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CNCF Expands Efforts to Run AI Inference Workloads on Kubernetes Clusters
CNCF and Red Hat unveil major AI milestones at KubeCon Europe 2026, including the llm-d framework contribution and stricter Kubernetes AI Requirements (KARs). Learn how v1.35 benchmarks like in-place pod resizing and ...
Mike Vizard | | AI agentic workloads, AICR, CNCF KubeCon Europe 2026, distributed AI inference, edge AI inference, in-place pod resizing, Jonathan Bryce CNCF, KAR v1.35, KRO project, Kube Resource Orchestrator, Kubernetes AI Conformance Program, Kubernetes AI Requirements, Kueue job queueing, llm-d framework, NVIDIA AI Cluster Runtime, PyTorch Foundation, Red Hat AI, Sovereign AI standards, vLLM extension, workload-aware scheduling
Kubernetes Release Cycles and Vendor Support Harbor Freedoms–and Sacrifices
Analysis of the "lag gap" between upstream Kubernetes releases and vendor GA availability, comparing release cadence, support windows, and lifecycle cost tradeoffs across hyperscalers, VMware VCF, and Red Hat OpenShift to guide ...
Jack Wallen | | AWS EKS, Azure AKS, cluster costs, cncf, compliance, DISA STIG, enterprise devops, enterprise Kubernetes, EOL, extended support fees, FedRAMP, FIPS, GA delay, GKE, hyperscalers, innovation velocity, kubernetes, lag gap, lifecycle support, platform choice, Red Hat OpenShift, release cadence, rollback, stability, support window, TCO, upgrade strategy, vendor support, virtualization, VMware VCF
Broadcom Extends Reach and Scope of Kubernetes Platform
Broadcom unveils major VKS updates at KubeCon Europe 2026, including F5, Kong, and Tigera integrations, the contribution of Velero to the CNCF, and support for Kubernetes 1.35. Explore how Broadcom is doubling ...
Mike Vizard | | AppArmor profile management, Broadcom cloud-native strategy, Broadcom KubeCon Europe 2026, Container Network Interface, Declarative TuneD profiles, enterprise Kubernetes isolation, F5 Kong Tigera integration, KubeCon Amsterdam 2026, Kubernetes 1.35 VKS, Kubernetes on VMs, nftables kube-proxy, node-level firewall API, Prashanth Shenoy Broadcom, RHEL 9 Kubernetes, Velero backup recovery, Velero CNCF contribution, VKS support bundles, VMware licensing 2026, VMware VKS updates, vSphere Kubernetes Service CNI
RapidFort Nutanix Collaboration Speeds Compliant Kubernetes for AI Workloads
RapidFort and Nutanix have partnered to integrate automated supply chain security into the Nutanix Kubernetes Platform (NKP). This collaboration enables enterprises to deploy hardened, near-zero CVE container images at scale, accelerating compliance ...
Adrian Bridgwater | | Automated Vulnerability Remediation, Cloud-Native Compliance, container hardening, Cryptographic Provenance, DevSecOps automation, Hybrid Multicloud Security, Infrastructure Ruggedization, KubeCon Amsterdam 2026, Kubernetes at Scale, Minimalist Container Templates, Near-Zero CVE Images, Secure-by-Design Posture, software supply chain security, Sovereign AI Security
The New Multi-Tenant Challenge: Securing AI Agents in Cloud-Native Infrastructure
AI agents run untrusted code. Here’s how to secure them using isolation, least privilege and proven cloud-native patterns ...
Making Kubernetes Cost Governance Practical for DevOps TeamsÂ
Kubernetes has revolutionized application scaling, but it has also made cloud spend harder to track. Discover how the convergence of DevOps and FinOps is solving the Kubernetes cost crisis through automated allocation, ...
Joe Dahlquist | | automated cloud governance, Cloud Budgeting for Engineers, cloud cost management, cloud financial management, Cloud Instance Optimization, Cloud Spend Visibility, Cluster Cost Allocation, Container Cost Tracking, DevOps FinOps Collaboration, DevOps Workflows, FinOps Maturity Model, Infrastructure as Code Cost, Kubernetes Autoscaling Efficiency, Kubernetes FinOps, Kubernetes governance, Kubernetes Resource Optimization, Kubernetes Scalability Costs, Namespace Cost Mapping, Resource Request Tuning, Shared Cluster Overheads
Netflix Found a Faster Way to Load Containers
The initial appeal with containers was hardware-agnosticism. What runs on your machine runs on production, as long as both ran on x86 CPUs. This interoperability is a big factor in scalability of ...
The Ultimate Guide to GPU Scaling With Karpenter
Karpenter GPU scaling on Amazon EKS: avoid common mistakes, optimize Spot capacity, reduce cold starts and improve utilization for AI workloads ...
Why Your Kubernetes Network is Still a Black Box — And How to Fix It
Kubernetes networking failures are hard to diagnose. Learn how eBPF and Microsoft Retina provide real-time network observability across your cluster ...
Pod Requests Are the Input to Every Kubernetes Cost Control Loop
Pod CPU and memory requests drive Kubernetes scheduling, autoscaling and cost allocation. Learn why rightsizing them improves cost control ...

