The enterprise sourcing environment mirrors consumption trends of the digital age: it’s all about more, more complex requirements, more choice, more international, more specialist offers, and more time needed to evaluate, select, track and manage these relationships. With no choice in the matter, companies now need to rely on in-house expertise and their wits to contend with multiple vendors, hard-to decipher needs and offers.
Finding the optimal amount of resources needed to get the job done, and obtaining them at the most efficient cost —a tradeoff between SLA, availability and cost? These eternal concerns of capacity planning experts are more relevant than ever, despite the dematerialization of many of a company's “resources” as computing power migrates to the cloud. The main attributes of the cloud environment: flexibility and scalability, rhyme with unpredictability. Capacity planning is confronted with a range of new challenges as the scope shifts from hard iron to IaaS.
Just because cloud infrastructure makes it possible for businesses to adapt and scale their IT needs with more flexibility than ever before, doesn’t make it easy. While cloud migration is quickly becoming an indisputable step into the future, many companies are finding the transition comes with an unforeseen disadvantage: a debilitating lack of control and foresight.
“Capacity planning is the process of determining the production capacity needed by an organization to meet changing demands for its products. In the context of capacity planning, design capacity is the maximum amount of work that an organization is capable of completing in a given period,” says Wikipedia. So are these definitions and task frameworks relevant if we are talking about virtual IT? Absolutely.