Nimble infosight install#

We learn IO signatures and performance patterns, we learn from past support cases, and we learn from any problem experienced in the installed base – which we apply to prevent other systems from experiencing known problems. Because we’ve been at this for years, we constantly learn from the installed base.Starting with predictive support automation. Now I’d like to share with you some of the platform capabilities.They are the intelligent, automatic decisions that will enable infrastructure to be fully autonomous. Imagine never having to worry about problems ever again and having the ability to see ahead to make the optimal decisions for your infrastructure– these are preemptive recommendations. We have added an AI recommendation engine that expands the predictive capabilities of the Infosight platform to provide preemptive recommendations.We’ve been on this journey for nearly a decade. (Click) To realize this vision, you need AI for your data center – and that’s HPE InfoSight. That’s the ability: To self-drive – freeing IT from dealing with problems to planning for the future To self-heal – putting an end to disruptions by predicting and preventing problems To self-optimize – ensuring the ideal environment that balances performance, cost, and resources (Click) All done without the need for IT intervention, so you can spend less time managing infrastructure and more time on the things that drive your business forward. Our vision is autonomous infrastructure.This is where HPE is going and why we’re in a unique position to close the app-data gap Imagine the breadth and depth we’ll be able to collect across 60,000 3PAR arrays and hundreds of thousands of ProLiant servers.

Nimble infosight install#

The data I just discussed was across an install base of 10,000 customers when Nimble was a storage-only company. Non-Stop Availability with InfoSight Predictive AnalyticsĢ50B sensor values, >2B log events, >100Million configuration variables every day…which amounts to over 370 trillion data points since 2010). Pareto Principle for Infrastructure ProblemsĪrchitecting the AI Recommendation Engine HPE InfoSight Recommendations Go Beyond the Obvious Preemptive Recommendations for Your Data Center Preemptive Recommendations in Use EverydayĮliminating the Guesswork in Managing Infrastructure InfoSight Prevented 600 Systems from Having an ESX Issue Problem Prevented Before the Customer Knew About the Issue Issue: InfoSight detected a controller went down unexpectedly Predictive Support Automation Proactive Management Continuous Improvement Preemptive Recommendationsīlacklist Updates Associated with Known Problems Predictive Analytics Engine Global Learning Powered by HPE InfoSight: AI for the Data CenterĬollecting and Analyzing Millions of Sensors per Second InfoSight collects and analyzes more sensor data points every four hours, Predictive Analytics can close the app-data gap Source: InfoSight analysis HPE customer baseĬloud Analytics Global LearningRich Telemetry Disruptions, business impact, and wasted time