capacity plan

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Capacity planning:
Capacity planning is the process of determining the production capacity needed by an organization to meet changing demands for its products.[1] 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, "effective capacity" is the maximum amount of work that an organization is capable of completing in a given period due to constraints such as quality problems, delays, material handling, etc. The phrase is also used in business computing as a synonym for Capacity Management.
Capacity Planning Classification:
Capacity planning based on the timeline is classified into three main categories long range, medium
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This consideration should extend not just to servers, but to disk arrays, tape equipment, desktop workstations, and network hardware.
#4: Share plans with suppliers
If you plan to use your capacity-planning products across multiple platforms, it is important to inform your software suppliers of your plans. During these discussions, make sure that add-on expenses — the costs for drivers, agents, installation time and labor, copies of licenses, updated maintenance agreements, and the like — are all identified and agreed upon up front. Reductions in the costs for license renewals and maintenance agreements can often be negotiated based on all of the other additional expenses.
#5: Anticipate nonlinear cost ratios
One of my esteemed college professors was fond of saying that indeed we live in a nonlinear world. This is certainly the case when it comes to capacity upgrades. Some upgrades will be linear in the sense that doubling the amount of a planned increase in processors, memory, channels, or disk volumes will double the cost of the upgrade. But if the upgrade approaches the maximum number of cards, chips, or slots that a device can hold, a relatively modest increase in capacity may end up costing an immodest amount for additional hardware. This is sometimes referred to as the knee of the curve, where the previous linear relationship between cost and capacity
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