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 EaseTag Cloud Storage Tiering SDK is a data storage technique which automatically moves data between high-cost local disk and low-cost remote cloud storage. It allows you to retain your on-prem, high-performance storage and combine it with the benefits of cloud economics, leveraging the low costs of Azure Blob and Amazon S3 object storage. The Cloud Storage Tiering service identifies infrequently-used data in your on-prem storage and automatically and seamlessly moves that data to lower-cost object storage in the cloud, leaving frequently-used data on the high-performance , data center storage system. When the infrequently-used tiered data is needed again, the service will automatically and seamlessly move it back to the high-performance tier. The Cloud storage tiering was implemented with tiered storage file system filter driver. A file system filter driver intercepts requests targeted at a file system or another file system filter driver. By intercepting the request before it reaches its intended target, the filter driver can extend or replace functionality provided by the original target of the request. File system filtering services are available through the filter manager in Windows. The EaseTag tiered storage filter driver can intercept the file I/O to the local storage and redirect it to the remote cloud storage by implementing the file system filtering functionalities which was provided by the Filter Manager framework. EaseTag SDK can create a stub file when your local file was migrated to the cloud storage. On your local storage, a stub file looks and acts like a regular file without taking the physical space, the stub file keeps all the properties and securities of the original file with the embedded customized meta data. When the user application accesses a migrated stub file, the EaseTag driver will retrieve the data back from the remote storage and return it back to the application, it is completely transparent to the application.
 http://www.easefilter.comLast Updated on 7/5/2021 11:31:00 AM

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1/10/2025 12:46:04 PM
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