Data protection requirements in the software definition age

In today's IT industry development process, software will take more and more time for humans, and software definition concepts will become increasingly popular. Currently, the most fashionable software definition terms include: Software Defined Network (SDN), software defined storage (SDS), and software defined data center (SDDC ), and then extend to the new concept: Software defines everything (sdx ).

 

Under the influence of virtualization and cloud computing, software definition covers all the fields of IT infrastructure. Among them, software definition data center is the key. As the basis of the next-generation IT architecture, the software-defined data center will greatly improve the IT infrastructure conditions and improve the dynamic resource allocation and computing capabilities, meet the needs of emerging technologies for networks, storage, and powerful computing capabilities, thus accelerating the application of technologies.

 

Correspondingly, users' IT environments become more complex and diversified. Previously, the subject of data protection was only a physical device. Now, the scope of data protection has been extended to the physical environment, virtual environment, and even cloud computing environment. Implementing end-to-end comprehensive data protection across different applications and platforms is a new challenge for users in the software definition era.

 

The Data Protection in the software definition age puts forward higher and more targeted requirements, which are embodied in the following three aspects:

 

First, the IT Department should establish the concept of data protection as a service. Enterprises are transforming to it as a service, and internal IT departments must also become service providers of business departments. Enterprise development and business applications depend heavily on data, and data availability requirements are getting higher and higher anytime and anywhere. Therefore, data protection is not only to implement some basic functions such as loss prevention, tampering prevention, and recoverability, but to become a ready-to-use service.

 

Second, the management authorization for data protection is increasingly diversified. Different administrators of application systems, virtualization, and storage systems must be able to gain visibility into data protection through their familiar interfaces, thereby enhancing data control, and abandon the chimney-type isolated data protection method in the past.

 

Third, data protection solution providers should be able to seamlessly provide solutions across the entire data protection platform, and provide solutions and services that meet different service level agreements according to users' different needs. For example, for an enterprise's internal management business system, in addition to traditional data backup, you also need to regularly back up the operating system and application system, reduce the time cost of reconfiguration and system and application software due to hardware faults, and avoid risks caused by inconsistent configurations and patches. For database systems with key services, we should not only consider regular full and incremental data backup, but also provide continuous data protection (CDP) backup mechanisms, and even implement online real-time data replication to achieve zero data loss as much as possible, maintain high data availability. Of course, the data protection solutions and services provided are closely related to the importance of data and investment costs.

 

 

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Data protection requirements in the software definition age