Kubernetes Cost Optimizer
Optimize your Kubernetes spending. Input your cluster configuration to find over-provisioned resources, spot instance opportunities, and potential savings.
- Free Optimization
- Cluster Analysis
- Cost Breakdown
Kubernetes Cost Optimizer
Frequently asked questions
How much can I save by right-sizing Kubernetes clusters?
Most organizations are 40-60% over-provisioned. Right-sizing typically saves 30-40%, and adding spot instances can bring total savings to 50-70%.
What workloads are suitable for spot instances?
Stateless microservices, batch processing, CI/CD runners, development/staging environments, and any workload that can tolerate interruption with graceful shutdown.
How often should I review Kubernetes resource allocation?
Review monthly at minimum. Use tools like Kubecost, OpenCost, or cloud-native recommendations (GKE Autopilot, EKS right-sizing) for continuous optimization.
What is a good CPU utilization target for Kubernetes?
Target 65-75% average CPU utilization for production workloads. Below 40% indicates significant over-provisioning. Above 85% risks performance degradation during spikes.
Overpaying for Kubernetes?
Most teams overspend by 50%+ on Kubernetes. We help you right-size clusters, implement spot strategies, and set up cost governance — with zero downtime.
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