Hosted by SiliconAngle and theCUBE, Pepperdata CEO Ash Munshi walks through the history of Pepperdata as well as the importance of cloud cost optimization in the world of cloud computing. Also, Senior Solution Architect Kirk Lewis gives a demo of our two solutions: Capacity Optimizer Classic—which is designed for DevOps—and Capacity Optimizer Next Gen, which focuses on the financial side of optimizing the cloud.

Pepperdata CEO Ash Munshi discusses Pepperdata's origin from stabilizing big data workloads to optimizing cloud costs in real time. With cost control becoming an imperative for companies with an uncertain economic outlook—as well as a difficulty in managing how they spend in the cloud—Munshi walks through how Pepperdata reduces cloud costs for companies in the Fortune 5 through autonomous and continuous resource utilization.

Running your infrastructure in the cloud can lead to wasted resources and ultimately overspending. Pepperdata Capacity Optimizer for Amazon EMR operates dynamically in real time to optimize performance without the need to model your workloads ahead of time, change application code, or platform settings. It provides autonomous optimization continuously, improving resource utilization at both the instance level and with the EMR autoscaler. Watch the full video for a deep-dive on how Pepperdata solves the problem of cloud overspending and resource waste without manual intervention.

Running your infrastructure in the cloud can lead to wasted resources and ultimately overspending. Pepperdata Capacity Optimizer for Amazon EMR operates dynamically in real time to optimize performance without the need to model your workloads ahead of time, change application code, or platform settings. It provides autonomous optimization continuously, improving resource utilization at both the instance level and with the EMR autoscaler. Watch the full video for a deep-dive on how Pepperdata solves the problem of cloud overspending and resource waste without manual intervention.