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 infrastructure investment
Increase hardware utilization and eliminate or reduce millions of dollars in hardware costs.
Autoscale 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
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.
Pepperdata Shines a Light Into Healthcare Cluster
Philips Wellcentive fixed the root cause of a critical performance issue within days of installing Platform Spotlight. The cluster achieved a significant increase in cluster performance throughput. Jobs completed on time and SLAs were met. The technical team returned to focusing on core initiatives, streamlining operations, and meeting revenue targets.
See firsthand how Pepperdata solutions bring APM to every phase of the big data DevOps cycle with solutions for monitoring, tuning, troubleshooting, and improving collaboration between teams.
Schedule a demo today!