Pepperdata has saved companies over $200M over the last decade by reclaiming application waste and increasing your hardware utilization to reduce costs in the cloud. It completely eliminates the need for manual tuning, applying recommendations, or changing application code: it's autonomous, real-time cost optimization.

Not every application has wasted capacity in it—or do they? Watch Ben Smith, VP Technical Operations at Extole, discuss how he discovered that there's around 30% of application waste within every running app, and how Extole went about saving that wasted capacity.

Watch Mark Kidwell, Chief Data Architect of Data Platforms and Services at Autodesk, explain why the company included Pepperdata as part of their core automation process for optimizing their Apache Spark applications.

Wondering how to get Pepperdata Capacity Optimizer implemented into your application environment?

Pepperdata Capacity Optimizer Next Gen is the only cost optimization solution for both Apache Spark and microservices that can save you between 30–47% on your cloud bill. No matter if you try to manually tune your applications on your own, an estimated one-third of what is spent every day on cloud computing resources is wasted. While you might have cost-optimized your infrastructure with things like savings plans, spot and reserved instances, that doesn’t address the waste inherent in your applications.

Learn how Pepperdata uses machine learning to provide Continuous Intelligent Tuning automatically to your Amazon EKS applications, helping your platform team recover wasted capacity and ultimately reduce your spend for cloud resources.

Pepperdata Capacity Optimizer Next Gen is the only cost optimization solution for both Apache Spark and microservices that can save you between 30–47% on your cloud bill. No matter if you try to manually tune your applications on your own, an estimated one-third of what is spent every day on cloud computing resources is wasted. While you might have cost-optimized your infrastructure with things like savings plans, spot and reserved instances, that doesn’t address the waste inherent in your applications. Pepperdata is the only cost optimization solution that.

With cloud cost optimization critical in establishing an innovative big data framework, AWS and Pepperdata gathered multiple experts to discuss how to maximize your savings with Amazon EMR and Pepperdata.

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.