Data center capacity planning is the process of identifying, evaluating the size of a data center and the various options that may help to reduce the cost of operating it. Capacity planning is a highly specialized topic in the IT world. There are many companies in the IT industry that specialize in this area, but they all focus on different aspects.
The fundamental aspect of data center capacity planning is to identify the correct information to be entered into the spreadsheet. In the example of a minimum space requirement for data center, a spreadsheet needs to look at the total amount of hardware and software used by the data center, the availability of these resources and the extra cost of buying new resources in the future. This cost varies over time because new equipment costs are largely dependent on the popularity of that equipment. The type of software used also has an impact.
In the most basic factor, the first stage is to figure out the money that can be saved in the future for every dollar spent on new resources. Other factors to consider include the following: the cost of maintaining existing infrastructure and the value of off-site storage. These are not absolute figures, but you get the idea.
Once you have decided which option will be the most cost-effective, and which method will most likely cut down on the capital cost, you can create a data center capacity planning spreadsheet to determine which methods will cut down on your operating costs. The spreadsheet can be used in conjunction with any other planning tool that is used to determine the size of a data center, as well as the costs and the benefits of having a data center in the first place. Create Your Own Data Center Capacity Planning Spreadsheet
As mentioned earlier, data center capacity planning should consider all of these factors. In addition, a data center planning spreadsheet should also identify which other factors may need to be taken into account.
One of the most effective solution to this problem is to have a comprehensive plan to explore all possible alternatives and find out what will cost the least to operate. If you don’t have this plan, your business is in danger of missing opportunities to reduce costs.
The next step in this process of planning is to use the data you have to establish the most cost-effective method of implementing the system. The spreadsheet is only one tool in the process of gathering this information, but it is the best starting point.
This cost will not be high enough to cover the capital cost of purchasing new infrastructure. In order to reduce this cost, there are some ways of reducing your costs. Some of the more common ways are discussed below.
One option is to lease facilities, such as air conditioning, office space or computer storage. In this case, you would only have to pay the landlord if you cannot recoup your initial investment.
Another way to reduce the capital cost is to reduce the staff in the office. If you have limited manpower, the cost of hiring a few additional people will allow you to provide more staff and save money. This also allows you to save on travel expenses when you travel to other data centers.
You can also save money by investing in additional resources that can help you manage more efficiently. This can be equipment or additional software. By investing in these additional resources, you can improve productivity while also reducing the cost of running the facility.
You can also decrease the operational cost of running the data center. The simplest option is to use software that automates the data entry into the spreadsheet, allowing the worker to focus on other tasks. This can reduce the amount of manual labor required to enter information into the spreadsheet. YOU MUST LOOK : data analysis using spreadsheets
