Autonomously optimize your Apache Spark cluster resources on top of Managed Autoscaling, Karpenter, Spark Dynamic Allocations, and other traditional optimization efforts such as manual tuning.
Pepperdata delivers:
If you’re running Spark, give us 6 hours, we’ll save you 30% or more on top of everything you’ve already done.
Saved in one month
Reduced instance hours
Improved normalized core efficiency
Cost Savings: Reduced instance hour consumption
Improved Performance: Decreased application runtime
Increased Throughput: Uplift in average concurrent container count
*TPC-DS is the Decision Support framework from the Transaction Processing Performance Council. TPC-DS is an industry-standard big data analytics benchmark. Pepperdata’s work is not an official audited benchmark as defined by TPC. TPC-DS benchmark results (Amazon EKS), 1 TB dataset, 500 nodes,
10 parallel applications with 275 executors per application.
Looking for a safe, proven method to reduce waste and cost by up to 47% and maximize value for your cloud environment? Sign up now for a free savings assessment to see how Pepperdata Capacity Optimizer can help you start saving immediately.