Performance graphs and guidelines
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The Performance page provides graphs and tables of data that enable you to assess the storage array's performance in several key areas.
Performance functions allow you to accomplish these tasks:
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View performance data in near real-time to help you determine whether a storage array is experiencing problems.
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Export performance data to construct a historical view of a storage array and identify when a problem started or what caused a problem.
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Select the objects, performance metrics, and time frame you want to view.
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Compare metrics.
You can view performance data in three formats:
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Real-time graphical — Plots performance data on a graph in near real-time.
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Near real-time tabular — Lists performance data in a table in near real-time.
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Exported CSV file — Allows you to save tabular performance data in a file of comma-separated values for further viewing and analysis.
Characteristics of performance data formats
| Type of performance monitoring | Sampling interval | Length of time displayed | Maximum number of objects displayed | Ability to save data |
|---|---|---|---|---|
Real-time graphical, live Real-time graphical, historical |
10 sec (live) 5 min (historical) Data points shown depend on selected time frame |
Default time frame is 1 hour. Choices:
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5 |
No |
Near real-time tabular (table view) |
10 sec -1 hr |
Most current value |
Unlimited |
Yes |
Comma-separated values (CSV) file |
Depends on selected time frame |
Depends on selected time frame |
Unlimited |
Yes |
Guidelines for viewing performance data
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Performance data collection is always on. There is no option to turn it off.
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Each time the sampling interval elapses, the storage array is queried and the data is updated.
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For graphical data, the 5-minute time frame supports 10-second updating averaged over 5 minutes. All other time frames are updated every 5 minutes, averaged over the selected time frame.
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Performance data in the graphical views is updated in real time. Performance data in the table view is updated in near real time.
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If a monitored object changes during the time data is collected, the object might not have a complete set of data points spanning the selected time frame. For example, volume sets can change as volumes are created, deleted, assigned, or unassigned; or drives can be added, removed, or failed.