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Curated Kubernetes content from AKS, EKS, GKE, OpenShift, Rancher/K3s and more—auto‑aggregated daily.
- 2026-03-04CNCF
Scaling organizational structure with Meshery’s expanding ecosystem
Rationale for Repository Partitioning Project architecture Modularity and focus Project scalability Community engagement Governance Structure Core Platform ( github. com/meshery ) Extensions ( github.
#cncf - 2026-03-04Redhat Blog
New observability features in Red Hat OpenShift 4.21 and Red Hat Advanced Cluster Management for Kubernetes 2.16
New observability features in Red Hat OpenShift 4.21 and Red Hat Advanced Cluster Management for Kubernetes 2.16 Cluster observability operator 1.4 Customizable dashboards with Red Hat build of Perses (technology preview) AI trace summarizer (developer preview) OpenShift monitoring Performance and standards OpenTelemetry integration Operational reliability Conclusion OpenShift logging Enhanced flexibility for Loki persistent volumes OpenTelemetry (OTLP) log export for advanced correlation Support for alternative authentication gateways OpenTelemetry and tracing New observability features in Red Hat Advanced Cluster Management for Kubernetes Right-sizing recommendations (generally available) Start exploring Red Hat OpenShift Container Platform | Product Trial About the authors Roger Florén Jamie Parker Vanessa Martini Eric Evans Simon Herlofsson More like this Metrics that matter: How to prove the business value of DevEx Extend trust across the software supply chain with Red Hat trusted libraries Ready to Commit | Command Line Heroes The Fractious Front End | Compiler: Stack/Unstuck Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share The latest updates to Red Hat OpenShift bring significant enhancements to monitoring and troubleshooting directly within OpenShift. Red Hat OpenShift observability has evolved into a highly integrated ecosystem that combines metrics, logs, traces, and network telemetry into a single experience.
#kubernetes - 2026-03-04Redhat Blog
Open data and the AI resilience premium
Open data and the AI resilience premium The shift toward open collaboration Case study: The Catena-X network The battery passport Driving AI integrity The path forward The adaptable enterprise: Why AI readiness is disruption readiness About the author Adam Wealand More like this Why the future of AI depends on a portable, open PyTorch ecosystem How does real-world AI deliver value? The Ask Red Hat example Technically Speaking | Build a production-ready AI toolbox Technically Speaking | Platform engineering for AI agents Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share For many large companies, AI is on every agenda, yet many leaders are still trying to make sense of what to do next. A big reason for this uncertainty is that huge amounts of data are still locked away in separate departments or stuck in systems that don't talk to each other, making it hard to turn that data into real value.
#kubernetes - 2026-03-03VMware Cloud Foundation Blog
Network Observability by Broadcom: End-to-End Visibility for Modern Distributed Applications
What’s next in the series Links Mentioned The Virtually Speaking Podcast Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Building the Foundation for Private AI: Why Data Sovereignty Matters Day 2 Operations for AI Blueprints in VCF Automation Announcing the General Availability of Holodeck 9.0.2 In this episode of the Virtually Speaking Advanced Services series, we take a closer look at Network Observability and how it helps organizations gain end-to-end visibility across hybrid and multi-cloud environments. John Nicholson and I are joined by Alec Pincman from Broadcom’s Network Observability group to talk about how traditional network monitoring has evolved, and why reactive tools like SNMP polling and pings are no longer enough for modern, distributed applications.
#vmware #cloud-foundation #kubernetes - 2026-03-03CNCF
How to Get the Most Out of KubeCon + CloudNativeCon Europe 2026
Part 1: Understanding the KubeCon landscape Co-located events (Monday) Keynotes Breakout sessions Solution Showcase and Project Pavilion ContribFest Networking nook Peer group mentorship Transition to part two 1. Build your schedule before you arrive 2.
#cncf - 2026-03-03VMware Cloud Foundation Blog
Using Harbor as an AI Model Registry
THE PROBLEM: WHY AI MODELS NEED A REGISTRY OCI ARTIFACTS: THE FOUNDATION What Is an OCI Artifact? The CNAI Model Spec Tools for Packaging Models as OCI Artifacts HOW HARBOR EVOLVED TO SUPPORT AI MODELS Harbor’s OCI Foundation The AI Model Journey The Architecture END-TO-END EXAMPLE: DOWNLOAD, CONVERT, PACKAGE, AND PUSH Prerequisites Step 1: Download the Model from Hugging Face Step 2: Convert to GGUF Format with llama. cpp Step 3: Package and Push the Model to Harbor Verifying in Harbor MODEL LIFECYCLE OPERATIONS IN HARBOR CONCLUSION Discover more from VMware Cloud Foundation (VCF) Blog Related Articles Implementing Cross-Region Replication with Harbor in VMware Cloud Foundation Securing Your Software Supply Chain with Harbor Using Harbor as a Proxy Cache for Cloud-Based Registries The container ecosystem solved software distribution decades ago: build an image, push it to a registry, pull it anywhere.
#vmware #cloud-foundation #kubernetes - 2026-03-03Digital Ocean
How DigitalOcean’s Agentic Inference Cloud powered by NVIDIA GPUs Achieved 67% Lower Inference Costs for Workato
How DigitalOcean’s Agentic Inference Cloud powered by NVIDIA GPUs Achieved 67% Lower Inference Costs for Workato How LLMs Process Requests and Why It Gets Expensive at Scale How KV-Aware Routing Addresses the Problem NVIDIA Dynamo with DOKS: The Orchestration Brain for KV-Aware Routing Inference Stack Architecture The Two Configurations Tested Configuration 1: No KV-Aware Routing Configuration 2: KV-Aware Routing Tuning TTFT: Prefill Cost & KV Reuse TPOT / ITL: Decode Load Balancing QPS & Token Throughput: GPU Utilization Conclusion About the author(s) Related Articles DigitalOcean Gradient™ AI GPU Droplets Optimized for Inference: Increasing Throughput at Lower the Cost LLM Inference Benchmarking - Measure What Matters Technical Deep Dive: How we Created a Security-hardened 1-Click Deploy OpenClaw By Rithish Ramesh , Karnik Modi , Piyush Srivastava , and Tim Kim Updated: March 4, 2026 11 min read Workato’s AI Research Lab is focused on helping customers extend their production automation with agentic AI capabilities, systems that can reason, act, and orchestrate work across the business. At Workato’s scale, processing 1 trillion automated workloads, LLM inference efficiency is a hard requirement: every millisecond of latency and every wasted GPU cycle directly impacts cost, throughput, and reliability.
#kubernetes - 2026-03-03Nirmata Blog
AI Bots Are Now Exploiting Your Automation — And Kubernetes Is Next
What just changed: compromise without merge When AI attacked AI — and lost Why this maps directly to Kubernetes risk Admission control becomes a must-have (not “nice to have”) The minimum “Bot-Resistant Kubernetes” guardrails pack 1) Stop the foothold from becoming a privileged workload 2) Contain the blast radius on identity 3) Enforce supply chain hygiene at the point of deployment 4) Make exfiltration structurally harder Operationalizing: audit → warn → enforce The missing control plane that prevents automated attacks A practical takeaway Last week, an autonomous bot called hackerbot-claw — describing itself as “an autonomous security research agent powered by claude-opus-4-5” — spent seven days systematically attacking CI/CD pipelines across major open source repositories. It targeted seven projects belonging to Microsoft, DataDog, Aqua Security, and multiple CNCF members.
#nirmata #kubernetes - 2026-03-03OpenShift Blog
Before starting a Virtualization Migration Assessment: A readiness framework for a successful outcome
Before starting a Virtualization Migration Assessment: A readiness framework for a successful outcome 1. Navigate infrastructure complexity 2.
#openshift - 2026-03-03Redhat Blog
Simplifying Windows Licensing with OpenShift Virtualization on ROSA
Simplifying Windows Licensing with OpenShift Virtualization on ROSA Addressing Windows licensing complexity Learn more 15 reasons to adopt Red Hat OpenShift Virtualization About the authors Courtney Grosch Aaren de Jong More like this General Availability for managed identity and workload identity on Microsoft Azure Red Hat OpenShift FedRAMP High Authorized Red Hat OpenShift Service on AWS GovCloud SREs on a plane | Technically Speaking Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share As organizations modernize their IT environments, Windows workloads continue to play a critical role across business operations. At the same time, licensing complexity and operational overhead are driving teams to evaluate more flexible and cost-effective paths to the cloud.
#kubernetes