Kubernetes Cost Optimization
Reduce Kubernetes infrastructure costs by 40–60% through cluster rightsizing, Spot/Preemptible node strategies, workload resource tuning, and pod-level cost attribution across EKS, AKS, and GKE.
Why Businesses Need This Service
Kubernetes clusters are one of the most expensive and most inefficiently used components of cloud infrastructure. Node pools are sized for peak load, pod resource requests are set too high by developers who don't want to be paged at 2am, and there is no visibility into which teams or workloads are responsible for which costs. Kubernetes Cost Optimization brings the same financial discipline to container infrastructure that FinOps brings to cloud infrastructure overall.
Key Capabilities
Comprehensive capabilities to address your cloud needs
Node group and node pool rightsizing based on actual workload resource utilisation
Spot/Preemptible Instance and Spot Node Pool configuration for non-critical workloads
Pod resource request and limit tuning using Vertical Pod Autoscaler (VPA) recommendations
Horizontal Pod Autoscaler (HPA) and KEDA configuration for efficient scaling
Kubecost deployment for namespace, team, and workload-level cost attribution
Cluster consolidation — reducing cluster count while maintaining isolation requirements
Technologies & Platforms
Industry-leading tools and platforms we use to deliver exceptional results
Technologies
Platforms
Business Outcomes
Measurable results that drive business value
40–60% reduction in Kubernetes infrastructure costs through systematic optimisation
Pod resource waste eliminated with VPA-tuned requests and limits
Spot/Preemptible Node coverage of 60–80% for non-critical workloads
Cost attribution at namespace, team, and individual workload level
Cluster utilisation improved from typical 25–35% to 60–75%
Common Use Cases
Real-world scenarios where this cloud service delivers value
EKS, AKS, or GKE cost audit and optimisation engagement
Spot/Preemptible Node Pool implementation for batch, CI, and development workloads
Pod resource request rightsizing with VPA and Goldilocks
KEDA event-driven scaling for queue-based and scheduled workloads
Karpenter node provisioner deployment for dynamic, cost-aware node selection
Kubernetes cost attribution for showback and chargeback to engineering teams
Typical Architecture
Key components and layers in a typical cloud architecture
Kubecost Deployment
Karpenter / Cluster Autoscaler
VPA Controller
HPA / KEDA Scalers
Spot Node Pools
Cost Attribution Dashboard
Our Implementation Process
A systematic approach that ensures timely delivery and exceeds expectations
Cluster Cost Audit
Deploy Kubecost, analyse cost allocation by namespace and workload, identify overprovisioned node groups and pods, and establish cost baseline.
Resource Rightsizing
Deploy Goldilocks VPA advisor, analyse resource request recommendations, tune pod requests and limits workload by workload, and validate application stability.
Node Optimisation
Configure Spot/Preemptible Node Pools for non-critical workloads, implement node affinity rules, deploy Karpenter for dynamic provisioning, and right-size on-demand node groups for critical workloads.
Autoscaling Enhancement
Review and tune HPA configurations, implement KEDA for event-driven workloads, and configure cluster autoscaler or Karpenter policies to scale down aggressively outside business hours.
Cost Attribution & Governance
Implement team-level cost attribution with Kubecost, configure resource quotas per namespace, establish monthly cost review process, and integrate cost metrics into engineering dashboards.
Industries We Serve
Our cloud services deliver value across diverse industries
SaaS Platforms
Fintech
Healthcare
AI / Data Platforms
Ecommerce
Gaming
Cloud Platforms & Tools
Industry-leading platforms and tools we leverage to deliver exceptional results
Technologies
Platforms
Example Success Story
See how we've helped businesses achieve success with cloud solutions
Client Challenge
A SaaS platform spent $420,000/year on EKS infrastructure. Clusters ran at 28% average utilisation, all workloads ran on on-demand nodes, pod resource requests were set to developer estimates from 2 years ago, and there was no visibility into which teams drove which costs.
Cloud Solution Implemented
We deployed Kubecost for cost attribution, used Goldilocks to generate VPA recommendations and tuned pod requests across 145 deployments, implemented Spot Node Pools covering 70% of the workload, deployed Karpenter replacing the Cluster Autoscaler, and set up namespace-level cost quotas and dashboards.
Business Results
$195,000/year reduction (46%) in EKS costs
Spot Node Pool coverage at 70% saving $140,000/year
Pod resource waste reduced by 38% through VPA tuning
Cluster utilisation improved from 28% to 64%
Cost attribution by team and product implemented
Frequently Asked Questions
Common questions about Kubernetes Cost Optimization
Kubecost is an open-source and commercial tool that provides real-time cost visibility and attribution for Kubernetes clusters. It shows cost per namespace, deployment, pod, and label — enabling teams to understand their infrastructure spend without relying on cloud billing exports alone.
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