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.
Pepperdata Capacity Optimizer Next Gen eliminates the need for recommendations when it comes to optimizing your Amazon EKS environment.
Watch this co-sponsored webinar from Pepperdata and AWS to learn:
Pepperdata Capacity Optimizer Next Gen for Amazon EKS autonomously optimizes your cluster resources by recapturing wasted capacity with Continuous Intelligent Tuning. Pepperdata:
Pepperdata surveyed 800 Kubernetes experts about the growth of their Kubernetes clusters and the resulting management challenges.
Download the report to learn:
Receive your free Customized Savings Assessment detailing your estimated savings from deploying Pepperdata.
It’s easy, secure, and requires no workload profiling.
Have your cluster activity securely analyzed in real time
See your total estimated waste and top 10 most wasteful queues by memory hours, core hours, and instance hours
Review your estimated savings from Pepperdata Capacity Optimizer free of charge
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 Next Gen can help you start saving immediately.