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Static data centers evolve into a dynamic data center

Static data centers evolve into a dynamic data center, avoid over-allocation, virtualization technologies

 

How should the static data center into a dynamic data center? Here we come to specifically look at the evolution of the specific explanation, let everyone know something about this. Those who have several years to create the data centers - especially those based on industry-standard systems and software for data centers - has mostly become a static environment. In other words, become a support for an operating system from the server, data management systems, application architecture and a variety of applications consisting of data centers. And the system through the use of pre-installed storage and network architecture to access, this memory architecture can only be through a series of carefully planned to make changes to the manual processes.   

30 years ago, single-vendor mainframe and midrange system users found this problem, and this static approach may lead to a series of questions must be virtualization and automation technology be used with caution in their place. Another dynamic is also an important step in the idea, but also to remember that, we must ensure that the overall be able to function properly. This is also the current industry-standard systems based on those with the data center's data manager, learned of an experience.  

How to avoid over-allocation of  

Now the industry standard systems based on the data centers often do not have a plan to avoid excessive structural and organizational problems. Therefore, each business sector should be chosen to meet the needs of their own systems and software, and according to their flow of business to make a decision. This means that most data centers will become the storage-type data center - or a pool called the calculation. Companies will focus on the needs of each individual department to purchase this calculation pool. Each pool is usually calculated by its own management tool to manage (some of which tool is not compatible with other computing pool management tools).   Business sector procurement of adequate systems, software, storage and network resources to cope with peak demand. Adequate resources to provide sufficient redundancy, so that business solutions can be maintained continuously as well as high availability.   This approach will also have a high cost: some resources may sometimes be idle, waiting for the arrival of the peak periods. If you take into account all of the idle resources within the enterprise, then it can be said a large part of business income of IT investment wasted. After all, these resources are not targeted at the needs of business organizations day to day basis. Obviously, such in the past seems a reasonable approach is no longer applied, and many businesses can not afford their high cost, the global market, forcing them to a limited extent, the largest availability of resources.  

How to overcome the disputed manual processes  

When the static data centers, when a sudden power failure, many companies are turning to error-prone manual processes to see where the problem lies in the end. This process will come out in isolation, transfer of resources, so that enterprises can fix vulnerabilities continue to maintain normal operation, and then the resources to return to the normal framework. In addition, there is a need to start the physical server, the appropriate load some software. But enterprises also need to restart or re-structure network and storage systems. Speed of recovery depends primarily on the physical system backup and architecture to start speed.   All of the above steps it will take a very long time and most of the employees do not have the experience, and these processes are prone to human error. Another complication is that all calculations are based on different application pools and management structure. This means that in solving this part of the problem when employees need to experience and in resolving other issues with the necessary experience is not the same.   Clearly, the manual process did not have very good scalability. Of course, this is also 10 years ago based on the mainframe and midrange systems, data centers began to restructure the reasons for the use of automation technology. Enterprise organizations want to have to do to deal with a planned and unplanned emergencies dynamic data center, at the same time without dealing with any of the above-mentioned problems.  

How to plan dynamic data center?  

The system, based on industry-standard data center managers to believe that a dynamic data center should have the following characteristics: 1, it can be real-time auto-discovery has not been used, that is a waste of resources, including systems, software, storage and networks. 2, it can automatically in a coordinated, policy-based approach to re-locate these resources to the maximum extent to optimize the use of these resources. 3, once a re-positioning data center resources will automatically be assigned to a useful task. 4, these resources will provide the necessary resources for each workload, and will not affect the other tasks. 5, no resources will be released, thus reducing the energy consumption and heat emissions. These resources may be used for backup and distribution of existing applications, or reserved for possible future needs. 6, only when available resources are now exhausted really happening when it is necessary to add new resources.  

How to achieve your dream of dynamic data center?  

Over the past few years, virtualization and automation products are widely used in industry-standard systems, operating systems and applications. Business organizations are now in a "logical" or "virtual" perspective of resources has become a possibility. This logical view of physical point of view and the reality is often different.  

This in the end mean? Even if there are different systems in different operating systems and application software to run, the system users can also be regarded as a single physical computer. Or they can be a group of system as a computing resource. Another virtualization technology so that individual users through a developer to create applications that do not exist device to access computing solution.  

Ultimately, the appropriate use of these technologies will provide many benefits to business organizations, including improving the scalability, reliability, and performance; much higher than the physical agility Transformation; the hardware, software and technical staff of more optimal use. This requires IT decision-makers consider the addition to the server other than the problem, to achieve broader goals.  

Multi-vendor products that use virtualization technologies have a lot of success stories. The market now, there were many as the entire data center operating system products, you can automatically discover resources and services to meet the enterprise's own objectives and strategies. If you ran into this article that some of the problems, then the IT manager should go to a better understanding of what this product is how to help them meet targets, while dynamic data center environment through configuration to reduce the total cost is calculated.


 
 




 
 
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