Diagnosing Application Failures and Errors

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Presented by

Kirk Lewis

About this talk

This webinar will present the results of analyzing many Hadoop and Spark jobs on many multi-tenant production clusters. We will cover common issues seen, the symptoms of those issues, and how to address them. We will discuss the Pepperdata APM solution and discuss best practices for diagnosing application failures and errors. Pepperdata has gathered trillions of performance data points on production clusters running Hadoop and Spark, covering a variety of industries, applications, and workload types. We will present key performance insights — best and worst practices, gotchas, and tuning recommendations — based on analyzing the behavior and performance of millions of applications.
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Pepperdata is the Big Data performance company. Fortune 1000 enterprises depend on Pepperdata to manage and optimize the performance of Hadoop and Spark applications and infrastructure. Developers and IT Operations use Pepperdata solutions to diagnose and solve performance problems in production, increase infrastructure efficiencies, and maintain critical SLAs. Pepperdata automatically correlates performance issues between applications and operations, accelerates time to production, and increases infrastructure ROI. Pepperdata works with customer Big Data systems on-premises and in the cloud.