A fast-growing SaaS platform had scaled its AWS footprint aggressively to keep pace with customer growth, but engineering leadership had lost visibility into why costs were rising faster than revenue. Monthly cloud spend had grown 3x over eighteen months with no corresponding cost allocation model, so no one could say with confidence which product lines or teams were driving the increase.
The engineering team suspected waste — overprovisioned instances, orphaned resources, inefficient storage tiers — but had neither the bandwidth nor the specialised FinOps expertise to investigate systematically without pulling engineers off customer-facing roadmap work.
We started with a two-week baseline assessment before recommending a single change: a full inventory of the cloud estate, cost allocation by service and team, and a documented register of waste and rightsizing candidates. No optimisation action was taken until this baseline was reviewed and agreed with engineering leadership.
Within ninety days, the platform achieved a validated 34% reduction in monthly cloud spend, with zero degradation in application performance or reliability — every rightsizing change was tested against production traffic patterns before being finalised. The governance framework we put in place has kept spend flat as the platform has continued to scale.
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FinOps & Cost Optimization →A structured cloud cost assessment can show you exactly where the waste is — before you commit to fixing it.