Application Performance Management (APM) for Big Data Apps and Infrastructure

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Presented by

Kirk Lewis, Pepperdata Field Engineer

About this talk

Pepperdata Application Spotlight analyzes all Hadoop and Spark jobs running on the cluster and provides developers with technical insights on how each job performed. Intended for software engineers, developers, and technical leads who develop Spark applications, this webinar demonstrates how Application Spotlight helps developers quickly improve application performance, reduce resource usage, and understand application failures. Learn how developers can: – Maximize performance, improve productivity, guarantee reliability, and improve ROI – Generate application-specific recommendations to improve application performance – Highlight applications that need attention – Automatically identify bottlenecks, and alert on duration, failure conditions, and resource usage – Search for any applications running on the cluster, compare current and previous runs – Visualize Spark applications and its stages for easy root cause failure analysis and performance tuning Presenter Bio: Field Engineer, Kirk Lewis Kirk Lewis joined the Pepperdata team in 2015. Previously, he was a Solutions Engineer at StackVelocity. Before that he was the lead technical architect for big data production platforms at American Express. Kirk has a strong background in big data.
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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.