How to run the same Kubernetes workloads for a lower price

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.

Vendor:: Pepperdata
Posted:: Sep 17, 2024
Published:: Sep 17, 2024
Format:: PDF
Type:: Case Study

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