Platform Spotlight

Pepperdata Platform Spotlight continuously monitors and collects unique data that is not available anywhere else — about your hosts, queues, users, applications and all relevant resources, and provides you a 360° cluster view that enables you to quickly diagnose performance issues and make resource decisions about your big data platform based on user priorities and needs. Platform Spotlight leverages AI-driven resource management to automatically tune Hadoop and Spark clusters and recapture wasted capacity. Create alerts to identify root causes, and receive recommendations to rightsize containers, queues and other resources.

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360° Platform View
Platform Tuning
Platform Recommendations
Platform Alerting
360° Reports

360° Platform View

Create a Holistic Source of Performance Truth Across Your Big Data Clusters.

A Single Source of Operational and Performance Truth

Complete Instrumentation of Your
Big Data Ecosystem

Quantify the Impact Apps
have on the Cluster and the Impact
the Cluster has on Apps

Attribute Accurate Costs to Users
and Business Units

Explore 360° Platform View

Real-time Platform Tuning

Automatically Recover Wasted Cluster Resources.

Maximize Your Existing Infrastructure Investment

Autoscale Big Data Cluster Resources for Peak Efficiency

Platform Tuning

Platform Recommendations

Create a holistic source of application performance truth across your big data clusters.

Size Queues Appropriately Based on Criticality

Size Containers for Optimal Resource Consumption

Accurately Forecast Resource Needs

Platform Recommendations

Platform Alerting

Create and Receive Alerts that Identify Root Causes.

Identify Who is Blowing Up Your Big Data Cluster

Identify Which Hadoop and Spark Applications Will Miss Their SLAs

Identify Resource Contention on Your Multi-tenant Big Data Platform

Identify Underperforming or Failing Hardware

Platform Alerting

I develop a lot of complex Spark code to perform ETL on Hadoop clusters. In these complex, large-scale systems, you must be able to understand where the performance bottlenecks are. Pepperdata Application Spotlight gives developers detailed time-series performance data for things like CPU, JVM memory, and I/O usage overlaid against Spark job stages. I’m excited about the direction Pepperdata is moving — letting developers quickly see problems in time-series views and tie them back to their actual Spark application code will be a very useful tool for developers working on production Spark applications.

Ian O’Connell, Software Engineer at Stripe and Pepperdata Technology Advisory Board Member
Chartboost is the world’s largest mobile games-only advertising platform, reaching one billion active players around the world every month. Chartboost utilizes Apache Spark on large Amazon EC2 Hadoop clusters for machine learning and ETL workflows. Understanding Spark application performance in these complex environments is always a challenge. As a current user of Pepperdata Platform Spotlight, it has been great to work with Pepperdata on the development of the Application Spotlight self-service portal software. It will give us a comprehensive insight into Spark jobs..

Michael McGowan, Manager of Data Engineering at Chartboost

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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!

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