Contributed Content
AI-Driven Cloud Moderation in Kubernetes Clusters
Go beyond DORA metrics. Learn how AI-driven Kubernetes operators use machine learning and predictive scaling to cut cloud costs by up to 50% automatically ...
How AI is Transforming Cloud‑Native Operations
AI is transforming cloud-native operations with predictive scaling, AIOps and automation to improve performance, efficiency and resilience ...
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 ...
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
Kubernetes Fleet Management for the Rest of Us: How to Stay Sane if You Run ‘a Little Bit of Everything’
In 2026, enterprise container adoption is "multi-everything." Move beyond manual cluster management to a fleet operations model that ensures scalable governance, consistent Day-2 operations, and unified identity across cloud, on-prem, and edge ...
Joep Piscaer | | Azure Arc AKS, configuration drift K8s, Container fleet management 2026, container sprawl mitigation, Day-2 operations scale, edge computing containers, GitOps fleet deployment, Google Anthos AI, heterogeneous container environments, hybrid cloud orchestration, Kubernetes operational control plane, multi-cloud container strategy, multi-everything architecture, observability pipelines 2026, operational consistency, Portainer 2026, Rancher fleet management, scalable governance, technical debt K8s, unified RBAC Kubernetes
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
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 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 ...
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 ...

