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Kubernetes Cost Allocation

The attribution layer between your EKS bill and your squads

Your AWS CUR and GCP Billing Export show what the EKS or GKE cluster costs as a node pool line item. Neither tells you which namespace, deployment, or team inside the cluster drove that cost. FinOpsVyn reads pod CPU and memory requests from the Kubernetes API and allocates node cost proportionally — per namespace, per workload, per team. No DaemonSets, no sidecar containers, no agents deployed into your cluster.

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What FinOpsVyn does for Kubernetes

Namespace and workload attribution across EKS and GKE

FinOpsVyn reads CPU and memory requests from the Kubernetes metrics API, correlates them against actual node costs from your CUR or GCP Billing Export, and produces proportional cost allocations per pod, namespace, and deployment. Ownership resolves through Kubernetes namespace labels and Helm values. This is not an estimate — it is actual billed node cost divided by pod resource consumption ratios.

Node cost allocation

FinOpsVyn reads CPU/memory request data from the Kubernetes metrics API and combines it with node pricing from your cloud billing data. Each pod's cost share is calculated proportionally and attributed to its owner namespace or team label.

Namespace and workload breakdown

Cost is presented at namespace level, then broken down to deployment and pod level. Teams see which of their services consume the most cluster resources — and which are over-provisioned relative to actual utilization.

Helm values and GitOps ownership

For teams using Helm or GitOps (ArgoCD, Flux), FinOpsVyn reads the values files and repository structure to confirm ownership. A namespace owned by Team A in GitOps is attributed to Team A in the cost view — automatically.

Over-provisioned resource request detection

Pods with CPU requests at 4× or more above actual peak usage for the trailing 14-day period are flagged with the owning namespace, team, and the annualized cost of the excess reservation. Right-sizing Kubernetes resource requests and limits is typically the highest-ROI cost action for teams running EKS or GKE — FinOpsVyn surfaces which workloads to start with. Acting on the recommendations is your platform team's decision, not an automated change FinOpsVyn makes.

Setup in 3 steps

No agents, no DaemonSets, no controllers deployed into your cluster

  1. 01

    Provide a read-only kubeconfig

    FinOpsVyn uses a kubeconfig with ClusterRole read access on pods, nodes, namespaces, and resource quota. We do not deploy DaemonSets or controllers into your cluster.

  2. 02

    Link to cloud billing

    Connect your AWS CUR or GCP Billing Export so FinOpsVyn can correlate actual node costs with usage. This enables accurate cost allocation rather than estimates based on list pricing.

  3. 03

    Kubernetes attribution goes live

    FinOpsVyn begins polling your cluster metrics on a 15-minute cadence. Within 24 hours, you have namespace-level and workload-level cost attribution. The Kubernetes dashboard populates with team-scoped data.

Attribute your Kubernetes spend

From cluster-level billing line items to per-namespace, per-team attribution — without running agents in production.

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