One trigger that can expose
the lack of an effective capacity management process within a company is a
pending merger or acquisition.
I had the privilege to manage a project where a team of talented consultants was tasked with starting from scratch and providing capacity planning guidance and recommendations to a company undergoing a series of merger-related application consolidations.
When I say starting from scratch, I mean just that. The first step of the project was to quickly start capturing performance data on mainframes and servers that underpinned a few dozen applications and services so we could use a variety of techniques (including analytic modeling and trending) to predict the effects of expected change on these systems.
It's probably a good time if you're reading along to stop and think about this.
Do you have quality, capacity management data stored in a CMIS (or related mechanism) that you can quickly access? Do you know how utilized (over-utilized, under-utilized) your systems are? Are you able to look at underlying trends and potential changes to the environment and make recommendations to the business?
In my past, I worked as a capacity planner in a number of industries. At each of those companies, we had regular data capture in place on all production and many test systems. The cost of doing this was clearly outweighed by the benefits provided to the business. We were the first point of contact whenever there were performance problems with applications and we were the first point of contact when business conditions warranted a predictive look at the services and the resources that provided those services.
Make sure that you have quality capacity management data stored in a CMIS and ready for use.
I had the privilege to manage a project where a team of talented consultants was tasked with starting from scratch and providing capacity planning guidance and recommendations to a company undergoing a series of merger-related application consolidations.
When I say starting from scratch, I mean just that. The first step of the project was to quickly start capturing performance data on mainframes and servers that underpinned a few dozen applications and services so we could use a variety of techniques (including analytic modeling and trending) to predict the effects of expected change on these systems.
It's probably a good time if you're reading along to stop and think about this.
Do you have quality, capacity management data stored in a CMIS (or related mechanism) that you can quickly access? Do you know how utilized (over-utilized, under-utilized) your systems are? Are you able to look at underlying trends and potential changes to the environment and make recommendations to the business?
In my past, I worked as a capacity planner in a number of industries. At each of those companies, we had regular data capture in place on all production and many test systems. The cost of doing this was clearly outweighed by the benefits provided to the business. We were the first point of contact whenever there were performance problems with applications and we were the first point of contact when business conditions warranted a predictive look at the services and the resources that provided those services.
Make sure that you have quality capacity management data stored in a CMIS and ready for use.
|
Register
for our webinar ‘Capacity Management Maturing – Assessing and Improving’ to
find out how you can mature your Capacity Management processes
|
Rich
Fronheiser
Chief
Marketing Officer
No comments:
Post a Comment