This article originally appeared in Network World.
Capacity management was relatively easy when workloads grew incrementally, but those days are gone. Customer-facing Web and mobility services can spike unpredictably, and Big Data workloads can quickly overwhelm existing capacity. In this new world of wild workload fluctuations, IT has to do a better job of managing capacity.
Today many IT groups are manually collecting performance data from siloed tools and systems. A virtualization administrator will gather metrics from their virtualization vendor’s operations platform, a hardware administrator will leverage a hardware-monitoring platform, and so on. Capacity management tends to be done on an ad hoc, inconsistent basis. As a result, if a CIO is looking to make plans or report on capacity, he or she may have multiple teams delivering many different reports.
Ultimately, without comprehensive, effective capacity management, IT organizations are flying blind and working in reactive mode. This not only makes it difficult to manage current infrastructure and capacity demands, but significantly hinders the organization’s ability to support emerging requirements and initiatives.