Kubernetes & EKS Cost Optimization
Cluster spend is a bin-packing problem before it is a pricing problem.
- Turnaround
- 5–7 business days
- Who it is for
- Teams running EKS or AKS with node costs rising faster than workload.
01 — The problem
Most Kubernetes overspend is requests and limits set once, by hand, and never revisited. Nodes run at 30% utilisation while the autoscaler keeps adding more, and nobody can say which team caused it.
02 — What is included
Exactly what you get, and nothing vague.
- Requests and limits reviewed against observed utilisation per workload
- Node group and instance family selection, including Graviton and Spot suitability
- Karpenter or Cluster Autoscaler configuration review
- Bin-packing analysis: what your actual node utilisation is, per pool
- Per-namespace cost allocation so teams can see their own spend
03 — What this usually finds
The recurring ones, named up front.
- Requests set equal to limits "for safety", wasting half the cluster
- Single large node groups where mixed instance types would pack better
- Stateless workloads that could run on Spot but do not
- Dev clusters with production-sized node pools
Listed because they recur, not because they are guaranteed. The audit reports what is actually there.
Next step
Twenty minutes to find out whether this is worth doing.
Every engagement runs under a signed mutual NDA with a read-only IAM role. If the audit would not pay for itself, I will say so on the call.