Case Study: a mid-sized ecommerce company uncovers $100K+ in hidden AWS waste with Deductive AI

Mid-Sized Ecommerce Company uncovers $228K in 6 months of AWS waste with Deductive AI

A mid-sized ecommerce company was struggling with unpredictable and unexplained volatility in its AWS bill, which swung between $150K and $250K monthly. Despite having seemingly optimized individual resources, the team could not pinpoint the cause of the cost swings. They engaged Deductive AI to perform a forensic audit of their cloud infrastructure to find the source of the waste.

Deductive AI used its platform to perform a 10-minute audit that analyzed cost, usage, and infrastructure data across multiple services. The solution identified hidden architectural inefficiencies, including a massively over-provisioned ElastiCache cluster, unnecessary costs from cross-region container image pulls, and the aggregate expense of operating approximately 100 EKS clusters. This analysis uncovered over $100,000 in hidden waste and provided the customer with a prioritized plan to achieve significant savings.