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Backup repositories

We should consider following while building the backup repository:

  • Capacity
  • Write performance
  • Read performance
  • Data density
  • Security
  • Backup file utilization

As a basic guideline, a repository should be highly resilient, since it is hosting customer data. It also needs to be scalable, allowing the backup to grow as needed.

Organization policies may require different storage types for backups with different retention. In such scenarios, you may configure two backup repositories:

  • A high-performance repository hosting several recent retention points for instant restores and other quick operations
  • A repository with more capacity, but using a cheaper and slower storage, storing long-term retention points

You can consume both layers by setting up a backup copy job from the first to the second repository, or leverage Scale-out Backup Repository.

Concurrent tasks

Start with configuring three concurrent tasks per CPU core and adjust based on load of the server, storage and network.

Dependent on the used storage too many write threads to a storage might be counter productive. For example, a low range NAS storage will probably react badly to a high amount of parallel write processes: to mitigate these effects it’s better to limit the concurrent tasks in this case.

** Note: Consider tasks for read operations on backup repositories (like backup copy jobs). **

Backup file size

The best practice is to keep the backup chain size (sum of a single full and linked incrementals) under 10TB (~20TB of source data).

Remember that very big objects can become hardly manageable. Since Veeam allows a backup chain to be moved from one repository to another with nothing more than a copy/paste operation of the files themselves, it is recommended not to exceed the recommended file sizes. This will allow for a smooth, simple and effortless repository storage migration and better storage-use distribution in SOBRs.


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