TeamQuest Releases New and Improved Guide to Choosing a Capacity Planning Tool
Capacity planning today is always getting more complicated, and if you’re not altogether sure what it is you need, it’s easy to get sold on a tool that isn’t sufficient. That’s why TeamQuest has released an updated version of its guide, “How to Choose a Capacity Planning Tool.”
Today’s IT infrastructure has become so complicated, and online customers have only gotten more demanding — this means that capacity planning simply isn’t something you can skimp on any longer. Many of the more affordable “capacity planning” tools can’t be relied on to pull their own weight and offer useful insights.
So what are these imposter planners that your company should steer clear of? Why aren’t they up to snuff when it comes to the job of capacity planning? Is there one tool that works best in every situation? What exactly does a good capacity planning tool need? To help you answer all these questions and more, TeamQuest has released an updated version of “How to Choose a Capacity Planning Tool.”
This resource tells you everything you need to know about capacity planning and the tools you need to get it done. Find out why you can’t rely on:
Performance Monitoring — Getting an alert moments before a problem occurs is only helpful if you want to deal with crises, rather than plan around them in the first place.
Graphing Historical Data — While capacity planning uses historical data, simply keeping it around for charting and graphing isn’t useful for making future predictions.
Trending — Computer system performance isn’t linear, and capacity planning requires more than just past performance to make accurate future predictions.
Learn the difference between simulated and analytic modeling:
Works well for “what if” scenarios, such as determining how long CPU infrastructure will last. It’s resource-intensive, and has limited usefulness as a capacity planning tool for servers.
Much quicker and less tedious to set up, the results of analytic modeling can be just as accurate as simulated modeling, provided the right data model is selected to represent appropriate situations. Like simulated modeling, analytic modeling lacks automation, and thus is highly reliant on the skills of the analyst performing the work.
What’s the most effective way to do capacity planning? Read TeamQuest’s “How to Choose a Capacity Planning Tool” to find out!
(Main image credit: r2hox/flickr)