How far away from Dynamic Data center to cloud computing

Source: Internet
Author: User
Keywords Data center these compare so cloud computing

The value of enterprise it is not easy to identify its customers, the business sector. Business units often have their own views on enterprise IT, for example: it provides limited value, is the cost center of the enterprise, compared to the value of IT services, it investment cost is high, whether it is computing or storage, often encounter the problem of insufficient capacity, not timely response to business changes, failure to provide consistent service level , especially in terms of availability and resiliency, lack of sufficient capacity to run complex IT environments, monotonous and consistent service design, and lack of personalization capabilities.

Most of these perceptions can be attributed to cost, flexibility, or service level issues. These issues are more pronounced when companies compare internal traditional IT operations and efficiencies with the way they are delivered through cloud computing services. As a result, it is the focus of how to get enterprise it to the minimum cost and increase service flexibility and consistency.



From Dynamic Data center to cloud computing

Some of the features of the public cloud services are really attractive to businesses, such as the need to pay for resource usage, rapid deployment to gain flexibility, flexible capacity expansion, and consistent service levels. However, in many enterprise scenarios, it is unrealistic to give control of application and data to Third-party service providers, for example, the application of banks and government agencies have data security and other factors. This brings the concept of a private cloud, in which enterprises need to provide internal IT services in accordance with some of the technologies and services that are similar to the public cloud, meaning that the enterprise needs to build and operate the data center itself. Of course, the enterprise's own these IT services do not affect their own in the appropriate application of Third-party cloud computing services. Businesses can operate their own business-critical systems, but they can also use a third-party cloud service, such as Microsoft's Exchange Online service, for standard IT services such as e-mail.

Profiling Traditional data centers

Most of the current data center's IT systems are built in the traditional way. Enterprises in the construction of these data centers are generally focused on the protection of applications can be stable, safe and reliable operation, and in terms of resource utilization, green environmental protection and other aspects of the requirements relatively few. The following conditions are prevalent in such data centres.

1. Low Resource utilization

The low utilization of resources in data centers is a common problem at present. Research by a number of third-party organizations suggests that the average server utilization for enterprise data centers is less than 15%. The main reason for the low utilization of server resources is that each business unit is planning and designing the operating environment of its business application separately, and is planning and designing the system capacity according to the requirement of the maximum business scale. For example, an enterprise's financial applications generally at the end of the month or quarter when the use of large, while the other time is relatively small, but in order to ensure that the system can be stable operation, the financial application of the resource allocation is based on its peak use of the design.

2. Islands of resources

According to the requirements of the business system to build responsive it facilities and implement the corresponding deployment. Each application system builds relatively independent "island", so it is difficult to consider the rationality of resource allocation and usage from the perspective of the overall IT infrastructure. In the previous SOA construction, we used the Enterprise service Bus (Esb,enterprise service buses) in the way, at the application level to avoid each application system to become a separate "chimney." But in terms of infrastructure, these applications are independent chimneys.

Once allocated to an application system, these resources are relatively cured. Resources are difficult to deploy, regardless of the actual usage of the business system after it is actually put into production. Therefore, the overall utilization of resources is generally very low.

3. Low level of automation

Traditional data Center resource configuration and deployment process is more manual, without corresponding platform support, no self service and automatic deployment capabilities, so that a large number of human resources in the heavy duplication of work. As a result, the needs of the business sector are often not immediately relevant and accurate and effective. The automation of data centers is as inevitable as the early 20th century when the Ford T-Car created an efficient automated production line for automobiles. Traditional data center has less use of virtualization technology, so the binding of computing resources to the underlying physical devices makes it difficult to allocate resources dynamically. Because the different application system in the enterprise is built by different project team in different period, the technical structure and platform of each other are quite different. The number and type of servers and various devices in the data center are not conducive to the unified management and maintenance of IT departments. Because of the low level of automation, the ratio of managers to servers in traditional enterprise data centers is typically dozens of, compared to a ratio of thousands of in today's data centers.

According to McKinsey, the global data center spends more than 350 billion dollars a year on infrastructure and services, half of which is capital spending on products, typically in terms of labor and service costs. At present, about 70% or more of all the cost of it is used to maintain the existing infrastructure, and only 30% or less is used for the development of new technologies and applications. Therefore, the transformation of the data center is of great significance to the enterprise.

(Responsible editor: Lu Guang)

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