360 ° Application View

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

Self-Service APM Access to your Application Performance Data

Complete Instrumentation of your Hadoop and Spark Applications

Quantify the Impact the Cluster has on your Applications

Explore 360° Application View

Application Tuning

Improve performance and efficiency of your Hadoop and Spark applications.

A Single Source for Application Performance Data Presented in Context of the Big Data Cluster

AI-Driven Optimization of Recurring Applications

Explore Application Tuning

Application Recommendations

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

Change Configuration Parameters to Optimize Performance

Tune CPU and Memory Reservations Based on Actual Consumption

Change Queue Selection or Launch Time Based on Cluster Activity

Explore Application Recommendations

Application Alerting

Create and receive alerts about events that interfere with application performance

Identify Cluster Bottlenecks

Identify Application Bottlenecks

Identify Hadoop and Spark Applications at Risk of Missing SLAs

Explore Application 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


Innovative companies are protecting and nurturing their most valuable asset—their customers—with the power of Pepperdata’s proven APM products.

Pepperdata partners with our customers to deliver predictable performance, managed cost, managed growth, and empowered users for their big data investments.

View Customers

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 teamsRequest a trial today!

Request Trial