If you have used cloud storage service and are willing to recover and restore cloud data, then all you need is to implement the methods portrayed in this blog. Read on to know how.
Cloud storage is one of the innovative breakthroughs in the data backup and restoration field. There are numerous vendors that provide cloud storage facility including Amazon, Microsoft, VMware, and Google. These data recovery service providers help individuals as well as organizations to sync data on the cloud, which can be used as a disaster recovery strategy.
The backup and restoration process is governed by recovery point objective and recovery time objective. The recovery point objective specifies how much data you can afford to lose, therefrom frequency of backup is calculated. If your recovery point objective is 24 hours, then it means you have to take backup every day. On the other hand, the recovery time objective specifies after how much time the system will revive to the fully functional state. If the recovery time objective is 24 hours, then it means your services can get back to normalcy after one day from the disaster.
Whenever disaster strikes, you need to restore data from backup: onsite or cloud.
If you have backup located on the cloud
Cloud services provides backup facility whereby data is synced to the cloud server in real time that is as and when files are created or updated. Even the recovery from the cloud is almost instantaneous, since the web services can failover (which is automatic switching to redundant backup if the primary system fails) to cloud backup. But failback (which is restoring the primary system to fully functional state) takes time as indicated in the recovery time objective. The time depends upon the size of the data and the Internet speed; larger the size of the cloud data longer it takes to recover.
For an individual with few files, recovery task is simple. Open the cloud storage service provider’s website and choose the version of the files you need, then download the same on your computer. Alternately, use the cloud backup or sync software to automatically download the synced files in the background. For an organization with voluminous data, even fast broadband might take days to complete the restoration process from the cloud.
If you have backup located on the backup media
The quickest method to restore data to the primary system is to use onsite backup media. This is because the restoration does not depend on the broadband speed. The files and folders from the last backup present in the backup media needs to be restored to the required system. The lost data can be recovered till the point as specified in the recovery point objective. The time of recovery can be from few minutes to few hours as specified in the recovery time objective.
If you have no backup
The case of no backup is a strict no-no for an organization, as it hampers business continuity. The only way to recover data from the no-backup situation is to use a data recovery software provided you have the storage medium of the system after disaster from where the data is lost. All logical failure to access data can be handled by the software. But if the data is lost due to physical failure, then recovering data is little beyond simple methods; you need to consult a specialist data recovery service provider such as Stellar Data Recovery.
To Sum Up
The blog suggests methods to recover and restore cloud data. Backup and disaster recovery service is truly helpful, as it acts as an insurance against disaster. Even onsite backup help in mitigating data loss. If backup is not available, then use a data recovery software or take help from a data recovery service provider to recover lost data.
So when it comes to data recovery service Stellar is the one of the best data recovery service provider. Stellar provides 100% safe and secure data recovery services and maintains high level of data confidentiality. They have 15 branches across India and recovering data since 1993. Stellar has a team of experts who can recover data from complex devices for all kind of data loss situations.