YARN static scheduling wastes cluster resources. Pepperdata Capacity Optimizer increases throughput up to 50% by leveraging AI-driven resource management to automatically tune cluster resources and recapture wasted capacity.
Maximize your existing big data infrastructure investment
Increase hardware utilization and eliminate or reduce millions of dollars in hardware costs.
Autoscale Hadoop cluster resources for peak efficiency
Rightsize resource allocation based on actual real-time capacity.
Works with existing YARN scheduler
Be confident that all your YARN capabilities will remain intact.
Identify applications reading and writing small files and improve HDFS performance
Improve system scalability by determining which applications and users are reading and writing small files, impacting the overall performance of your HDFS environment.
Key Performance Indicators
- Demonstrably improves throughput.
- Reduces backlog.
Request a trial to see firsthand how Pepperdata big data solutions can help you achieve big data performance success. Pepperdata’s proven APM solutions provide a 360° degree view of both your platform and applications, with realtime tuning, recommendations, and alerting. See and understand how Pepperdata big data performance solutions helps you to quickly pinpoint and resolve big data performance bottlenecks. See for yourself why Pepperdata’s big data APM solutions are used to manage performance on over 30K Hadoop production nodes.