Annual cloud savings across AWS and Azure, with daily cost allocations, in 90+ markets.
Global data and consulting firm.
Cloud cost tools were built up from the cloud bill, and they stop where the invoice stops. That is fine until the questions get bigger than the bill.
A workload moved back to the data center disappears from the cloud tool as a saving and shows up nowhere as a cost. The business can be winning on one category and quietly losing on another.
Cloud tools allocate by tag, and finance allocates by cost center, legal entity and service. The two views of the same money never reconcile, so the CFO trusts neither.
The engineers who run the platform are the largest line in what it really costs, and no cloud bill contains them.
A cloud tool can tell you what cloud cost, but finance is asking what the service costs.
Daily allocation, anomaly alerts, commitment coverage and findings that write back into the tools engineering already uses.
Cost by team, workload and environment, in engineering’s own terms and without a month’s lag.
Cloud spend from the ledger: allocated to cost centers and entities, reconciled, and planned on the same model as the actuals.
Cloud against the rest of the estate, to see whether the migration business case held once everything was counted.
The FinOps Framework describes engineering, finance and the business working together. In practice it breaks down when each of them has a different number, and one model fixes that.
Four capabilities carry this. Data Studio, Analytics and AI Studio come with every one of them.
Billing from every hyperscaler in FOCUS format, daily allocation, anomaly detection, commitment optimization and findings that write back to Jira and ServiceNow.
Cloud as a tower beside the data center, so the comparison with on-premises is fully loaded and not estimated.
Cloud actuals and forecasts flow straight into the plan, with no export and no reconciliation.
Cloud allocated to legal entity, cost center and service using finance’s rules, and not only on engineering’s tags.
Mix all three in one model. Tag coverage is never complete, and a tool that only allocates what is tagged only allocates part of the bill.
Anomalies and optimization actions are written back to Jira and ServiceNow, with workflow, notification and status. A platform that only reports leaves the work to someone else.
Kubernetes attribution at pod and namespace level is not a primary capability today. If container-level chargeback to engineering teams is your first requirement, we will say so early and scope it honestly.
Jira and ServiceNow write-back is shipping today, as on the FinOps capability page.
The page serves two domains of the FinOps Framework, understanding usage and cost and optimizing usage and cost. FOCUS is the open specification that gives every hyperscaler’s bill one format. MOTEF places cloud beside the other six categories.
