Knowledge Hub · Google Cloud

Google Cloud. The buyer’s reading room.

The Google Cloud estate is governed by the GCP Enterprise Discount Programme, the Committed Use Discount mix, the Workspace seat licence, the BigQuery edition catalogue, the Gemini for Workspace and Vertex AI commercial lines, and the Marketplace channel. This hub aggregates every piece of analysis Admodum has published on Google Cloud. White papers, case studies, blog commentary, FAQ. All written from the buyer’s side. None of it carries reseller margin or referral fee.

Visit the Google Cloud practice Speak with a senior advisor
Google Cloud licensing advisory

The Google Cloud position paper is two hundred and fifty pages.

GCP EDP ramp, CUD mix, Workspace seat inventory, BigQuery edition map, Gemini and Vertex AI scope and exit architecture. Every piece on this hub feeds the position paper that goes in front of Google Cloud’s account team.

i.
GCP EDP design
Enterprise Discount Programme ramp design, multi-year commitment construction, discount tier negotiation and the closing-letter that records the commitment.
Reading list →
ii.
Committed Use Discounts
Compute CUDs, Spend-Based CUDs, Resource-Based CUDs, term length, payment option, regional flexibility and the optimisation cycle that holds the run-rate.
Reading list →
iii.
Workspace seat reconciliation
Business Starter, Standard, Plus, Enterprise Standard and Enterprise Plus tier reconciliation, seat-count inventory, dormant population removal and the renewal preparation.
Reading list →
iv.
BigQuery edition design
Standard, Enterprise and Enterprise Plus editions, slot reservation, autoscaling and the edition mix that holds the analytics run-rate against speculative consumption.
Reading list →
v.
Gemini and Vertex AI
Gemini for Workspace pricing, Vertex AI model consumption, generative AI use-case mapping and the commitment design that protects against speculative AI consumption.
Reading list →
vi.
Marketplace and exit
Google Cloud Marketplace channel for third-party software, EDP credit treatment, ISV private offers, egress and exit terms, and workload portability.
Reading list →
Reading list · White papers
Google Cloud research library.
All white papers →
The GCP EDP commitment ramp
Paper i. · 22 pages
Ramp construction over three to five years, discount tier negotiation, governance language and the closing-letter that records the commitment. Gated. Corporate email only.
Request →
Committed Use Discount optimisation
Paper ii. · 18 pages
Compute CUDs, Spend-Based CUDs, Resource-Based CUDs, term length, payment option and the optimisation cycle that holds the run-rate.
Request →
Google Workspace seat reconciliation
Paper iii. · 16 pages
Business and Enterprise tier reconciliation, seat-count inventory, dormant population removal and the renewal preparation methodology.
Request →
BigQuery edition design
Paper iv. · 18 pages
Standard, Enterprise and Enterprise Plus editions, slot reservation, autoscaling and the edition mix that holds the analytics run-rate.
Request →
Gemini and Vertex AI commercial scope
Paper v. · 16 pages
Gemini for Workspace pricing, Vertex AI model consumption, generative use-case mapping and the commitment design that protects against speculative AI consumption.
Request →
Documented outcomes · Case studies
Google Cloud engagements on the record.
All 154 case studies →
GCP EDP redesign at a fintech
Case study i. · EDP · Commitment
Five-year EDP commitment ramp redesigned against documented workload migration plan. Discount tier negotiated. CUD mix optimised. Governance language put in writing. Commitment value reduced to documented consumption.
Read →
Workspace renewal at a media group
Case study ii. · Workspace · Seats
Workspace renewal preparation cycle. Seat tier reconciliation across Business and Enterprise editions. Dormant population removed. Gemini for Workspace scoped against documented adoption forecast.
Read →
BigQuery edition design at a retailer
Case study iii. · BigQuery · Editions
Standard, Enterprise and Enterprise Plus edition mix reconciled. Slot reservation tuned to documented workload. Autoscaling protection put in writing. Analytics run-rate held against speculative consumption.
Read →
Vertex AI commitment redesign at a bank
Case study iv. · Vertex AI · Scope
Vertex AI proposed at speculative model consumption rate. Generative AI use-case map assembled, commitment redesigned against documented adoption forecast. Speculative commitment removed from the EDP renewal.
Read →
Analysis · Blog
Recent Google Cloud commentary.
All blog →
GCP EDP versus AWS EDP
Comparison · EDP
Discount tier, ramp construction, governance language, exit terms. How the GCP EDP reads against the AWS EDP and the Azure MACC.
Read →
The CUD mix explained
Primer · CUDs
Compute, Spend-Based, Resource-Based. Term length, payment option, regional flexibility. The optimisation cycle that holds the run-rate.
Read →
Gemini for Workspace pricing
Primer · Gemini
The seat add-on, the use-case mapping, the commitment design that protects against speculative consumption.
Read →
BigQuery editions trade-offs
Analysis · BigQuery
Standard, Enterprise, Enterprise Plus. Slot reservation, autoscaling, edition mix. The trade-offs against analytics run-rate.
Read →
Questions we hear
Google Cloud FAQ.
Is Admodum a partner or reseller of Google Cloud?
No. Admodum is not a partner, reseller, or affiliate of Google Cloud. The firm carries no Google Cloud margin, no Google Cloud referral commission, no Google Cloud Marketplace listing and no Google Cloud audit subcontract. The buyer is the only client. The independence statement is on every page. See the firm page and the Google Cloud practice page for the documented position.
When should a GCP EDP renewal cycle open?
Twelve months before the renewal date. The workload migration plan reconciliation, the CUD optimisation, the Workspace renewal review and the Vertex AI scope-in all run inside the twelve-month cycle. The Admodum Renewal Programme is the operating framework. The EDP white paper is the reading list.
How does the CUD mix actually work?
Compute CUDs cover compute hours, Spend-Based CUDs cover total spend, and Resource-Based CUDs cover specific resources. The mix is tuned against the workload portfolio and the run-rate forecast. The CUD white paper covers the methodology.
Should BigQuery be on a slot reservation or autoscaling?
It depends on the workload predictability. Predictable workloads sit on reserved slots; bursty workloads sit on autoscaling. The edition mix is tuned per workload, not per organisation. The BigQuery white paper covers the methodology.
How does Admodum charge on Google Cloud work?
Three models. Fixed fee on a scoped engagement, contingency tied to verified savings, and the annual retainer for an estate-wide programme. The engagement model is chosen by the buyer. See Fixed Fee, Contingency, and Annual Retainer.

Subscribe to the Google Cloud intelligence note.

Monthly. Google Cloud-only. The EDP renewal cycle, the CUD optimisation, the Workspace renewal, the BigQuery edition design, the Gemini and Vertex AI commercial lines and the new contract clauses we have seen in the last thirty days. Sent to corporate email addresses. No personal mail addresses.

Please enter a corporate email address. Personal addresses (gmail, hotmail, outlook, yahoo, icloud) are not accepted.
Corporate email required · Unsubscribe in one click
$240M
Google Cloud Spend Advised
38
GCP Engagements
24
EDPs Negotiated
16
Workspace Renewals
8
GCP Papers
Independence
Admodum is not a partner, reseller, or affiliate of Google Cloud, or of any other software vendor. No reseller margin, no referral commission, no audit subcontract.
Google Cloud licensing advisory

Open a Google Cloud conversation.

Practice covers GCP EDP, CUD optimisation, Workspace renewal, BigQuery edition design, Gemini for Workspace and Vertex AI commercial scope. Engagement structured as fixed fee · contingency · annual retainer.

Speak with a Senior Advisor Google Cloud practice