Eliminate Waste and Reduce Costs with Pepperdata Capacity Optimizer Managed Cloud Autoscaling
Autoscaling provides the elasticity that customers require for their big data workloads, but this can also lead to runaway costs. Pepperdata Capacity Optimizer intelligently augments autoscaling to ensure all nodes are fully utilized before additional nodes are created, eliminating waste and reducing costs.
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.
Pepperdata provides automated deployment options for customers that can seamlessly be added to EMR, Dataproc and Qubole deployments. In addition to automatically tuning your cloud deployment for optimal performance, Pepperdata helps:
Reduce troubleshooting time by 90% by leveraging targeted performance insights
Tune application resources for peak efficiency with prescriptive recommendations
Automatically detect and alert on bottlenecks that impact SLAs