Data Center Capacity Planning

I was fortunate enough to spend several years working in a data rich environment of a super-large scale compute asset intensive Web retail company. During that time I came to understand that planning for compute capacity growth revolved around understanding several key data sets:

  1. What assets were being consumed.
  2. The difference between active, reactive and passive assets.
  3. Technology impact on assets (Moore’s law, Butter’s law, Kryder’s law , etc)
  4. What is being produced.

Armed with historical and trend supporting data, I was able to produce information and actionable knowledge for Data Center Capacity Planning.  World Wide planning was provided for > 100,000 host instances and 30% growth rates.

You can review my Data Center Capacity Planning resume here.

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