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Large data backup disaster tolerance - urgent!
After many years of IT system construction, XXX company has completed the construction of data center. Data center is currently operating XXX core application systems and business systems and other important systems. At present, the core of XXX company and important data using the traditional back-up protection, the traditional way of backup protection management operation is complicated, the success rate of recovery can not be guaranteed, but also can not do online remote data disaster recovery. As large amounts of data emerge, the company's normal work is increasingly dependent on these data to ensure the security of business data, and it is imperative for core applications to avert disaster.
Therefore, the establishment of a unified shared disaster recovery platform, all the company core and important application system for unified backup, backup for overall management of the XXX company's overall business, security barrier will bring valuable to the future work of the company.
Requirement Analysis
From the point of view of data volume and backup speed, XXX Corporation, as a national design unit of chemical system, not only has a huge amount of historical data, but also adds very large amount of new data every day. Most of the historical data do not need to be used frequently. In the case of poor performance of backup system, backup protection is adopted for a long time, which is basically acceptable. However, for a large number of new data every day, it is often possible to include tens of thousands of copies and hundreds of thousands of backup files in the data, and the system will do frequent reading and writing operations. This requires that the backup disaster recovery system have very fast backup recovery speed. Otherwise, it will be impossible to complete the daily backup work, which is tantamount to placing data security at great risk. Once an accident occurs, data needs to be recovered without backup data, and no one can afford the serious consequences. The problem is not just the XXX data center, but the data centers of other large companies often have the same problems. Especially in the era of big data, backup disaster tolerance is becoming more and more important. XXX can be summed up the needs of the company has the following characteristics:
· High performance requirements
For the data center of large users, the performance of the backup disaster recovery system is the most basic and the most important requirement. When all branches of the data to be centralized in the data center backup, disaster recovery and management, means that the data center may receive hundreds of GB every day, millions of backup data. At this point, backup disaster recovery will be a huge system resource overhead. If the performance can not meet the requirements, then it will inevitably lead to overwhelmed data centers, can not play a real role. Performance can not meet the requirements, and any other aspects of the functional highlights are no foundation in the castle in the air;
· Extended flexibility
In the development of institutions tend to change rapidly in size, new business object, protection system, data increasing and updating the traditional solutions, regardless of the system, cost and protection ability is an important challenge;
· Cost controllability
The traditional solutions often use the module or application authorization, and increasing with the number of objects need to provide services to increase the initial cost and maintenance costs continue to rise, how to protect the increasing demand on the effective control of the cost of investment, is also facing a major problem of XXX company.
From the above analysis, it is easy to see that the traditional backup disaster recovery scheme has a lot of disadvantages in the XXX company's environment. What XXX company needs is the overall backup disaster recovery solution that can cope with the impact of data center, big data stream, high stability and high performance.
Through the investigation and understanding of many solutions, XXX company finally uses the TxCloud cloud cabinet as the backup disaster tolerance core equipment of Tianjin data center, and realizes the integrated backup and disaster recovery of the whole data center.
Conceptual Design
XXX's data center is a very typical "big data" environment.
At first, the solution for the data center, XXX company is inclined to the entire data center for multiple independent sub system in accordance with the application of different division, solely for backup or disaster recovery scheme of construction of each subsystem. That is to say, you need to provide different backup software, storage device, disaster recovery machine and so on for different subsystems. Obviously, this method will not only greatly increase the construction cost of backup disaster tolerant system, but also greatly increase the difficulty of management. Especially when the data of different subsystems need to be shared, how to form an effective whole for each individual backup disaster recovery system becomes a difficult problem to solve.
Therefore, XXX company adopts integrated disaster recovery mode, the core equipment through the deployment of a data backup and disaster tolerance center has the function of protection, all data and applications through a set of program forms integrity. And the core equipment that XXX company chooses is exactly TxCloud cloud ark. The scheme topology is as follows:
Programme Effectiveness
XXX chose to build multiple systems, mainly because the previously exposed solutions were not good at solving performance problems, but only by retreating,. XXX expresses a certain degree of scepticism when it comes to the fact that TxCloud cloud cabinets can well assume the role of data center backup, disaster tolerance, core devices, and good response to high-performance requirements. In fact, for each subsystem of the XXX data center, it is not difficult to complete backup disaster tolerance. However, once the overall cost and complexity are taken into account, the cost of building multiple systems is very expensive. Moreover, in the long run, the management and maintenance of the later stage will also be a great burden. XXX also hopes to solve this problem by way of integration, the data center disaster recovery data and application by a unified management plan. However, this requires that the related backup and disaster recovery equipment have superior performance. In fact, this is the TxCloud cloud cabinet strengths - TxCloud cloud cabinets at the beginning of the design, it is determined to face the environment and challenges. This time, TxCloud cloud cabinet is proved the value of their own data center XXX company completed the TxCloud cloud cabinet deployment, related function confirmation, choose a data volume is about 130GB the task of restoration, a total of more than 250 thousand documents, only 26 minute 18 seconds to complete the all of the data recovery, the recovery speed of single client single task 85MB/s. This performance, the XXX company's overall disaster recovery ability has greatly increased. The backup window that bothered XXX before was easily solved. When the test proved completely TxCloud cloud as clear as noonday cabinet can be a large amount of data to deal with XXX, the impact of XXX company responsible person feel very excited, because this way, you can through a product in the data center and the data center backup and centralized management, performance is no problem. Construction cost, management cost and maintenance cost will be greatly improved. XXX company's relevant responsible person also discouraged the initial TxCloud cloud cabinet, which sits on the data center integration disaster tolerance equipment doubts, said the solution offers recognition.
For many large enterprises, backup disaster recovery is a highly complex and systematic "big action"". While XXX can successfully complete this difficult project, making the entire backup disaster recovery capability has been greatly improved, especially the unified backup data center perfectly corresponds to a large amount of data of the impact, and detailed planning, research and implementation are inseparable. At the same time, it also proves that integrated disaster tolerance is also of great value in the field of large data backup and disaster recovery.
