Smarter EKS Cost Optimization

Eliminate unnecessary resource usage, rightsize your workloads, and save up to 50% on EKS costs through smart, automated optimization.

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Up to 50%
Cost Savings

Optimizes EC2 instances and automatically removes idle resources to more effectively reduce unnecessary infrastructure costs.

Ensure Stability and
Cost Efficiency

Optimizes service stability and resource use through fine-tuned Right Sizing and Auto Scaling settings.

Automation for
EKS Optimization

Boosts operational efficiency by automating resource cleanup through spot instance strategies and optimized cluster configurations.

Reduce EKS costs by detecting over-provisioned resources and optimizing Kubernetes operations.

EKS Cluster Optimization

Automatically identify over-provisioned resources in Amazon EKS and efficiently reallocate Kubernetes workloads using a bin-packing strategy. By applying cluster auto scaling based on traffic fluctuations, EKS nodes are flexibly scaled up or down only when needed—maximizing resource utilization and reducing infrastructure costs.

Workload Rightsizing

Automatically adjust EKS resources based on workload traffic changes. As traffic increases, resources scale up instantly; when usage drops, unnecessary resources are scaled down—ensuring optimal performance at minimal cost.  Experience dynamic resource scaling that enables stable EKS operations without excessive resource waste.

EKS Spot Instance Optimization

Automatically identify interruptible EKS workloads and shift them to EC2 Spot Instances.This strategy is optimized for low-priority or batch jobs and is one of the most effective ways to reduce Amazon EKS costs—offering up to 90% savings compared to On-Demand Instances.

Zero Resources

Automatically remove EKS resources during idle periods and instantly recreate them when needed.
Resources are managed flexibly based on your operational schedule and kept at ‘zero’ outside designated times to avoid unnecessary costs. Achieve maximum operational efficiency at minimal cost with smart resource scheduling.