Visual Storage Intelligence
Visual Storage Intelligence
Category
Storage Management Innovation of the Year
Entry Description
Delivered as a Storage Resource Management-as-a-Service (SRMaaS), Visual Storage Intelligence® (VSI) provides data-driven insights into performance, capacity, utilization and governance challenges. These insights allow you to save time, reduce costs and improve efficiency. VSI simplifies your storage management process by organizing independent data elements into a unified, visual analysis across your multi-vendor storage environment. With an automated data collection process, VSI offers actionable intelligence through consistent reporting on existing arrays at 7 levels, from the Host/LUN to the Business Unit; providing a single pane of glass across the enterprise. VSI provides you with the insight you need to plan ahead, so that you can forecast precise outcomes, improve budgeting accuracy, track your growth trends, negotiate new storage purchases while avoiding any unnecessary, reactive purchases, and much more.

This year we added a whole new level of capacity planning tools and modeling capabilities. These features use your past growth rate to compute future projections and allow you to model both capacity adjustments (increase or decrease) and workload changes to the historical growth rate projections – then shows your data against 70-80 – and 100% utilization thresholds so customers can see when those thresholds will be crossed. This allows customers to purchase what they need and make sure it will last for the desired period of time. One of the major features added is not only can you do this planning and the device level, but you can also build capacity plans at the:
a. Data center level
b. Device classification level
c. Device type level
d. Application level

These additional capabilities allow customers to “cluster” a set of resources as an entity and not just treat each device individually, so they can now maximize their expense dollars and manage overall resources more effectively.

We have also included AI-based weekly data mining of customers storage data and trends – which produces a weekly email to the customer with:
a. Changes in the customer environment in the past week
b. Performance changes and comparisons across all storage arrays but also across all hosts and luns mapped to each array
c. Specific alerts and error conditions found and those requiring remediation
d. Pattern changes in workload and the array, pool and host level are noted and changes recommended if needed
e. And single point of failures alerts or exposures which could cause an outage if left unchanged.