Case Study: InCred Finance achieves 30% cloud cost savings with CAST AI

InCred Finance cuts compute costs by 30% with CAST AI

InCred Finance, a cloud-native financial services company, faced increasing complexity and cost in its Kubernetes infrastructure as it scaled. Despite using open-source optimization tools, the company struggled with operational overhead, manual maintenance, and a need for deeper savings, which prompted its search for a new solution. This led them to the CAST AI platform.

CAST AI provided a solution featuring rebalancing and a Workload Autoscaler to automate node optimization and intelligently adjust resources. The implementation resulted in 30% monthly savings on compute costs, a dramatic increase in team productivity, and extra savings from optimized Spot Instance usage. The hands-off automation also reduced a task that took seven days down to three or four.

InCred Finance