Cutting a Series-A Fintech's Cloud Bill by 40% Without Touching the Roadmap
- Client
- Series A fintech (confidential)
- Year
- 2025
- Stack
- kubernetes, aws, cost-optimization
40% reduction in monthly cloud spend, delivered without any roadmap disruption.
The engineering team had a clear mandate: extend runway without slowing down feature delivery. Their AWS bill had grown in step with the product for two years, and nobody had had time to ask which parts of it were still earning their keep. I ran a two-week audit across compute, storage and data transfer, working alongside the platform team rather than around them, and found the usual culprits hiding behind a healthy-looking dashboard: oversized instance classes chosen once and never revisited, three full staging environments running around the clock, and a logging pipeline shipping far more data than anyone was querying.
The fix wasn't a rewrite. It was right-sizing compute against real usage data, collapsing staging environments into an on-demand model, and tuning log retention and sampling to match what the team actually looked at during incidents. None of it touched the application code or the product roadmap. Within a month, the monthly bill was down 40%, and the savings were large enough to extend runway by several months — money the founders redirected straight into hiring.