Control it cost from the cloud before it strains the budget.
The DOMVS iT framework FinOps transforms consumption data into more accurate financial decisions and real opportunities for optimization.
The cost needs to appear before the invoice.
FinOps connects billing to the actual consumption context to show where spending comes from and who is responsible for it.
DOMVS iT structures this analysis with cost allocation and ownership, creating a reliable foundation to track the budget and act on deviations.
What changes for the business
More financial control over consumption that changes every day.
Costs correctly allocated
Associate consumption with applications, products, or cost centers and eliminate expenses without clear ownership.
Less cloud waste
Identify idle capacity and oversized resources before they continue to pressure the invoice.
Most reliable forecast
Project future consumption based on actual environment behavior and anticipate budget deviations.
Visibility into AI costs
Track the financial impact of AI workloads with a specific view on their consumption pattern.
Solution components
FinOps applied where the cost actually happens.
Cost allocation
We structured the expense allocation so that every consumption has context and a person in charge.
Tagging strategy
We organize identification standards to increase the financial traceability of resources.
Budgeting and forecasting
We monitor actual consumption and its projection to anticipate budget deviations.
Rightsizing
We identified resources in excess of actual need and opportunities for capacity adjustment.
Rate optimization
We evaluate commitments and discount models based on actual usage patterns.
Anomaly management
We detected abnormal behavior to accelerate the investigation of unexpected cost increases.
Frequently asked questions
FinOps is a practice for managing the value of technology investments. In the cloud, it links usage and cost data to decisions about budgeting, efficiency, and financial accountability.
Reducing costs is one of the possibilities. FinOps takes a broader approach and aims to improve the value generated by technology adoption, combining financial visibility with optimization decisions.
FinOps becomes particularly relevant when cloud consumption grows, different departments share infrastructure, or the budget becomes less predictable.
Cost allocation attributes consumption to the context responsible for the expense, enabling the analysis of costs by application, product, area, or other business dimension.
Rightsizing adjusts resource capacity to actual usage patterns, seeking efficiency without compromising application performance.
Forecasting uses historical behavior and anticipated environmental changes to project future consumption and support budget decisions.
Anomaly Management identifies consumption events outside the expected behavior so that the deviation can be investigated before gaining relevant financial impact.
Yes. The practice can be applied when consumption is distributed across different platforms, maintaining a common view on cost and technological value.
FinOps for AI addresses challenges such as unpredictable consumption, heavy GPU usage, and new utilization metrics, making it possible to relate these costs to the value generated by AI initiatives.