Enterprise class data storage technology continues to advance with amazing capabilities. So why do storage problems sometimes still disrupt production applications?
It is not because there is a lack of storage infrastructure operational metrics, rather, the most common reason is that the reporting is not predictive or easy for storage team members to proactively see the end-to-end issues across the complex, virtualized infrastructure.
This can be solved by automating the analysis and correlation of the data using built-in expert knowledge. The result is dynamically generated intelligence that gives the storage team actionable insights to keep storage infrastructure availability at optimum levels.
This webinar will discuss and demonstrate how intelligence is generated, and how it can proactively solve both performance and space oriented problems, including understanding burn rates and forecasted exhaustion dates.
Strategies for SAN Data Storage Infrastructure Predictability in 2018
Enterprise class data storage technology continues to advance, so why do storage problems still disrupt production apps?
End to End Storage Performance Visibility
The need for accurate end-to-end configuration information is crucial to simplify and speed up the root cause analysis of end-to-end performance issues.
End-to-End Storage Infrastructure Analytics
IntelliMagic Vision collects performance and configuration information on the VMware, fabric and storage systems to provide a complete and end-to-end picture.
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