Showing posts with label storage array architecture. Show all posts
Showing posts with label storage array architecture. Show all posts

Wednesday, 2 March 2016

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

Wednesday, 25 February 2015

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

Today I said we’d take a look at Array Architecture. 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 sign up to belong to our Community and listen to the live recording of this series http://www.metron-athene.com/_downloads/on-demand-webinars/index.asp

Dale Feiste
Principal Consultant