Case Study: Global Software Developer boosts Spark performance and cuts costs with Pepperdata

Global Software Developer Improves Spark Performance and Cuts Costs

Global Software Developer, a global software products and services company, was struggling to optimize Apache Spark performance while keeping resource consumption and costs under control. Their Spark workloads were frequently running out of capacity, and the team lacked the in-house expertise and visibility needed to tune jobs efficiently. Pepperdata’s Capacity Optimizer and Application Spotlight were used to help address these Spark-related performance and capacity challenges.

With Pepperdata, Global Software Developer gained better observability into Spark jobs and automated optimization recommendations that helped reduce waste, improve cluster utilization, and support more workloads without continually adding resources. The company reported immediate improvements in efficiency and was working toward a goal of reducing Spark costs by 50%, while also avoiding the overprovisioning that had previously driven costs up.