Continuously tune and optimize your big data clusters.
Automatically Improve Performance without Manual Tuning
Continuously tune and optimize your cluster resources. Recapture wasted capacity so you can run more applications and get the most out of your infrastructure investment.
Improve Cluster Throughput Up to 50%
By monitoring your entire infrastructure in real time, and leveraging machine learning, Capacity Optimizer makes thousands of decisions per second and identifies unused capacity.
Overcome the Limitations of YARN
Limited by its conservative memory usage assumptions, YARN (Yet Another Resource Negotiator) under-provisions resources and does not monitor containers once they start running. Capacity Optimizer monitors actual per-task hardware usage and dynamically makes adjustments, eliminating inefficiencies and bottlenecks to maximize resource usage.
- Ensure cluster stability and efficiency.
- Avoid overspending on hardware.
- Reduce time spent on capacity planning.
- Run more jobs on existing infrastructure.
- Run more jobs faster.
- Access additional cluster capacity.
- Spend less time in backlog queues.
- Report on capacity trends
- Get accurate chargeback reporting
- Increase productivity