2017年11月29日 星期三

How enterprises reduce the cost of data center migration

Data center migration: the measurement of large data may be daunting for most people, but people in the IT department know how to deal with it. With the exponential growth of the functions of modern data centers, measurement indicators and key performance indicators (KPI) become more and more important for insight into all data. The most important indicator is the bottom line of the business.
 Data centre migration
This is not only a matter of measurement, but a management problem. It may be profitable to provide SaaS products, but like any business, there are some flaws that need to be noticed. Businesses need to "organically" develop their data centers. If you know where to reduce costs and increase the structure, business will be successful.
Of course, the use of the Internet can also bring some harm to enterprise operation. For example, 6% of the world's computers suffer from loss of data every year, but the benefits of interconnected business are too big to be abandoned. If an enterprise ensures active monitoring of its own data center, it can not only ensure the security of the network, but also ensure the cost-effectiveness.
Understand the overall cost of ownership (TCO)
The overall cost of ownership (TCO) is not a new concept, and no high-level definition is needed. The overall cost of ownership is this, but in depth some details are found to be taken into consideration.
Fast overall cost of ownership (TCO) calculation means considering two types of costs: direct and indirect costs.
Direct costs come from assets, such as enterprises' cars, printers, electricity, network connections, and wages.
The indirect cost is the cost that is indirectly related to the final goal. For example, the rent of the office space, the loss of productivity, the cost of the law.
If the enterprise can accurately calculate direct and indirect costs, the overall cost of ownership (TCO) can be determined. Now, how do enterprises determine the high cost, how to run the data center more effectively, and gain more profits?
TCO:IT Brand Pulse in the real world
IT Brand Pulse (ITBP), a research website providing data center architecture, data and analysis, released a case study in 2015, which investigated the cost of several components that owned and operated mass storage arrays. It takes into account the purchase price of multiple hypothetical hardware components of the data center, as well as two costs such as spare parts, training and annual support costs.
After explaining the methods used in the report, ITBP explored the available storage options. It weighs the performance of different solutions, including Amazon's cloud storage services, multiple disk arrays, and server based software definition solutions.
Concluding remarks
Each solution is different, but some basic concepts are applicable to all technology enterprises. They also apply to keeping low TCO for enterprise data centers:
• the end user is always considered first. Choosing a system with less function, simpler use and lower running costs may be more profitable, although it is known to do more. The features that seem to be easy to use for the experts in a team may not be suitable for the public, and increase the cost and complexity.
• decompose the deployment and ongoing enhancement into manageable projects.  The direct and indirect costs of each record, capital expenditure and operating cost are predicted and tracked. This will give the company an accurate understanding of the expenditure for a period of time, and enable enterprises to understand the location of extra cost or generate extra funds.
Communicate with employees. Keeping TCO means making changes. People may not respond to these changes in the way they want. This is inevitable. But employees will react more favorably to their knowledge of upcoming changes, let them know what will happen, and they will put forward valuable opinions and remain loyal.
Today, enterprise owners / operators can use tools and knowledge to grant them access to more critical data.

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