Kubernetes
Build Cost Awareness Into Your Kubernetes IDP
How platform teams can make cost efficiency a natural outcome of following the golden path — not a billing surprise discovered three weeks after deployment ...
KubeVirt Update Adds Support for Additional Backend Hypervisors
KubeVirt v1.8 debuted at KubeCon Europe 2026, introducing a Hypervisor Abstraction Layer for multi-hypervisor support. Discover new features like Intel TDX for confidential computing, PCIe NUMA for AI workloads, and the 'passt' ...
Mike Vizard | | CNCF incubating projects, ContainerPath volume, Hypervisor Abstraction Layer, incremental backup KubeVirt, Intel TDX Attestation, KubeCon Europe 2026, Kubernetes 1.35 support, KubeVirt AI applications, KubeVirt multi-hypervisor support, KubeVirt v1.8, KVM on Kubernetes, passt binding KubeVirt, PCIe NUMA Kubernetes, Ryan Hallisey NVIDIA, software-defined infrastructure 2026, virt-controller scalability, virtual machine isolation, vLLM KubeVirt
Zero-Trust on OKE: How to Actually Secure Your Clusters With Terraform
Secure your OKE production clusters on Oracle Cloud (OCI). Learn how to use Terraform to implement VCN-Native CNI, private API endpoints, AMD SEV memory encryption, and OCI Workload Identity for a zero-trust ...
Pavan Madduri | | AMD SEV OCI, cloud-native isolation, Confidential Computing Kubernetes, infrastructure as code security, Kubernetes compliance OCI, Kubernetes Secrets best practices, micro-segmentation OKE, OCI Bastion Service, OCI IAM policy Kubernetes, OCI Network Security Groups pods, OCI VCN routing, OCI VCN-Native CNI, OCI Workload Identity, OKE 2026 security., OKE Enhanced Cluster, OKE node pool Terraform, OKE Terraform guide, Oracle Kubernetes Engine security, Private Kubernetes API Server, Shielded Instances OCI
CNCF Revamps Certification Program to Simplify Renewals
CNCF announces the CARE initiative at KubeCon Europe 2026, simplifying Kubernetes recertification. Learn how advanced CKA/CKS exams now automatically renew foundational KCNA/KCSA credentials, and why AI is shifting the role of IT ...
Mike Vizard | | AI agent supervision, CARE Program CNCF, Christophe Sauthier, CKA recertification, CKS recertification, cloud native professional development, Cloud Native Training 2026, CNCF CARE initiative 2026, CNCF training roadmap, Golden Kubestronaut, IT career advancement 2026, KCNA renewal, KCSA renewal, KubeCon Amsterdam announcements, Kubernetes certification maintenance, Kubernetes expertise, Kubernetes recertification, Kubestronaut community, Linux Foundation certification, multi-certification IT skills
Microsoft on Kubernetes: Chaos Will Reign Until We Embrace Shared Operational Philosophy & Interfaces
Microsoft at KubeCon Europe 202 unveils the roadmap for AI-ready Kubernetes. Explore new open-source primitives, the graduation of Dynamic Resource Allocation (DRA), and the launch of AI Runway to standardize GPU-backed workloads ...
Adrian Bridgwater | | AI Runway open source, AKS Desktop GA, cloud-native AI infrastructure, cross-cluster networking, Dynamic Resource Allocation (DRA) GA, Elastic SAN for AKS, GPU-backed workloads, HuggingFace Kubernetes, KubeRay integration, Kubernetes 1.36 AI, Kubernetes AI primitives, llm-d Microsoft, Microsoft KubeCon 2026, Microsoft open source strategy, shared operational philosophy
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
Making Kubernetes Cost Governance Practical for DevOps Teams
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
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 ...

