SAN FRANCISCO, June 13, 2017 /PRNewswire/ -- #PureStorage (NYSE: PSTG), the market's leading independent all-flash data platform vendor for the cloud era, today announced #Pure1® META, it's Artificial Intelligence ( #AI ) platform for delivering on the vision of self-driving storage. Pure1 META is delivers global predictive intelligence by collecting and analyzing over 1 trillion array telemetry data points per day and enables effortless management, analytics and support. Pure1 META represents a major breakthrough in enterprise artificial intelligence and machine learning. Through the new Workload DNA generated by Pure1 META, customers will be able, for the first time in the industry, to predict both capacity and performance and get intelligent advice on workload deployment, interaction and optimization. With Pure1 META, Pure Storage continues to advance in its vision of delivering self-driving storage. Pure set up the foundation for self-driving storage with array-level automation delivered by Purity, which eliminates manual management and tuning operations. Building a global sensor network with thousands of connected arrays allowed Pure to deliver cloud-based management and predictive support that has prevented more than 500 Severity 1 issues to date. Now, with Pure1 META, customers can get answers to performance forecasting questions, instead of workarounds that resulted in wasted expenses from over-provisioning or downtime from under-provisioning. "For the first time, customers can leverage intelligent storage that constantly analyzes historical data across our global network of devices to improve their overall environment," said Matt Kixmoeller, VP of Products, Pure Storage. "Pure1 META helps customers more accurately forecast performance through growth, answer questions about capacity and performance additions, and how their environment will change over time, which allows organizations to manage future needs." The key driver behind the global predictive intelligence of Pure1 META, is the META AI Engine, which analyzes a data lake of more than 7 petabytes of data to generate both Issue Fingerprints and Workload DNA. META scans all incoming array telemetry against a library of issue fingerprints to predict and resolve incidents in real-time, before they impact customer environments, and captures hundreds of variables related to performance that are used to forecast performance load. Customers can leverage META's Workload DNA through the new Workload Planner in Pure1. This new capability will allow customers to answer questions about new workload deployment, interaction, performance and capacity growth, and workload optimization, helping reduce risk, increase consolidation, and provide better visibility to plan for upgrades or expansions. Pure also announced the new Global Dashboard in Pure1, which simplifies the management experience by providing key aggregate metrics from an entire fleet of arrays. From a single dashboard, customers will be able to view the total data reduction and average load performance for all arrays. Performance trends for the last 24 hours are also shown and customers can plan more effectively with capacity consumption prediction across all arrays. Recent alerts and messages across the fleet of arrays also enables better visibility of the storage footprint. To learn more about the new Pure1 META, Workload Planner, VM Visibility, and Global Dashboard, please visit our blog. You can also join us today and tomorrow – June 13 & 14 – for our annual user conference, Pure//Accelerate, at Pier 70 in San Francisco via live stream.
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