What is Pepperdata?

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Pepperdata

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Pepperdata has engineered a big data APM solution that empowers operators to automatically optimize the performance and capacity of their big data infrastructure while enabling developers to improve the performance of their applications. Unlike other APM tools that merely summarize static data and make application performance recommendations in isolation, Pepperdata delivers complete system analytics on hundreds of real-time operational metrics continuously collected from applications as well as the infrastructure — including CPU, RAM, disk I/O, and network usage metrics on every job, task, user, host, workflow, and queue. The result is a comprehensive, intuitive dashboard that provides a holistic view of cluster resources, system alerts, and dynamic recommendations for more accurate and effective troubleshooting, capacity planning, reporting, and application performance management. Pepperdata diagnoses problems quickly, automatically alerts about critical conditions affecting system performance, and provides recommendations for rightsizing containers, queues and other resources. Leveraging AI-driven resource management, Pepperdata tunes and optimizes infrastructure resources to recapture wasted capacity and get the most out of the infrastructure. Welcome to the new world of real-time big data application and infrastructure performance management. Welcome to Pepperdata. Optimize your infrastructure, your applications, and your time — at scale.
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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.