Cloud strategy is the only way to the data center

Cloud computing, large data, mobile technology wave, innovation management and product model constantly-cloud management, Cloud mobile phone, cloud TV and so on launched. In the enterprise market, as the core infrastructure of the enterprise IT system, the construction, management and operation of the data center have been pushed to a pivotal position.

Cloud computing, large data, mobile technology wave, innovation management and product model constantly-cloud management, Cloud mobile phone, cloud TV and so on launched. In the enterprise market, as the core infrastructure of the enterprise IT system, the construction, management and operation of the data center have been pushed to a pivotal position.

In the big data age, CIOs need to tap into the value behind large data, which requires both a huge amount of data, access equipment with massive amounts of data, and real-time computing power. The implementation of these requirements requires an effective combination of data center and cloud computing models.

Cloud mode has become an important way for enterprises to use data center platform to deal with the challenge of large data, and some people even suggest that cloud strategy is a necessary part of data center.

A set of data from IBM shows the current data center status: 85% of data Center computing power or idle state, 50%-60%it load can be cloud technology, 70% of IT budgets are used to maintain the existing infrastructure, and annual data center energy costs increase 18%;75% CIOs expect to focus on data center infrastructure within 5 years; server density has increased by 20 times times in the last 10 years and servers have grown 6 times times.

At the same time, IBM also gave the Chinese enterprise data Center common problems: The standard difference of the new and old computer room is obvious; the management mechanism needs to be perfected, in the case of investment and construction of "two skins", the planning from their respective interests is difficult to respond to customer demand; Investment construction is easy to be extreme, because blindly throwing money and not knowing leads to insufficient utilization of data center and impractical migration transformation.

IDC research shows that data center change has become the first factor to help companies survive the crisis and achieve better development. However, it is worth emphasizing that the number of data centers does not become a benchmark for enterprises to compete for information, nor should one after another to build inefficient operation of the data center.

"With the continuous development of cloud computing, the combination of cloud model and data center will change the existing pattern." The need to implement it in the cloud computing paradigm has become a key way to improve capacity and capacity in data centers. "said Sun Jiangang, general manager of IBM China Global Information Technology Service data center."

IBM has found that many enterprise IT application virtualization is only 20%-30%. But as cloud computing matures and falls, cloud data centers are increasingly being accepted by businesses. Wang Shifao, general manager of the Information management Department of Xiamen Golden Pharmaceutical Co., Ltd., the Hong Kong Golden Day Investment Group, said: "The gradual experience of virtualization is the road to practical cloud services." The operation and maintenance management of cloud computing data center should start with daily monitoring of data center, event management, change management, contingency plan management and daily management, and so on. ”

The future data center will be a highly reliable, high security, easy to expand, easy to manage, green and efficient, resource-sharing wisdom Cloud data center. Be able to support business development flexibly, realize monitoring visualization, control automation, management process, and finally help enterprises to achieve the infrastructure based on optimization management.

As a result, IBM's global highly efficient data center best Practices Research report contrasts efficient and inefficient data centers, giving an important way for companies to build their own efficient, intelligent cloud data centers: optimizing it facilities, maximizing storage capacity and availability, and implementing flexible designs to support changing business requirements Use automated tools to improve service levels and availability, and to develop planning to ensure consistency with business objectives.

(Responsible editor: The good of the Legacy)