Not move GFS flagged backups to Capacity tier

[Thore]

Hi,
We have a backup job with 30 days retention, weekly full, and GFS 3 months, 1 yearly.
We are backing up to a local NAS and copying the files to S3 Bucket Capacity tier.
We have lots of space on the NAS, but to lower our costumers cost, we only want to copy the 30 days+weekly full backups to the Capacity tier, not the GFS flagges files.
Is this possible to do? It is my understanding that when we use copy to Capacity tier all the files will included GFS files will be copied to the capacity tier?

[Mildur]

Hi Thore

Welcome to the RnD Forums.

No, unfortunately that's not possible in V10/V11 with a single job. In a SOBR, all backups (Short-Term, GFS) of this job will be offloaded.
But only unique blocks. You won't see 8 full backups in the capacity tier. There will be 1 single full and then only changed data. It works similar to a forever forward incremental backup.You can use our calculator to have an estimation on how much data could be offloaded: https://calculator.veeam.com/vbr/
With a second job, you could configure it:
- Backup Job to simple backup repository (with Short-Term and GFS)
- Backup Copy to the SOBR (with just Short-Term retention)

In our next release (V12), you could do such a configuration with a backup copy job directly to the object storage with a different retention. A SOBR with local storage isn't needed anymore.

Thanks
Fabian

[Thore]

Hi!
Thank you for your reply!
Ok, then it works as i suspected.

We checked the calculater previously and for this particular costumer it was not a huge difference, but for others it can be more than they will pay for.
Maybe we would just use a separate job for these costumers for now.

Do you have any release date for v12?

[Mildur]

You're welcome.
I also suggest to compare different object storage providers and check, what your amount of storage will cost in their service. There are providers available which doesn't cost that much for 1TB and they don't require you to pay for ingress/egress costs and API calls.

Current plan for RTM is end of december 2022.
But the date isn't fixed yet.

Thanks
Fabian