Waste signals
- Average node CPU < 30% across the cluster
- Pod requests far above observed usage (over-requesting)
- On-demand node groups for fault-tolerant workloads
- Stale node groups without scaling activity
AWS EKS cost optimization
EKS underutilization is the most common cluster-cost mistake. Pod requests are over-set, nodes are oversized, and Spot is rarely used. TurboFinOps measures every node pool plus namespace and recommends concrete shape changes.
Typical savings range$1,000-$15,000 / monthmid-size EKS cluster with 50-200 nodes
Optimization levers
- Bin-pack with Karpenter or Cluster Autoscaler aggressive mode
- Right-size pod requests based on observed usage
- Add Spot node groups for batch / stateless tiers
- Migrate compatible nodes to Graviton (m7g / c7g)
Workflow
How TurboFinOps closes the loop
1. Scan
Inventory clusters, node groups, namespaces and metrics.
2. Surface
Cluster utilization and right-size recommendations per workload.
3. Approve
Node group changes pass conflict guard + change ticket.
4. Verify
Receipts confirm EKS cost drop without availability hit.
FAQ
Frequently asked questions
Does TurboFinOps install an in-cluster agent?+
No — coverage is via cloud API. For deep pod-level insight you can pair us with Kubecost.
How is cluster cost allocated by namespace?+
Node cost is split across namespaces by observed pod-hours and resource requests, with a configurable shared-cost pool for ingress / addons.
Related aws cost optimization guides
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Connect one AWS, Azure or GCP scope, approve the safest savings actions, and give finance a receipt when the savings verify.
Read-only scan first. Approval gates before remediation.