Integrations/Amazon Elastic Kubernetes Service (EKS)

Native Integration

Amazon Elastic Kubernetes Service (EKS) Integration

Govern Amazon Elastic Kubernetes Service (EKS) spend with granular container economics — track EC2 worker nodes, Fargate serverless profiles, Karpenter autoscaling, and namespace-level cost allocation.

What Finomics tracks for Amazon Elastic Kubernetes Service (EKS)

Pod-level container cost attribution, Fargate profiles, and Karpenter node governance

EC2 worker node and managed node group compute costs

AWS Fargate serverless pod execution spend

Karpenter dynamic node provisioning and bin-packing efficiency

Namespace, pod, service, and deployment cost allocation

EBS persistent volume storage and cross-AZ network transfer charges

Savings Plans and Spot Instance utilization across EKS clusters

Why govern Amazon Elastic Kubernetes Service (EKS) with Finomics

Pod-Level Cost Attribution

Break down EKS spend by individual namespaces, daemonsets, and container tasks.

Cluster Capacity Forecasting

Forecast compute and node scaling costs based on traffic patterns and seasonal demand.

Resource Request Guardrails

Identify over-provisioned CPU/memory requests and rightsize resource limits.

Multi-Tenant Chargeback

Map Kubernetes namespaces and labels directly to engineering teams and business units.

Spot & Karpenter ROI

Maximize Spot instance adoption and dynamic node bin-packing to reduce compute costs.

Idle Waste Detection

Instantly pinpoint zombie pods, unattached persistent volumes, and idle cluster nodes.

Get started in minutes

Connect

Deploy the lightweight Finomics agent or connect AWS Cost and Usage Reports.

Sync

Finomics ingests cluster telemetry, pod metrics, and EC2 billing data.

Attribute

Map namespaces, cluster tags, and workloads to cost centers and teams.

Govern

Enforce namespace budgets, rightsizing recommendations, and cost anomaly alerts.