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Engineering and finance leaders

Cost by business unit and product, with a forecast you can plan on

See where Kubernetes and cloud spend goes by team, product and environment, how it is trending, and which savings are approved and shipped.

What UnitVane brings to this job

Build your own FinOps dashboards on certified numbers

Analytics Studio

UnitVane Analytics, built on Apache Superset, ships 11 template dashboards, a chart builder and SQL on certified datasets, embedded in the app with each viewer's scope applied. Or connect Power BI, Tableau or Excel.

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The problem

Why it is hard today

Cost by business unit and product, with a forecast

  • Spend grows faster than the plan:

    Infrastructure cost moves every month, and the explanation arrives after the invoice.
  • No unit view:

    Without cost per team or product, it is hard to say whether growth is healthy.

How UnitVane handles it

What you get

Cost by team and product

Allocation grouped the way your organization is structured.

Forecasts

Run-rate forecasts on every budget, updated hourly.

Savings pipeline

Open, approved and applied savings per month.

Scheduled summaries

Monthly reports and a weekly digest by email or Slack.

On-prem included

Data center clusters priced with rate cards or hardware cost.

Exports and API

The same numbers in your planning tools.

Outcomes

What changes for your team

A forecast before the month closes

Budgets warn owners as soon as the run rate points over.

A savings number you can track

Proposals show what is open, approved and applied, as a monthly amount.

Your first weeks

What you see, and when

From the first agent run to findings that need a full usage history.

  1. 01

    Within the first hour

    The cluster, its nodes, namespaces and workloads appear in Diagnostics. Allocated cost per namespace, team and label follows as soon as billing data is in.
  2. 02

    Once billing data is in

    180 days of history are read and allocated, plus 30 days of per-pod split cost history where AWS split cost allocation data exists. A brand-new AWS export can take up to a day to deliver its first file. The allocated history is kept; the raw billing rows leave the hub after 90 days.
  3. 03

    Within 30 minutes of the first allocation

    Savings are computed, starting with findings that need no usage history, such as released volumes that still bill. Change proposals follow at the next daily regeneration.
  4. 04

    After 7 days of usage

    Container requests are right-sized from p95 usage over 7 days of hourly samples.
  5. 05

    After 14 days

    Node group sizing and abandoned workloads, which each need 14 days of data, and over-provisioned volumes, which also need Prometheus volume usage.

UnitVane works with your technology

Every major cloud, any Kubernetes, and the tools and model providers your teams already use.

All integrations

Clouds and Kubernetes: AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Kubernetes, Red Hat OpenShift, Rancher, VMware Tanzu, k3s

Your tools and model providers: Helm, Terraform, Argo CD, Flux, Prometheus, OpenTelemetry, Okta, Slack, Microsoft Teams, OpenAI, Anthropic, Mistral AI

Your questions answered

Ready to see it on your own data?

A 30-minute walkthrough on your own billing data, for your clouds, your clusters and your model providers.