Scenario description and summary
The key data of the customer's local data center, including office documents, design drafts, audio and video, medical images, and important applications, need additional protection. It is required to recover quickly in case of data loss or damage to ensure business continuity. At the same time, because of the safety requirements of industry rules, massive historical data need to be retained for decades or even longer.
Scenario needs and pain points
High cost: budget for computer room, hardware and software, and special team operation and maintenance
Slow online: online for months or years
Difficult to manage: it is difficult to retrieve archived data, and the retrieval efficiency is extremely low
Complicated operation and maintenance: local backup archiving software and hardware management and control are separated, and the operation and maintenance personnel need to pay attention to the system status at any time. In case of errors, it is troublesome to locate, time-consuming and laborious
Inelastic expansion: unable to expand in time when local space is insufficient, and software and hardware need to be purchased for deployment
Solutions and advantages
Through the cloud backup function provided by Cloud Backup, a simple interface is used to configure data protection policies, which can automatically back up customers' local data to the cloud. AES-256 data encryption and source side re deletion compression at the source side ensure the safe and efficient backup of data to the cloud. The local NAS system can use the file intelligent analysis capability of Cloud Backup to conduct hot data backup and cold data strategic archiving after fully understanding the data characteristics and optimization effects; Support global retrieval of PB level archive library, and archive files can be found in seconds.
Scheme effect and value
Cloud Backup is used for local data backup, archiving to cloud, provincial TCO, sky level online, and public cloud's natural scalability, automatic alarm for task failure, and data management services for various data in the customer's self built machine room.
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