Driving Storage Lifecycle Efficiency With Data Science
Through the application of systems modeling, predictive algorithms, and statistical analysis, InfoSight is able to solve some of the most difficult challenges in storage administration, support, and product development.
At the heart of InfoSight is a powerful engine comprised of deep data analytics applied to telemetry data gathered from Nimble arrays deployed across the globe. More than 30 million sensor values are collected per day per Nimble Storage array.
The InfoSight Engine transforms the millions of gathered data points into actionable information that allows customers to realize significant operational efficiency through:
- Maintaining optimal storage performance
- Projecting storage capacity needs
- Proactively monitoring storage health and getting granular alerts
InfoSight Engine Components
InfoSight’s data analytics technology operates on a foundation of deep data to enable innovative capabilities:
- Systems Modeling: Workload data feeds detailed systems models to generate recommendations on how to improve performance
- Predictive Algorithms: Historical trends are analyzed intelligently to extract organic data growth rates and predict capacity needs
- Statistical Analysis: Continuous pattern matching and event correlation find issues proactively, and trigger alerts to maintain storage health
Nimble Storage Chief Data Scientist Lawrence Lancaster and Vice President of Support Rod Bagg describe the InfoSight architecture, features, and benefits. (5:04)
Additional Resources
Download the InfoSight Datasheet
Learn more about the InfoSight Portal
Learn more about Proactive Wellness
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"The capacity trending and forecasting is far more usable than other tools I have seen. And the powerful data analytics behind the scenes gives me a much more accurate projection of my capacity needs than a back of the envelope calculation."
Dave Pritt, Business Services Manager, Saunderson House Limited