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 Hadoop Performance and Streamlines Automated Advertising Solution

Pepperdata Platform Spotlight gave Rubicon Project, a leading technology company that automates the process of buying and selling of advertising for advertisers, publishers, and ad agencies, the granular visibility they needed to quickly pinpoint, troubleshoot, and resolve problems in their 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

Pepperdata can help you achieve big data success with a proven APM solution that provides a 360° degree view of your platform and your applications, with real time tuning, recommendations, and alerting. Request a trial today!

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