Explanation
Why the waste happens and who it affects.
These idle deployments often remain after project migrations, feature deprecations, or experimentation. Removing inactive workloads allows node groups to scale down, reducing infrastructure costs without impacting active services.
Billing model
The pricing dimensions that drive this cost.
EKS control planes are billed hourly, and compute resources (EC2 nodes or Fargate) are billed separately based on usage. Kubernetes workloads that reserve CPU and memory continue consuming node capacity, even if they are idle, driving unnecessary compute costs.
How to detect
5 checks to find it in your estate.
- Identify Kubernetes workloads (Deployments, StatefulSets, DaemonSets, or CronJobs) with minimal CPU and memory usage over a representative time window
- Review service exposure, pod restart patterns, and ingress configurations to validate inactivity
- Assess workload labels, annotations, and namespaces to determine original ownership and purpose
- Check application monitoring or logs to verify that no meaningful interactions are occurring
- Confirm findings with application owners or service stakeholders before proceeding with removal
How to fix
How to remove the waste.
Delete workloads confirmed to be inactive to reclaim node capacity and reduce cluster size. Review associated Kubernetes resources such as Services, ConfigMaps, and Persistent Volume Claims to ensure complete cleanup. Incorporate tagging and lifecycle management practices to better track workload ownership and reduce future accumulation of unused resources.
Documentation
Vendor references for pricing and configuration.