Maximize performance in your Kubernetes environment
Concerned about ever-increasing costs to run Apache Spark application workloads in their growing Amazon EKS environment, the data team at a leading consumer financial services brand embarked on an executive-led optimization journey to lower monthly costs.
In this case study, you’ll learn how they were able to use Pepperdata’s Capacity Optimizer to run the same workloads with 33% less infrastructure, leading to cost savings despite larger memory requirements. Read on now to find out you can maximize performance in your organization’s Amazon EKS environment.