Pepperdata Capacity Optimizer eliminates the hassle of manual tweaking and tuning while delivering up to 50% cost reduction by:
Capacity Optimizer rapidly identifies where more work can be done and adds tasks to nodes with available resources. The result: CPU, memory, and I/O resources are automatically optimized to increase utilization, enabling more applications to be launched in both Kubernetes and traditional big data environments. Working autonomously in real time, Capacity Optimizer frees your developers to develop rather than fine tune.
A software company found that scaling Amazon EMR resources to handle workloads resulted in runaway costs. Check out the case study to see how Pepperdata significantly increased capacity for their Amazon EMR workloads and reduced costs by over 50%!
Ensure cluster stability and efficiency
Run more jobs on existing hardware
Avoid overspending on infrastructure
Run more jobs
Access additional cluster capacity
Spend less time in backlog queues
Report on capacity trends
Get accurate chargeback reporting
Increase productivity and ROI
Looking for a safe, proven method to reduce waste and cost by up to 50% and maximize value for your cloud environment? Sign up now for a 30 minute free demo to see how Pepperdata Capacity Optimizer Next Gen can help you start saving immediately.