Google Cloud leaks money like every cloud, then adds its own commercial layer: two kinds of committed use discounts, sustained use interactions, and BigQuery models where the wrong choice doubles the analytics bill. We work all of it.
This engagement is bought by organizations whose Google Cloud spend has outgrown its structure: idle and oversized resources, unmanaged storage growth, and non production running around the clock, wrapped in a discount system nobody fully mapped.
It fits data platform teams facing BigQuery pricing decisions where on demand versus editions can double the analytics bill, and procurement teams heading toward a commit agreement sized from Google's growth story rather than measured burn.
Google Cloud overspend has a generic layer and a Google specific one, and both need working:
Optimize the consumption, structure the discounts deliberately, and the commit negotiation starts from a number Google has to respect.
The engagement follows the four workstreams of our Google Cloud optimization statement of work. Consumption is baselined, waste is eliminated, the service and commitment portfolio is structured deliberately, and the agreement is right sized and negotiated.
| Deliverable | What it contains |
|---|---|
| Consumption baseline report | The verified run rate by project and service with commitment coverage and the contract position. |
| Optimization report | The prioritized waste register with savings per action and the optimized run rate. |
| Service and commitment report | The CUD structure per workload, sustained use mapping, and the BigQuery pricing verdict. |
| Agreement and negotiation paper | The right sized commit, benchmark verdict, and negotiation plan with required terms. |
| Advisory through the term | Up to four advisory calls plus email support, with proposal assessments through signature. |
Google's discount system rewards deliberate structure: resource versus spend based CUDs, sustained use interactions, and BigQuery model choices each move real percentages, and defaults choose against you. Mapping the structure is worth as much as cutting the waste.
The published record includes a luxury digital media company saving 22 percent on Google Cloud, a New York professional services firm saving 20 percent, and a US media company saving $300K through optimization.
We hold no Google partner status and no resale margin, so structure choices and commit sizing serve your economics alone.
The engagement runs fixed price, all inclusive, or on contingency at 25 percent of the savings we deliver: you keep 75 percent, and if we save you nothing, you pay nothing.
Google Cloud outcomes on the record.
A luxury digital media company saved 22 percent on Google Cloud.
✓ Published case studyA New York professional services firm saved 20 percent on Google Cloud.
✓ Published case studyA US media company saved $300K through GCP optimization.
✓ Published case studyA San Francisco financial institution cut projected AI consumption spend with structural flexibility.
Four workstreams: a consumption baseline, waste elimination, deliberate structuring of the CUD and service portfolio including BigQuery pricing, and right sizing plus negotiation of the commit agreement.
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.
By testing on demand versus editions against your actual query patterns. The wrong choice can double the analytics bill, and the portfolio workstream delivers the verdict with the math.
From the optimized run rate plus validated growth, never from Google's projections. Stranded commitment at term end and overage both cost you, so the number has to come from evidence.
Yes: sustained use applies automatically to some workloads, and committing those can waste the overlap. The mapping identifies where commitments add value and where they duplicate it.
Recommendations come from utilization data with headroom explicit and are specified with your platform team. Savings come from measured idle and structural choices, not risk.
Billing exports, the commitment inventory, contracts and commit terms, and BigQuery usage patterns for the pricing analysis.
Fixed price, all inclusive, covering all four workstreams, up to four advisory calls, and email support, or contingency at 25 percent of the savings we deliver: you keep 75 percent, and if we save you nothing, you pay nothing.
Waste out, CUDs structured deliberately, BigQuery priced right, and the commit negotiated from evidence.
One letter a month. Negotiation moves, audit signals, and price book shifts.