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.