Pepperdata Capacity Optimizer automatically optimizes your big data cluster resources and recaptures wasted capacity so you can run more applications and get the most out of your infrastructure investment.
Capacity Optimizer enables you to:
By monitoring the entire infrastructure in real time and leveraging active resource management, Capacity Optimizer identifies where more work can be done and adds tasks to servers with available resources. On a typical cluster, Capacity Optimizer makes thousands of decisions per second on how to best optimize your big data clusters. Even the most experienced operator can’t make manual configuration changes at this precision and speed.
Cloud providers provision infrastructure based on the peak needs of workloads. This guarantees the maximums are met, but can create a lot of waste. Capacity Optimizer makes thousands of decisions per second, analyzing the resource usage of each node in real time to optimize the utilization of CPU, memory, and I/O resources on big data clusters. The net effect is that horizontal scaling is optimized and waste is eliminated.
Capacity Optimizer for Amazon EMR is available on AWS Marketplace as part of Pepperdata Cloud. In addition to automatically tuning your cloud deployment for optimal performance, get full-stack observability, automated tuning, and real-time insights across your entire Amazon EMR—all in one place. Automatically optimize your big data and deliver superior application performance.
Pepperdata products provide complete visibility and automation for your big data environment. Get the observability, automated tuning, recommendations, and alerting you need to efficiently and autonomously optimize big data environments at scale.