Q

Virtualizing applications: How to know which ones to choose

If you're virtualizing applications, look out for apps that require a lot of graphics or disk I/O. They may not be the best candidates.

What kinds of applications are bad candidates for virtualization, and why don't they work well when virtualized?

The biggest obstacle to a positive experience when virtualizing applications is resource consumption. Applications or services that use a lot of resources -- particularly local resources such as RAM or display access -- are usually bad candidates for virtualization. It's easy to come up with some compelling examples, including:

Steer clear of those apps that max out from time to time.

Graphics-intensive applications. Applications that require a lot of graphics, such as immersive, high-definition games, computer-aided design and 3-D ray-tracing generally fall over (or run painfully slowly) if virtualized. Even virtualizing applications like these on the same host where graphics cards and RAM reside tends to lengthen code paths and slow things down. Moving such apps to a remote virtual machine is not at all a good idea.

I/O intensive applications. Virtualizing applications such as big production databases is generally not a good call either. They want to consume a lot of CPU cycles, RAM and IOPS, and virtualizing such things only makes them consume more of these resources rather than less.

Resource demand is what distinguishes a good virtualization candidate from a bad one. So, how do you determine the demand from a certain application? Monitor it carefully, over a typical production cycle (including end of period, end of quarter or other peak demand situations), and measure peak loads and average use of CPU cycles, RAM and disk I/O. Performance monitoring tools can tell you what you want to know if you give them enough time to do their jobs properly.

At the end of the day, virtualizing applications is OK if they don't impose big loads for resources based on your testing and observation. Steer clear of those apps that max out from time to time (or all the time). You'll be doing yourself -- and your users -- a big favor.

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This was first published in March 2013

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