The popularity of Amazon Elastic MapReduce (EMR) has soared over the last couple of years thanks to its ability to simplify big data processing. EMR provides a managed Hadoop framework that makes it easy, fast, and cost-effective for customers to distribute and process vast amounts of data – but all good things can be improved upon.

Today we are announcing a new offering that enables customers using Amazon EMR to run jobs up to four times faster and simultaneously cut costs. With a single configuration change to their EMR setup, joint customers gain instant, granular visibility into their clusters’ run time performance, which is not possible through Amazon alone. Pepperdata analyzes runs using over 300 real-time metrics across hardware and applications to provide useful insights, such as unused capacity and to identify top jobs by duration to effectively troubleshoot EMR workloads and easily identify code inefficiencies.

By using this new service, DevOps teams will be able to access fine-grained monitoring data that allows users to view a run, analyze it, and then compare it with historical data to improve future performance – even after the cluster has terminated.

And if that wasn’t enough of a reason to get excited, Pepperdata customers can take advantage of this new service free of charge until the end of the year. To get started saving money today, sign up here.

Take a free 30-day trial to see what Big Data success looks like

Pepperdata products provide complete visibility and automation for your big data environment. Get the observability, automated tuning, recommendations, and alerting you need to efficiently and autonomously optimize big data environments at scale.