Pepperdata Integrates Performance into DevOps for Big Data

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by Angela Guess

A recent press release reports, “Pepperdata, the Big Data performance company, today announced it is expanding its product portfolio with Pepperdata Application Profiler, providing Hadoop and Spark developers with easy to understand recommendations for improving job performance. Application Profiler is currently available in early access and will be generally available in the second quarter of 2017. Modern distributed systems and applications are more complex than ever, and achieving optimal performance remains one of the most significant challenges of Big Data. ‘For Big Data, performance can mean the difference between business critical and business useless,’ said Ash Munshi, CEO of Pepperdata. ‘For four years, Pepperdata has been helping Ops Teams with their Big Data infrastructure. Now we are empowering Dev Teams by providing them with clear insight and actionable suggestions on improving Hadoop and Spark job performance’.”

The release goes on, “Application Profiler is based on the open source Dr. Elephant project originally created by LinkedIn Corporation. Application Profiler and Dr. Elephant help improve Hadoop and Spark developer productivity and increase cluster efficiency by making clear recommendations on how to tune workloads and configurations. Application Profiler delivers the capabilities of Dr. Elephant, but as a simple to adopt SaaS offering that is very easy to deploy and use. Application Profiler supports Spark and MapReduce on all standard Hadoop distributions: Cloudera, Hortonworks, MapR, IBM and Apache.”

Read more at Marketwired.

Photo credit: Pepperdata

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