Monday, 7 March 2016

Key Metrics for Effective Storage Performance and Capacity Reporting - Workload Profiles (10 of 10)

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.


I've included an example below of 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

To summarize

        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 and start with the most critical.

Dale Feiste
Principal Consultant

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