• 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:

• Podman Desktop 1.30 Release,
• Installing Navidrome on Fedora Linux using Podman,
• From zero to benchmark: Deploying LLM inference on CPUs with Red Hat AI Inference,
• Use Paicku to containerize and test any app with buildpacks and Node.js,

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:

• Installing Fedora 45 on Stratis storage,
• A measured look at AI efficiency in open source development,
• How AI is defining the ‘new’ architect.

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

• How I massively improved my AI inference performance without buying new hardware,
• CKNE Certification: Exam Overview and Kubernetes Networking Preparation,
• Mastering Microservices Traffic with Apache APISIX: Installation, Routing, Rate Limiting, and Security Architecture,
• Running a Local NTP Server on RKE2 (and Pointing Every Client at It),

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:

• Why CAP_SYS_PTRACE is worse than CAP_SYS_ADMIN,

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:

• Data liberation: Apache Kafka’s native cluster mirroring,
• VEX-Bench: a benchmark for evaluating LLM agents on software supply chain vulnerability triage,
• Master your skills: Building skills you can trust,
• What enterprises need to know about the Cyber Resilience Act and software supply chain risk,
• What enterprises need to know about the software they depend on.

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

• Enforced Admission Control Policy Using Gatekeeper,
• Reducing Pod Startup Times – Part 1: Running an Image Pool,

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:

• From token consumer to token provider: Building your org’s AI API,
• Understanding W8A8 INT8 LLM quantization: Accuracy and performance results,
• Achieving data sovereignty for SaaS with confidential containers and quantum-safe networking,
• Fedora 45 Beta now available,
• Catching poor LLM performance and accuracy before deployment,
• Smart enough, fast enough: Choosing the right models for agentic work.

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

• Stop wasting GPU allocation in Kubernetes with GPU-pruner,
• Validate with Cluster Readiness Engine,

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:

• Rootless Podman: Preserving Source IPs,
• Podman: from Docker networks to pods, kube play, and going rootless,
• Use a local and open source code assistant,

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.

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

• 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.

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• 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.

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