See exactly what your clusters cost — by namespace, workload, and team — and keep Kubernetes spend under control with modern FinOps discipline.
Cluster Spend
$74,290
Savings Found
$18,620
Idle + over-reserved
Node Pools
32
Across 3 clouds
$74,290
Monthly across clusters
$18,620
Idle nodes & over-reservations
32
EKS / AKS / GKE
$12,480
PVs, load balancers & egress
Everything needed to bring containerized workloads under the same FinOps practices as the rest of your cloud estate.
Break down Kubernetes spend by cluster, namespace, workload, label, and pod. Instantly see which teams and applications drive cost.
Right-size requests, limits, and node pools by detecting idle capacity, over-provisioning, and wasted reservations before they compound.
Allocate shared cluster and node costs to business units, projects, and environments with audit-ready reports finance can trust.
Normalize EKS, AKS, GKE, OpenShift, and on-prem clusters into one consistent cost model with unified governance.
A continuous loop that turns raw cluster data into governed financial action.
Connect clusters and automatically inventory nodes, workloads, services, and storage across every environment.
Map costs to teams and applications using namespaces, labels, deployments, and flexible allocation rules.
Surface idle nodes, oversized pods, and over-reserved resources with prioritized, actionable recommendations.
Enforce budgets, alerts, and approval workflows so Kubernetes spend stays predictable and controlled.
Kubernetes makes cost visibility notoriously hard. We close the gaps that traditional tools leave open.
Shared clusters make it nearly impossible to see which teams, apps, or environments are actually driving cost.
Generous requests and limits leave capacity idle while billing continues — waste that quietly compounds every month.
Without accurate cost-per-workload data, engineering and finance can't agree on what an application truly costs to run.
EKS, AKS, GKE, and on-prem each require different approaches, fragmenting visibility and slowing decisions.
Connect the Kubernetes environments you already run — no rip and replace required.
Give platform and app teams a shared, real-time view of the cost of the code they ship.
Compare cost per pod, per request, and per deployment across environments with accurate unit economics.
Role-based permissions and complete audit trails across every cluster and cost center.
Budget alerts and automated workflows turn cost signals into action — no more spreadsheet archaeology.
Get a clear view of your cluster costs and a practical roadmap for FinOps adoption across containerized workloads.