Total Performance Management (TPM) for Hadoop and Spark

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Presented by

Alex Pierce

About this talk

Pepperdata makes Hadoop+YARN based systems better by providing total performance management (TPM) for big data. Total performance management is the combination of application performance management (APM) and operations performance management (OPM) in a single package so developers and operators can rely on the same underlying information to build and operate highly performant big data applications in multi-tenant clusters. For developers, the Application Spotlight self-service APM portal surfaces applications that need attention from a performance perspective. For these applications, Application Spotlight provides precise recommendations to improve performance, automatically identifies bottlenecks and makes it easy to analyze root cause of errors and failures. For operators, the Cluster Analyzer OPM solution makes it easy to identify applications and users causing issues on the platform, proactively alert on those issues, and improve cluster performance. We also have roll up reports for things like chargeback and capacity planning. The Capacity Optimizer add-on module automatically increases cluster throughput 30-50% by addressing some of the inefficiencies of how YARN does resource management today. Join us for this webinar presented by Alex Pierce and learn how we can bring performance management to your applications and your cluster.
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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.