Data platform FinOps (Bytaru FinOps)

The data cloud bill rises with no explanation: machines left running, more capacity than needed, loads running more often than the business uses them.

Who it is for

Companies paying more than expected for Databricks, Fabric or another data platform. Common signs: "where are we spending", "we need to cut costs", "serverless is expensive".

What we deliver

• A cost report by environment, load, billing type and layer.
• A prioritized list of cuts, each with estimated savings: auto-termination, the right machine per layer, reservations and pre-purchase, load frequency, capacity paused outside business hours.
• A usage policy and a budget alert.

How we do it

1. Measurement over 2 to 4 weeks of history.
2. Assessment.
3. Quick cuts.
4. Structural cuts, with a change window and a rollback plan.
5. Monthly follow-up, if you want it.

The price of the assessment is agreed upfront, based on your current bill.

How we measure

Monthly cost before and after, cost per layer and idle machine time. In a real case, one cloud protection cost line dropped 80% just by changing the billing model.