Limitations of Traditional Capacity Management Approaches
Limitations of traditional capacity management approaches
Another limitation of traditional approaches is that they often entail reacting to performance problems by deploying additional dedicated IT resources. Not only does this require an organization to maintain significant (and often costly) overhead of idle capacity for every important resource, but given users' rapidly diminishing tolerance for poor performance, they will likely have already abandoned your application or gone on to a competitor's Website in the time it takes for you to react. Capacity managers need a new approach that enables them to proactively identify and fix capacity bottlenecks across all components, ideally before users become aware that a problem exists.
Finally, organizations may also make the mistake of relying on past utilization trends as a reliable indicator of future capacity requirements. For example, an online travel Website may determine that their virtualized infrastructure was able to support a mission-critical reservations booking application throughout last year's busy season at 60 percent CPU utilization. Not only does this fail to address the issue of performance ("What was performance like for users at 60 percent utilization? Fast and reliable or slow and disappointing?"), but it also does not take into consideration any new features or functionalities added within the past year (video and product tours, for example) which may lower the utilization threshold for performance degradations.