Your operators are challenged with configuring and sizing critical resources running on multi-tenant clusters with mixed workloads. Pepperdata provides actionable reporting and recommendations to rightsize containers, queues and other resources.
Size big data queues appropriately based on criticality
Get recommendations for queue sizing.
Size containers for optimal resource consumption
Get recommendations for optimal container sizes for workloads.
Accurately forecast resource needs
Identify growth trends across resource groups.
Key Performance Indicators
- Improves platform efficiency and performance.
- Enables you to do more work with your platform.
Pepperdata Shines a Light Into Healthcare Hadoop Cluster
Philips Wellcentive fixed the root cause of a critical performance issue in their Hadoop environment within days of installing Platform Spotlight. Using Pepperdata also enabled them to achieve 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.
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 clusters.