Key Metrics for Effective Storage Performance and Capacity Reporting - – Array Architecture (8 of 10)

This is an example of an enterprise type array comprising of:

•        Front End Processors

•        Shared Cache

•        Back End Processors

•        Disk Storage

A lot of time these disks can be striped across the entire array, a very large number of spindles tied together to provide a very large resource.

Quite often on these large arrays bottlenecks will occur on the front end processor, requests coming in will queue up there.

Performance Capacity – Array Metrics

As mentioned front end processors are typically the first to bottleneck, below is an example showing just one day.

This is ideal information for trending, if you picked up these processors over a period of time you could do a trend going forward and figure out when and where bottlenecks are likely to occur.

On Friday I’ll be looking at back end metrics. In the meantime join our Community for access to some of my Storage Capacity Management webinars.

http://www.metron-athene.com/_resources/on-demand-webinars/login.asp

Dale Feiste

Principal Consultant