Strategic centralization of multi-cloud pricing commitments
Opportunistic discount management turned into an enterprise strategy. A predictive portfolio created, relieving engineering and securing ROI.
01 Challenges and context
Context and strategic stakes
The organization managed its commitment-based discounts (Savings Plans, Reserved Instances, CUDs) across Microsoft Azure and Google Cloud in a completely empirical and siloed manner, often referred to as 'Best Effort' by technical teams. This opportunistic approach, left to the goodwill of overburdened engineers, led to a dual detriment: the company lost millions of dollars in discounts due to a lack of consolidated visibility, and exposed its finances to capital immobilization risks (over-commitment on technologies destined for obsolescence). The objective was to build a centralized, standardized, and predictive coverage portfolio.
02 Work carried out
Approach and methodology
The initial step involved auditing internal Cloud commitment purchasing practices and evaluating existing coverage. The analysis demonstrated the inefficiency of the siloed approach, identifying 8 strategic improvement areas: the necessity of centralizing governance authority, mathematical demand forecasting, financial risk diversification, and granular management of discount lifecycles (expiration, renewal, exchange).
03 Outcomes achieved
Results and indicators
25% to 30%
Additional Net Reduction
5 times
Financial Optimizations Multiplied
$95,000
Opex Volume Freed per Month
Financial Performance: Massive exploitation of contractual discounts yielding an additional net reduction of 25% to 30% on targeted perimeters.
Freed Opex Volume: Financial optimizations increased fivefold, from $20,000 to $95,000 per month.
Risk Governance: Formalization of a secure RACI and total centralization of budgetary risks on a unified dashboard.