A European retailer with $42 million annual GCP spend faced an overcommit problem. The original three year CUD commit was sized to forecast that did not materialize. A buyer side renegotiation cut commitment exposure by 38 percent.
A European retailer engaged Redress to renegotiate a GCP commitment portfolio that had been sized to a forecast that did not materialize. The result was a 38 percent reduction in commitment exposure.
Read this case study alongside the GCP CUD pillar, the CUD vs Savings Plan comparison, and the Google Cloud practice page.
The client name remains confidential. The numbers and the moves are real. The framework reuses across the GCP overcommit scenarios we see across the buyer side practice.
A multi country European retailer with 800 stores and a growing online business. Headquartered in Western Europe. GCP adoption began in 2021. The original commit landed at the back of the migration phase.
The estate ran across three Google Cloud regions. Compute, BigQuery, and BigTable were the largest line items. The CUD commit covered all three categories.
A CIO, a head of FinOps, a head of procurement, and a senior architect. Redress engaged as the buyer side advisor and the lead negotiator at the contract table.
The original 3 year compute CUD was sized in 2023 to a forecast that assumed 35 percent year over year growth. Actual growth landed at 8 to 12 percent. The commit ran 30 to 40 percent ahead of demand.
The compute commit was the largest mismatch. BigQuery slots ran close to demand. BigTable spend commit was undercommitted, not overcommitted.
Annualized waste sat at $7.4M on compute alone. Across the remaining 24 months of the 3 year term the total exposure was $14.8M. Add the BigTable on demand premium and the total exceeded $16M.
European retailer GCP commit renegotiation outcome
| Bucket | Action | 24 month value | Clauses added |
|---|---|---|---|
| Compute CUD | 28 percent step down | $7.4M | 3 |
| Compute family | N2 to N2D migration | $4.8M | 2 |
| BigQuery | Flex slot reservation | $1.1M | 1 |
| BigTable | Spend commit added | $0.9M | 2 |
| New 3 year paper | Custom rate 8 points deeper | $3.8M | 4 |
| Total program | Combined | $16M plus | 12 |
The baseline reconciliation took 6 weeks. The FinOps team and Redress mapped commit by SKU by region against actual consumption. The mismatch became precise.
The reconciliation pulled commit data from the Google billing API and consumption data from the FinOps tooling. The cross check identified every overcommit SKU.
A new 24 month forecast replaced the 2023 forecast. The new forecast assumed 10 percent compound growth, family migration to N2D, and partial migration of BigQuery to flex slot reservation.
The plan combined three moves. Negotiate a step down on the existing CUD. Migrate part of the compute estate to a new commit family. Restructure the term length on the residual commit.
The first move was a step down on the existing CUD. The target was a 28 percent reduction in committed vCPU and memory across the remaining 24 months.
The second move migrated 30 percent of the compute estate from N2 to N2D. The migration was already on the architecture roadmap. The CUD renegotiation accelerated it.
The third move converted the residual 24 month exposure into a fresh 3 year commit with a 20 percent step down at month 24. The fresh term unlocked a deeper custom rate.
“An overcommitted CUD is a contract problem not a usage problem. The fix sits at the contract table. Not at the deployment console.”
The contract table took five sessions over three months. The buyer side moves followed a defined sequence. Each move set up the next move.
The leverage moves included a parallel AWS quote, a documented workload migration option, and a clear walk away position with a phased on demand fallback.
The clause moves added 12 buyer side clauses to the new paper. Step down, exit, change of control, audit rights, custom rate freeze, and no worse than language all landed.
The renegotiation closed in month 9 of the engagement. The combined moves delivered a 38 percent reduction in commitment exposure and $16M in total savings across the remaining 24 months of the original contract plus the new 3 year term.
The numbers split across three buckets. Existing CUD step down savings. Family migration savings. Custom rate savings on the new paper.
The engagement ran 9 months. The buyer side team invested approximately 600 hours across CIO, FinOps, procurement, and architect roles. Redress engaged at full advisor depth across the engagement.
Three lessons apply to most GCP overcommit scenarios. Forecast conservatively at original commit time. Negotiate step down into the original paper. Monitor commit vs consumption monthly.
The original commit assumed 35 percent growth. Use the previous 24 month actual growth rate as the floor. Never commit above the floor.
The European retailer cut commitment exposure by 38 percent and captured $16M in total savings across the remaining 24 months of the original contract plus the new 3 year term. The engagement ran 9 months from scoping to signature.
The original 3 year CUD was sized in 2023 to a forecast that assumed 35 percent year over year growth. Actual growth landed at 8 to 12 percent. The commit ran 30 to 40 percent ahead of demand.
The first move was a step down on the existing CUD targeting 28 percent reduction. The second move migrated 30 percent of the compute estate from N2 to N2D. The third move restructured the residual into a fresh 3 year commit with deeper custom rates and step down rights.
Three sources of leverage. A parallel AWS Compute Savings Plan quote. A documented 24 month workload migration plan. A walk away position with a phased return to on demand pricing modeled and ready.
Twelve buyer side clauses. The biggest hits were step down rights at year 2, change of control assignment language, custom rate freeze for the term, and no worse than protection against tier degradation.
Yes. The same framework applies. The mechanics differ. AWS Savings Plans cannot be modified once purchased so the buyer side play shifts to the next renewal cycle. Azure MACC overcommit responds to similar renegotiation moves.
Google Cloud commitment posture, custom discount mechanics, marketplace strategy, and the buyer side moves across the GCP estate.
Used across more than five hundred enterprise engagements. Independent. Buyer side. Built for procurement leaders running the next renewal cycle.
“The original commit was sized to a forecast that did not arrive. The buyer side play was to renegotiate the commit shape, not to absorb the overcommit through wasted spend.”
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