and how it helps,
- Evaluating LLM guardrail configs locally with EvalHub,
- Speeding up LLM inference with P-EAGLE in vLLM Speculators,
- BTRFS boot failure and easy GUI methods for system recovery,
- Understanding W8A8 INT8 LLM quantization: Half the size, better performance, same accuracy,
- Why faster coding isn’t making delivery any faster,
- Framework Laptop 12 Arrives with Fedora Pre-installed,
- Optimize vLLM speculative decoding with FastMTP heads,
- The context wall: What happens when your AI agent hits the GPU memory ceiling.
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:
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