You receive so many alerts that aren’t specific enough to isolate and resolve problems. Pepperdata exposes all of the appropriate granular data, allowing you to create alerts that quickly pinpoint root causes.
Identify who is blowing up the big data cluster
Use Pepperdata’s rich data to track any exhaustible resource, including CPU, memory, IO and more (network ports) to alert on rogue users.
Identify which Hadoop or Spark applications will miss their SLAs
Use Pepperdata’s data on activity such as duration, amount of data processed or other milestone to alert on rogue applications.
Identify resource contention
Use Pepperdata’s data to alert when problems arise from multiple users or applications contending for resources on the big data platform.
Identify underperforming or failing hardware
Use Pepperdata’s rich and robust platform and infrastructure data to identify network errors, disk latency and potential capacity shortages.
Key Performance Indicators
- Improves mean time to root cause identification.
- Improves platform uptime.
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.
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. Request a trial today!