Optimizing the Performance of Your Critical Big Data Applications

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Presented by

Bob Williams and Ryan Clark, Pepperdata

About this talk

Learn why your big data workloads and applications may be running slow and how to attain faster MTTR Webinar Date: Thursday June 27 Time: 8:00 AM Eastern / 5:00 AM Pacific Duration: 30 minutes Optimizing the Performance of Your Critical Big Data Applications Moving workloads and Hadoop and Spark applications to the cloud is either a reality or a near-term goal for an overwhelming number of enterprises. For most organizations, optimizing cloud use to improve operational efficiency and achieve cost savings is a primary objective. But migration of workloads is takes time, during which an organization must manage application performance both on-premises and in the cloud while maintaining a close watch on ROI. This webinar addresses key questions for organizations deploying big data workloads and applications: - Why is my application running slow / stopped? - How can I achieve faster MTTR and reduce resource requirements? - How can I save up to 50% on infrastructure spend and still achieve SLAs? - How can I automatically correlate application and infrastructure performance metrics to get the “big picture”? - How accurate are my cloud migration and long-term deployment cost estimates? Join the Pepperdata performance optimization team to learn more...
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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.