• 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:

• Podman 6.1.0: Volume Renaming, Machine Restarts, and a Long List of Bug Fixes,
• 5 Lessons Learned After 5 Million Downloads,
• Streamlining container security: Red Hat Hardened Images now supported in AWS InspectorScan API and ECR Basic scanning,
• Encrypted Persistent Storage for Peer Pods with the CAA CSI Block Driver,

RHEL:

• Build bootable image mode for Red Hat Enterprise Linux with image builder,
• How we built an AI agent for field associates with Red Hat AI,
• Evolving your automation (Pt.1): Why it’s worth upgrading to Red Hat Ansible Automation Platform 2.7,
• Accelerate automation with AI and the Ansible development tools MCP servers,
• Unify IT workflows at scale with the new automation orchestrator for Ansible Automation Platform,
• Preparing OpenStack for the post-quantum era: A systematic approach to crypto-agility,
• Try the Ansible playbook generation lab with Gemini and OpenAI,
• llm-d flow control: Priority queuing for shared GPU inference,
• Automating edge recovery: Minimizing unplanned downtime with Red Hat Edge,

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.

The post Recent technical articles & videos. appeared first on CertDepot.

• Trace Kubernetes resources for llm-d model serving,
• Who really built that? Supply-chain provenance for AI agent identity,
• How llm-d routes model inference traffic on Amazon EKS,
• The Argo CD Ownership Conflict — A kube-green Case Study,

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:

• Running Ollama Locally with Podman on Fedora Linux,
• Buildah version 1.45.0 Release Announcement,
• Podman Container Tools Grows,
• Harden local container base images in Podman Desktop,
• Sharing EROFS superblocks across container mounts,

Service Mesh:

• Kiali releases 2.16 to 2.30: Features update,

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:

• Testing modern hash table designs in OVN and OVS,
• AI agent observability: Building a production-grade operational layer,
• Switch OpenCode model presets based on directory,
• The AI layer of observability: Making telemetry human-readable,
• The CPU is back: Rethinking the CPU-GPU split for LLM inference,
• Camel Routes as AI Tools: Unified Tooling and MCP Server in Camel 4.22,
• Monitor Your Drive Health with Performance Co-Pilot on Fedora,
• Operationalizing agentic AI: The Day 0-2 blueprint for enterprise infrastructure,
• Three AI security mistakes that will haunt enterprises.

The post Latest technical articles & videos. appeared first on CertDepot.

• Web Application Firewall (WAF) for Kubernetes Gateways,
• A Highly Available Egress Gateway for Kubernetes with Cilium and kube-vip,

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:

• Podman Desktop 1.29 Release,
• Intel Mac support in Podman Desktop: What developers need to know,
• Stop patching and build a better WordPress stack with Red Hat Hardened Images,

Service Mesh:

• Namespace Isolation in Red Hat OpenShift Service Mesh 3.4: Full mTLS and a Controlled Exception,

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.

The post Recent technical articles & videos. appeared first on CertDepot.

• Consolidating to Cilium: Replacing kube-proxy, MetalLB, and ingress-nginx in Three Phases,
• Zero-Downtime IP Migration and DR Expansion on a Live MongoDB Replica Set,
• What 429 chaos experiments taught us about Kubernetes operator resilience,
• Models-as-a-Service (MaaS) governance: Managing AI access and token quotas,
• The State of Kubernetes fleet management 2026,
• Our Migration from OpenEBS to Longhorn,

OpenShift 4.22:

• OpenShift 4.22 Release Notes,
• How Red Hat OpenShift 4.22 impacts enterprise AI’s bottom line,
• Navigate AI and scale with Red Hat OpenShift 4.22,
• Storage processing accelerates VM migrations in the migration toolkit for virtualization 2.12,
• What’s new for developers in Red Hat OpenShift 4.22,
• Red Hat OpenShift 4.22: What dynamic plugin developers need to know,

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:

• Podman 6: New Dual-Purpose MSI Installer Explained,
• See your Docker containers inside Podman Desktop,
• OpenNotebook on your AMD GPU – just like NotebookLM, but sovereign,

Service Mesh:

• The hidden cost of observability sprawl,

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:

• Physical AI: Physical operations are broken, a new kind of intelligence is needed,
• Decoding TEEfail: A Cloud Security Reality Check,
• PyTorch distributed is changing and TorchComms is why,
• Computer use: How AI agents can automate almost anything,
• Architect an open blueprint for cloud-native AI agents,
• Why prompt-level guardrails aren’t enough: The platform security layers production agents need,
• Stop chunking tables: How we built an agentic GraphRAG for financial disclosures with Docling,
• Why is pytorch compile so fast?

The post Latest technical articles & videos. appeared first on CertDepot.

• 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.

The post Recent technical articles & videos. appeared first on CertDepot.

• 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.

The post Latest technical articles & videos. appeared first on CertDepot.

• 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.

The post Recent technical articles & videos. appeared first on CertDepot.

• 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.

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• Debugging an EKS Node with nsenter,
• Top 30 Argo CD Anti-Patterns to Avoid When Adopting Gitops,

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:

• Red Hat Hardened Images: Top 5 benefits for software developers,
• Reducing CVE fatigue with Red Hat Hardened Images and Anchore,
• Fun in the RUN instruction: Why container builds with distroless images can surprise you,
• Getting Started With Traefik & Podman,
• Simplify Authentication & Access Control Using OAuth2-Proxy,

Service Mesh:

• Closing the Gap: Bringing Sidecar-Level Tracing to Istio Ambient and Kiali,

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:

• Faster, cheaper, just as smart: Improving the economics of LLM inference with speculative decoding,
• How Fedora is responding to recent Kernel vulnerabilities,
• EvalHub: Because “looks good to me” isn’t a benchmark,
• What even is the harness in AI?
• Zero trust for AI agents: why delegation beats impersonation,
• Case study: Measuring energy efficiency on the x64 platform,
• MCP servers vs. skills: Choosing the right context for your AI,
• cgroups: From Chaos to Control.

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• 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.

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