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Backup Discovery and Recovery 2021

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Using Windows 10 Pro X64 10.0.19042 Build 19042 on a AMD 3900 with 32 gigs of 3600 ghz of ram. RTX 2700 video and m.2 Gen 4 rocket drive on a 570x gigabyte board. Acronis version 2021 Build 343400

 

In previous versions of Acronis True Image it was possible to select the backups through Windows Explorer and drill down to specific files almost as it was a real drive. Copy and paste them back to system drives. The current and some previous versions this has become painfully slow and many times even after 30 or 60 minutes the process just fails. I have gone to just using the emergency boot USB to do this but even that is miserably slow and prone to failure.  

I have a pretty fast machine and even at idle during the discovery phase of navigating through the file system of the back up the system COM Surrogate (32 bit) reports on about a 5% load on the system. 

IS there anyway to get the user experience of the older versions where navigation and recovery were almost real time and doesn't intermitting fail. 

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David, welcome to these public User Forums.

I am not personally aware of any specific problems as you have described but this may simply be because I do not need to do the same type of archive navigation and file selection?  I also don't recall seeing other users reporting this performance type issue here in the forums recently which may be for the same reasons.

The thoughts that occur to me initially here are:

What are the sizes of the backup archives that you are searching through here?
I suspect that the larger the archive, the slower the performance might be.

Where are the backup archives stored?
I would hope that files stored on local drives or fast USB 3.x external drives would give the fastest response times, and that those stored across network connections on NAS or remote PC drives would be slower.

The degree of nesting of files & folders will also have an impact on performance here, i.e. files / folders located at the upper nesting levels will be fastest to access versus those deeply nested.