How much does the Google Cloud cost optimization service cost?
A fixed fee, scoped to the work and agreed up front, and we never bill by the hour. If the engagement includes negotiating the commit agreement, that part can run on a success fee of 25 percent of what we save you instead.
What is the difference between the two CUD types?
Resource based CUDs commit to specific machine resources; spend based CUDs commit dollars, with more flexibility at different discount levels. The right choice varies per workload profile, and defaults routinely choose wrong.
How do we pick the right BigQuery pricing model?
By testing on demand against editions using your actual query patterns. The wrong choice can double the analytics bill, and the portfolio workstream delivers the verdict with the math.
Does the sustained use discount change what we should commit?
Yes. Sustained use applies automatically to some workloads, and CUDs replace it on committed resources, so committing those workloads can waste the overlap. The mapping shows where commitments add value and where they duplicate it.
Will optimization affect our workloads?
No change is made without your platform team. Recommendations come from utilization data with headroom stated, and savings come from measured idle capacity and structural choices, not from risk.
How long does a Google Cloud optimization engagement take?
The consumption baseline lands within 10 business days of complete data, and a typical engagement closes in six to ten weeks. The US media company in our case studies went from scoping to a signed CUD term in four months.
What data do you need from us?
Billing exports, the commitment inventory, contracts and commit terms, BigQuery usage patterns for the pricing analysis, and the Workspace contract if seats are in scope.
Are you independent of Google?
Yes. We are 100 percent buyer side, with zero vendor affiliations, no reseller agreements and no referral fees. We hold no Google partner status, so structure choices serve your economics alone.
