Case Study: AccessFintech achieves 60% lower CPU requests with ScaleOps

AccessFintech - Customer Case Study

AccessFintech, a financial technology company, faced significant challenges with the manual management of Kubernetes resources across its production environments. This manual process led to inefficiencies, inconsistent resource allocation, and a high risk of service disruption, which threatened reliability for their clients. The company needed an automated solution to handle its dynamic and demanding workloads.

AccessFintech implemented ScaleOps to automate the optimization of its containerized workloads. The solution provided real-time adjustments to CPU and memory requests, optimized critical applications like Kafka, and featured auto-detecting policies for ease of use. As a result, ScaleOps enabled a more than 60% reduction in CPU allocation requests, leading to significant cost savings. This automation also enhanced system reliability and freed the engineering team to focus on strategic innovation.

AccessFintech

Sagi Tiger

Head of Infrastructure Operations