As mentioned previously the Read/Write metrics can help you to get a handle on your workload profiles.
Application type is important in estimating performance risk, for instance, something like Exchange is a heavy I/O user. I’ve also seen examples where virtual workstations were being installed and resulted in a large I/O hit that could have impacted other applications sharing storage.
This is an example of a score card, where you can have a large amount of information condensed in to one easy to view dashboard.
An example below is how you can set up a dashboard and bring key trending and standard reports to you all in one place.
Trending, forecasting, and exceptions with athene®
Storage Key Metrics – Summary
• Knowledge of your storage architecture is critical, you may need to talk to a separate storage team to get this information
• Define storage occupancy versus performance
• Discuss space utilization and define
• Review virtualization and clustering complexities
• Explore key metrics and their limitations
• Identify key report types and areas that are most important, start with the most critical.
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