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App to Data Gap? Answer: Predictive Flash

Enterprises expect data to be available instantly, but complex infrastructure creates an app to data gap that disrupts data delivery and makes end users wait.  Preliminary findings of a Nimble Storage primary research study reveals that 90 percent of business users surveyed, report experiencing application delays; with nearly half experiencing delays at least three times each work day. Also, 80 percent reported that delays impact their productivity. Closing the app to data gap requires predicting and preventing barriers to data velocity, no matter where the barriers occur across IT infrastructure. 
 
“Enterprises are totally dependent on data to improve customer interaction, accelerate product development and run the back office. Immediate data access is critical to maintaining competitive edge. It’s clear that complex infrastructure creates an app-data gap that slows down data delivery which impacts critical business processes. The Predictive Flash Platform combines flash performance with predictive analytics to close the app-data gap even when the barriers to data velocity are not storage related. This translates to business and economic value for customers by accelerating business outcomes.” said Suresh Vasudevan, CEO, Nimble Storage. 
 
Continuing to remove barriers to data velocity through innovations such as the all new AF-Series All Flash arrays from Flash Vendors are purpose-built to deliver absolute performance, superior scalability and non-stop availability, at a total cost of ownership (TCO) that is 33 to 66 percent lower than traditional arrays. However, fast Flash alone is not enough to close the app to data gap given that more than 50 percent of barriers to data velocity take place outside of the storage architecture. What is required is to proactively predict and prevent these issues by providing visibility across the entire application to storage stack. A Predictive Flash platform combines flash performance with Predictive Analytics to deliver data velocity.
 
Michael Landeck, principal infrastructure engineer in Technical Operations for Siemens PLM Software, a world-leading provider of product lifecycle management and manufacturing operations management software provides a use case for us:

“Our design and product lifecycle management software is used by companies worldwide to design everything from golf clubs and smart phones, to automobiles and airplanes, and even to the latest NASA Mars Rover, Curiosity. In my department, our biggest challenge was keeping pace with increasing workload demands across our legacy software development and support infrastructure. With Nimble All-Flash Arrays, our software development teams are now able to conduct deeper integrations and achieve faster iterations across testing and design automation environments than they’ve ever been able to accomplish before. The value we realise with Predictive Analytics is the ability to have a server-centric view of our IT environment giving us trend analysis on not only where we are today, but where we are going in the future. This enables us to predict and prevent downtime, which is very important to our efficiency.” 

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