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 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 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.

Before Pepperdata, we experimented with various approaches to solve our performance issues, but we couldn’t see deep enough into the cluster. Pepperdata shined a bright light into our Hadoop environment and provided the detailed data that helped us isolate and resolve the problem.- Software Architect at Philips Wellcentive
At Rubicon Project, having the appropriate visibility and insight into our Big Data applications is extremely important when delivering detailed reports to our clients and meeting our SLA. We challenged Pepperdata to find a solution to profile our applications before going to production that would help us maintain our customer SLA as we introduce new applications. Pepperdata listened to us and quickly understood the problem we were trying to address.- Senior Systems Engineer at Rubicon Project
The level of support and expertise that we receive from the Pepperdata team made a big difference to us. Pepperdata worked closely with us on our implementation to ensure success. With Pepperdata Capacity Optimizer, the DevOps team runs more jobs, faster. We’ve seen a big performance boost across the cluster and have a much more efficient data footprint. Using the Pepperdata dashboard to see application-level metrics, unique custom views, resource utilization per workload drilldowns, and hardware utilization by various workgroups has significantly improved the way that we manage and troubleshoot.- Senior Manager of EDW Operations Engineering at Expedia

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.

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