Articles tagged with "cost-optimization"
Installing OpenCost on an on-prem or bare-metal K3s cluster doesn't give you accurate numbers out of the box: node CPU and RAM costs default to GCP us-central1 cloud pricing unless you override them. Here's why that happens and how to set custom pricing that reflects your real hardware costs.
Most Karpenter vs Cluster Autoscaler comparisons assume you're on AWS. Here's what you need to know about node autoscaling constraints on K3s, on-premise, and bare metal before you decide.
Right-sizing nodes and adopting Spot VMs on AKS often plateaus because LoadBalancer-per-service billing and monitoring add-ons are structural fixed costs that operational tuning can't touch. We break down the real bottleneck and compare it to K3s's lightweight cost structure.
Why do Kubernetes costs on EKS/AKS balloon unexpectedly? We break down how autoscaling and cross-AZ billing hide costs, and explore how K3s-based managed infrastructure turns them into a fixed cost.
Kubernetes GPU multi-tenancy isn't a binary choice between namespace isolation and dedicated nodes. This article breaks down the cost-vs-isolation trade-off and how to design a hybrid approach.
Every new dev, test, and staging environment adds to your Kubernetes cloud bill. Learn how namespace isolation, ResourceQuota, and a hybrid dedicated-cluster-for-production model balance cost and isolation.
Explore how to leverage Kubernetes v1.36 'Haru' enhanced User Namespaces and security features in K3s lightweight environments. Discover managed K3s operational strategies and 2026 infrastructure selection guidelines that achieve 60% cost reduction compared to EKS.
Cut your Kubernetes cloud costs by 30-50% with proven optimization strategies. Includes EKS, AKS, GKE pricing comparison and Kubo's cost advantage analysis.
Master Kubernetes autoscaling with HPA, VPA, and KEDA. Learn each tool's strengths, combination patterns, and cost optimization impact with practical examples.
Break free from the current state of only 20-30% GPU utilization. Learn the latest 2026 techniques to achieve 50-70% AI infrastructure cost reduction through dynamic resource management with Kubernetes Dynamic Resource Allocation.