.png)
How It Works
AWS EKS is a managed Kubernetes service that lets teams run containerized workloads without operating the Kubernetes control plane themselves. AWS charges a flat fee per cluster per hour for the control plane. The larger share of EKS spend, however, comes from the compute layer: the EC2 instances or AWS Fargate resources that run the actual workloads inside the cluster. Additional charges can come from Elastic Load Balancers attached to services, Amazon EBS volumes used for persistent storage, and data transfer fees when traffic moves across Availability Zones or out to the internet. Because Kubernetes clusters often run many microservices at variable scale, the total bill can be difficult to attribute to individual teams or applications without deliberate tagging and cost allocation practices.
Why It Matters for Cloud Cost
EKS compute costs grow quickly as workloads scale, and the default posture for most clusters is to run on on-demand EC2 instances, which carry the highest per-hour rate AWS offers. Teams that do not right-size node groups or apply commitment-based discounts to the underlying EC2 fleet pay a significant premium over what is necessary. Fargate compute, while operationally simpler, is priced at a higher rate than equivalently sized EC2 instances and offers fewer discount mechanisms. Without visibility into per-namespace or per-team spend, EKS costs often appear as an undifferentiated line item in billing dashboards, making it hard to identify waste or hold the right teams accountable.
Usage AI: Usage AI’s Flex Savings Plan covers EC2 compute, which is the primary driver of EKS worker node costs, and can reduce that spend by 40 to 60% versus on-demand rates with no upfront payment and no lock-in risk carried by the customer.