Application Alerting

You submit your Hadoop query. Now what? You have no insight into when it starts running, if there are delays, and if it’s going to finish. In addition to surfacing performance bottlenecks, Pepperdata allows you to create alerts on specific behaviors and outcomes so you know when an application is at risk of failure.

Identify Hadoop cluster bottlenecks

Use Pepperdata’s rich data to identify any resource bottleneck, including CPU, memory, IO and more.

Identify application bottlenecks

Use Pepperdata’s data to pinpoint straggling tasks or poor parallelization that can significantly impact runtime.

Identify applications at risk of missing their SLAs

Use Pepperdata’s data to alert on thresholds such as duration, amount of data processed or other milestone.


Key Performance Indicators

  • Improves application runtime predictability.
  • Informs developers of cluster events that impact applications.

Rubicon Project Improves Big Data Performance and
Streamlines Automated Advertising Solution

Rubicon Project automates the process of buying and selling of advertising for advertisers, publishers, and ad agencies. Platform Spotlight gave Rubicon Project the granular visibility they needed to quickly pinpoint, troubleshoot, and resolve problems in their multi-tenancy Hadoop cluster.

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.- 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.- Manager of Data Engineering at Chartboost

Request a trial today and see firsthand how Pepperdata 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 how Pepperdata makes it easy to pinpoint and resolve big data performance bottlenecks. See for yourself why Pepperdata APM solutions are being used to manage big data performance on over 30K production clusters. 

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