How to big scale backup Gitlab?

The name of the pictureThe name of the pictureThe name of the pictureClash Royale CLAN TAG#URR8PPP












13















When asking Gitlab support on how to do a 3TB backup on ones on-premise Gitlab they reply use our tool that produces a tarball.



This just seams wrong to me on all levels. This tarball contains the postgres dump, docker images, repo data, GIT LFS, etc config and so on. Backing up TB of static data together with KB very dynamic data doesn't seam right. And then comes the issue of, we want to do a backup every hour.



Question



I'd really like to know from others how they do it, to get a consistent backup.



ZFS on Linux would be fine with me, if that is part of the solution.










share|improve this question



















  • 3





    Why is this wrong? You back up your Gitlab completely to restore it completely. I don't think this is wrong. Of course it uses much more space than say, incremental backups, but...I wouldn't care about backup size.

    – Lenniey
    Feb 5 at 14:05






  • 3





    Having a backup every hour is not unheard of, but it is impossible to make a 3TB in less than hour with their approach. And backups for just one day would be ~100TB, where there might only be 10MB of changes to the data.

    – Sandra
    Feb 5 at 14:11











  • OK, this is a different question, not about the backup in general but about frequent backups.

    – Lenniey
    Feb 5 at 14:13






  • 5





    In their official docs they even mention their method as being slow and suggest alternatives: If your GitLab server contains a lot of Git repository data you may find the GitLab backup script to be too slow. In this case you can consider using filesystem snapshots as part of your backup strategy. I can't speak from experience, though. But I may have to include something like this soon...

    – Lenniey
    Feb 5 at 14:19












  • Gitlab has options in the config file and backup flags that will allow you to exclude sections, or go so far as to store images and artifacts on an object store

    – ssube
    Feb 5 at 19:28















13















When asking Gitlab support on how to do a 3TB backup on ones on-premise Gitlab they reply use our tool that produces a tarball.



This just seams wrong to me on all levels. This tarball contains the postgres dump, docker images, repo data, GIT LFS, etc config and so on. Backing up TB of static data together with KB very dynamic data doesn't seam right. And then comes the issue of, we want to do a backup every hour.



Question



I'd really like to know from others how they do it, to get a consistent backup.



ZFS on Linux would be fine with me, if that is part of the solution.










share|improve this question



















  • 3





    Why is this wrong? You back up your Gitlab completely to restore it completely. I don't think this is wrong. Of course it uses much more space than say, incremental backups, but...I wouldn't care about backup size.

    – Lenniey
    Feb 5 at 14:05






  • 3





    Having a backup every hour is not unheard of, but it is impossible to make a 3TB in less than hour with their approach. And backups for just one day would be ~100TB, where there might only be 10MB of changes to the data.

    – Sandra
    Feb 5 at 14:11











  • OK, this is a different question, not about the backup in general but about frequent backups.

    – Lenniey
    Feb 5 at 14:13






  • 5





    In their official docs they even mention their method as being slow and suggest alternatives: If your GitLab server contains a lot of Git repository data you may find the GitLab backup script to be too slow. In this case you can consider using filesystem snapshots as part of your backup strategy. I can't speak from experience, though. But I may have to include something like this soon...

    – Lenniey
    Feb 5 at 14:19












  • Gitlab has options in the config file and backup flags that will allow you to exclude sections, or go so far as to store images and artifacts on an object store

    – ssube
    Feb 5 at 19:28













13












13








13


2






When asking Gitlab support on how to do a 3TB backup on ones on-premise Gitlab they reply use our tool that produces a tarball.



This just seams wrong to me on all levels. This tarball contains the postgres dump, docker images, repo data, GIT LFS, etc config and so on. Backing up TB of static data together with KB very dynamic data doesn't seam right. And then comes the issue of, we want to do a backup every hour.



Question



I'd really like to know from others how they do it, to get a consistent backup.



ZFS on Linux would be fine with me, if that is part of the solution.










share|improve this question
















When asking Gitlab support on how to do a 3TB backup on ones on-premise Gitlab they reply use our tool that produces a tarball.



This just seams wrong to me on all levels. This tarball contains the postgres dump, docker images, repo data, GIT LFS, etc config and so on. Backing up TB of static data together with KB very dynamic data doesn't seam right. And then comes the issue of, we want to do a backup every hour.



Question



I'd really like to know from others how they do it, to get a consistent backup.



ZFS on Linux would be fine with me, if that is part of the solution.







linux backup postgresql zfs gitlab






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Feb 5 at 14:51







Sandra

















asked Feb 5 at 13:57









SandraSandra

4,5253282139




4,5253282139







  • 3





    Why is this wrong? You back up your Gitlab completely to restore it completely. I don't think this is wrong. Of course it uses much more space than say, incremental backups, but...I wouldn't care about backup size.

    – Lenniey
    Feb 5 at 14:05






  • 3





    Having a backup every hour is not unheard of, but it is impossible to make a 3TB in less than hour with their approach. And backups for just one day would be ~100TB, where there might only be 10MB of changes to the data.

    – Sandra
    Feb 5 at 14:11











  • OK, this is a different question, not about the backup in general but about frequent backups.

    – Lenniey
    Feb 5 at 14:13






  • 5





    In their official docs they even mention their method as being slow and suggest alternatives: If your GitLab server contains a lot of Git repository data you may find the GitLab backup script to be too slow. In this case you can consider using filesystem snapshots as part of your backup strategy. I can't speak from experience, though. But I may have to include something like this soon...

    – Lenniey
    Feb 5 at 14:19












  • Gitlab has options in the config file and backup flags that will allow you to exclude sections, or go so far as to store images and artifacts on an object store

    – ssube
    Feb 5 at 19:28












  • 3





    Why is this wrong? You back up your Gitlab completely to restore it completely. I don't think this is wrong. Of course it uses much more space than say, incremental backups, but...I wouldn't care about backup size.

    – Lenniey
    Feb 5 at 14:05






  • 3





    Having a backup every hour is not unheard of, but it is impossible to make a 3TB in less than hour with their approach. And backups for just one day would be ~100TB, where there might only be 10MB of changes to the data.

    – Sandra
    Feb 5 at 14:11











  • OK, this is a different question, not about the backup in general but about frequent backups.

    – Lenniey
    Feb 5 at 14:13






  • 5





    In their official docs they even mention their method as being slow and suggest alternatives: If your GitLab server contains a lot of Git repository data you may find the GitLab backup script to be too slow. In this case you can consider using filesystem snapshots as part of your backup strategy. I can't speak from experience, though. But I may have to include something like this soon...

    – Lenniey
    Feb 5 at 14:19












  • Gitlab has options in the config file and backup flags that will allow you to exclude sections, or go so far as to store images and artifacts on an object store

    – ssube
    Feb 5 at 19:28







3




3





Why is this wrong? You back up your Gitlab completely to restore it completely. I don't think this is wrong. Of course it uses much more space than say, incremental backups, but...I wouldn't care about backup size.

– Lenniey
Feb 5 at 14:05





Why is this wrong? You back up your Gitlab completely to restore it completely. I don't think this is wrong. Of course it uses much more space than say, incremental backups, but...I wouldn't care about backup size.

– Lenniey
Feb 5 at 14:05




3




3





Having a backup every hour is not unheard of, but it is impossible to make a 3TB in less than hour with their approach. And backups for just one day would be ~100TB, where there might only be 10MB of changes to the data.

– Sandra
Feb 5 at 14:11





Having a backup every hour is not unheard of, but it is impossible to make a 3TB in less than hour with their approach. And backups for just one day would be ~100TB, where there might only be 10MB of changes to the data.

– Sandra
Feb 5 at 14:11













OK, this is a different question, not about the backup in general but about frequent backups.

– Lenniey
Feb 5 at 14:13





OK, this is a different question, not about the backup in general but about frequent backups.

– Lenniey
Feb 5 at 14:13




5




5





In their official docs they even mention their method as being slow and suggest alternatives: If your GitLab server contains a lot of Git repository data you may find the GitLab backup script to be too slow. In this case you can consider using filesystem snapshots as part of your backup strategy. I can't speak from experience, though. But I may have to include something like this soon...

– Lenniey
Feb 5 at 14:19






In their official docs they even mention their method as being slow and suggest alternatives: If your GitLab server contains a lot of Git repository data you may find the GitLab backup script to be too slow. In this case you can consider using filesystem snapshots as part of your backup strategy. I can't speak from experience, though. But I may have to include something like this soon...

– Lenniey
Feb 5 at 14:19














Gitlab has options in the config file and backup flags that will allow you to exclude sections, or go so far as to store images and artifacts on an object store

– ssube
Feb 5 at 19:28





Gitlab has options in the config file and backup flags that will allow you to exclude sections, or go so far as to store images and artifacts on an object store

– ssube
Feb 5 at 19:28










2 Answers
2






active

oldest

votes


















10














For such a short time between backups (1h), your best bet is to rely on filesystem-level snapshot and send/recv support.



If using ZoL is not a problem in your environment, I would strongly advise to use it. ZFS is a very robust filesystem and you will really like all the extras (eg: compression) it offer. When coupled with sanoid/syncoid, it can provide a very strong backup strategy. The main disvantage is that it is not included into mainline kernel, so you need to install/update it separately.



Alternatively, if you really need to restrict yourself to mainline-included stuff, you can use BTRFS. But be sure to understand its (many) drawbacks and pita.



Finally, an alternative solution is to use lvmthin to take regular backups (eg: with snapper), relying on third party tools (eg: bdsync, blocksync, etc) to copy/ship deltas only.



A different approach would be to have two replicated machines (via DRBD) where you take indipendent snapshots via lvmthin.






share|improve this answer























  • What about postgres? Would to stop gitlab and postgres for a minute, so a consistant shapshot could be made? Ideally it would be great if postgres could be put in a read-only mode while the snapshot is made.

    – Sandra
    Feb 5 at 15:07






  • 4





    @Sandra restoring from a filesystem snapshots should appear to postgresql (and any other properly written databases) as a generic "host crash" scenario, triggering its own recovery procedure (ie: committing to main database any partially written page). In other words, you do not need to put postgres into read-only mode when taking snapshots.

    – shodanshok
    Feb 5 at 16:01


















14














I would review what you are backing up and possibly use a "multi-path" approach. For example, you could backup the Git repositories by constantly running through Git pulls on a backup servers. That would copy only the diff and leave you with a second copy of all Git repositories. Presumably you could detect new repos with the API.



And use the "built-in" backup procedures to backup the issues, etc. I doubt that the 3TB comes from this part so you would be able to do backups very often at very little cost. You could also set up the PostgreSQL database with a warm standby with replication.



Possibly your 3TB comes from container images in the Docker registry. Do you need to back those up? If so, then there may be a better approach just for that.



Basically, I would recommend really looking at what it is that makes up your backup and backup the data in various parts.



Even the backup tool from GitLab has options to include/exclude certain parts of the system such as the Docker Registry.






share|improve this answer


















  • 1





    git pulls is not a perfect incremental backup. git push --force will either break the backups or erase history from them, depending on how it's implemented.

    – dn3s
    Feb 6 at 3:23











  • @dn3s that's why you always disable git push --force on main repository. If someone want's to change history they can make their own fork, and accept all the risks it brings.

    – charlie_pl
    Feb 6 at 6:39







  • 2





    that might be fine for replication, but you don't want your backups' integrity to rely on correct application behavior. what happens if there's a bug in the application, or it's misconfigured down the road? what if your server is compromised by a malicious user? if your application has the ability to remove content from the backup host, much of the value of incremental remote backups is lost.

    – dn3s
    Feb 6 at 7:46











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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









10














For such a short time between backups (1h), your best bet is to rely on filesystem-level snapshot and send/recv support.



If using ZoL is not a problem in your environment, I would strongly advise to use it. ZFS is a very robust filesystem and you will really like all the extras (eg: compression) it offer. When coupled with sanoid/syncoid, it can provide a very strong backup strategy. The main disvantage is that it is not included into mainline kernel, so you need to install/update it separately.



Alternatively, if you really need to restrict yourself to mainline-included stuff, you can use BTRFS. But be sure to understand its (many) drawbacks and pita.



Finally, an alternative solution is to use lvmthin to take regular backups (eg: with snapper), relying on third party tools (eg: bdsync, blocksync, etc) to copy/ship deltas only.



A different approach would be to have two replicated machines (via DRBD) where you take indipendent snapshots via lvmthin.






share|improve this answer























  • What about postgres? Would to stop gitlab and postgres for a minute, so a consistant shapshot could be made? Ideally it would be great if postgres could be put in a read-only mode while the snapshot is made.

    – Sandra
    Feb 5 at 15:07






  • 4





    @Sandra restoring from a filesystem snapshots should appear to postgresql (and any other properly written databases) as a generic "host crash" scenario, triggering its own recovery procedure (ie: committing to main database any partially written page). In other words, you do not need to put postgres into read-only mode when taking snapshots.

    – shodanshok
    Feb 5 at 16:01















10














For such a short time between backups (1h), your best bet is to rely on filesystem-level snapshot and send/recv support.



If using ZoL is not a problem in your environment, I would strongly advise to use it. ZFS is a very robust filesystem and you will really like all the extras (eg: compression) it offer. When coupled with sanoid/syncoid, it can provide a very strong backup strategy. The main disvantage is that it is not included into mainline kernel, so you need to install/update it separately.



Alternatively, if you really need to restrict yourself to mainline-included stuff, you can use BTRFS. But be sure to understand its (many) drawbacks and pita.



Finally, an alternative solution is to use lvmthin to take regular backups (eg: with snapper), relying on third party tools (eg: bdsync, blocksync, etc) to copy/ship deltas only.



A different approach would be to have two replicated machines (via DRBD) where you take indipendent snapshots via lvmthin.






share|improve this answer























  • What about postgres? Would to stop gitlab and postgres for a minute, so a consistant shapshot could be made? Ideally it would be great if postgres could be put in a read-only mode while the snapshot is made.

    – Sandra
    Feb 5 at 15:07






  • 4





    @Sandra restoring from a filesystem snapshots should appear to postgresql (and any other properly written databases) as a generic "host crash" scenario, triggering its own recovery procedure (ie: committing to main database any partially written page). In other words, you do not need to put postgres into read-only mode when taking snapshots.

    – shodanshok
    Feb 5 at 16:01













10












10








10







For such a short time between backups (1h), your best bet is to rely on filesystem-level snapshot and send/recv support.



If using ZoL is not a problem in your environment, I would strongly advise to use it. ZFS is a very robust filesystem and you will really like all the extras (eg: compression) it offer. When coupled with sanoid/syncoid, it can provide a very strong backup strategy. The main disvantage is that it is not included into mainline kernel, so you need to install/update it separately.



Alternatively, if you really need to restrict yourself to mainline-included stuff, you can use BTRFS. But be sure to understand its (many) drawbacks and pita.



Finally, an alternative solution is to use lvmthin to take regular backups (eg: with snapper), relying on third party tools (eg: bdsync, blocksync, etc) to copy/ship deltas only.



A different approach would be to have two replicated machines (via DRBD) where you take indipendent snapshots via lvmthin.






share|improve this answer













For such a short time between backups (1h), your best bet is to rely on filesystem-level snapshot and send/recv support.



If using ZoL is not a problem in your environment, I would strongly advise to use it. ZFS is a very robust filesystem and you will really like all the extras (eg: compression) it offer. When coupled with sanoid/syncoid, it can provide a very strong backup strategy. The main disvantage is that it is not included into mainline kernel, so you need to install/update it separately.



Alternatively, if you really need to restrict yourself to mainline-included stuff, you can use BTRFS. But be sure to understand its (many) drawbacks and pita.



Finally, an alternative solution is to use lvmthin to take regular backups (eg: with snapper), relying on third party tools (eg: bdsync, blocksync, etc) to copy/ship deltas only.



A different approach would be to have two replicated machines (via DRBD) where you take indipendent snapshots via lvmthin.







share|improve this answer












share|improve this answer



share|improve this answer










answered Feb 5 at 14:59









shodanshokshodanshok

26.2k34587




26.2k34587












  • What about postgres? Would to stop gitlab and postgres for a minute, so a consistant shapshot could be made? Ideally it would be great if postgres could be put in a read-only mode while the snapshot is made.

    – Sandra
    Feb 5 at 15:07






  • 4





    @Sandra restoring from a filesystem snapshots should appear to postgresql (and any other properly written databases) as a generic "host crash" scenario, triggering its own recovery procedure (ie: committing to main database any partially written page). In other words, you do not need to put postgres into read-only mode when taking snapshots.

    – shodanshok
    Feb 5 at 16:01

















  • What about postgres? Would to stop gitlab and postgres for a minute, so a consistant shapshot could be made? Ideally it would be great if postgres could be put in a read-only mode while the snapshot is made.

    – Sandra
    Feb 5 at 15:07






  • 4





    @Sandra restoring from a filesystem snapshots should appear to postgresql (and any other properly written databases) as a generic "host crash" scenario, triggering its own recovery procedure (ie: committing to main database any partially written page). In other words, you do not need to put postgres into read-only mode when taking snapshots.

    – shodanshok
    Feb 5 at 16:01
















What about postgres? Would to stop gitlab and postgres for a minute, so a consistant shapshot could be made? Ideally it would be great if postgres could be put in a read-only mode while the snapshot is made.

– Sandra
Feb 5 at 15:07





What about postgres? Would to stop gitlab and postgres for a minute, so a consistant shapshot could be made? Ideally it would be great if postgres could be put in a read-only mode while the snapshot is made.

– Sandra
Feb 5 at 15:07




4




4





@Sandra restoring from a filesystem snapshots should appear to postgresql (and any other properly written databases) as a generic "host crash" scenario, triggering its own recovery procedure (ie: committing to main database any partially written page). In other words, you do not need to put postgres into read-only mode when taking snapshots.

– shodanshok
Feb 5 at 16:01





@Sandra restoring from a filesystem snapshots should appear to postgresql (and any other properly written databases) as a generic "host crash" scenario, triggering its own recovery procedure (ie: committing to main database any partially written page). In other words, you do not need to put postgres into read-only mode when taking snapshots.

– shodanshok
Feb 5 at 16:01













14














I would review what you are backing up and possibly use a "multi-path" approach. For example, you could backup the Git repositories by constantly running through Git pulls on a backup servers. That would copy only the diff and leave you with a second copy of all Git repositories. Presumably you could detect new repos with the API.



And use the "built-in" backup procedures to backup the issues, etc. I doubt that the 3TB comes from this part so you would be able to do backups very often at very little cost. You could also set up the PostgreSQL database with a warm standby with replication.



Possibly your 3TB comes from container images in the Docker registry. Do you need to back those up? If so, then there may be a better approach just for that.



Basically, I would recommend really looking at what it is that makes up your backup and backup the data in various parts.



Even the backup tool from GitLab has options to include/exclude certain parts of the system such as the Docker Registry.






share|improve this answer


















  • 1





    git pulls is not a perfect incremental backup. git push --force will either break the backups or erase history from them, depending on how it's implemented.

    – dn3s
    Feb 6 at 3:23











  • @dn3s that's why you always disable git push --force on main repository. If someone want's to change history they can make their own fork, and accept all the risks it brings.

    – charlie_pl
    Feb 6 at 6:39







  • 2





    that might be fine for replication, but you don't want your backups' integrity to rely on correct application behavior. what happens if there's a bug in the application, or it's misconfigured down the road? what if your server is compromised by a malicious user? if your application has the ability to remove content from the backup host, much of the value of incremental remote backups is lost.

    – dn3s
    Feb 6 at 7:46
















14














I would review what you are backing up and possibly use a "multi-path" approach. For example, you could backup the Git repositories by constantly running through Git pulls on a backup servers. That would copy only the diff and leave you with a second copy of all Git repositories. Presumably you could detect new repos with the API.



And use the "built-in" backup procedures to backup the issues, etc. I doubt that the 3TB comes from this part so you would be able to do backups very often at very little cost. You could also set up the PostgreSQL database with a warm standby with replication.



Possibly your 3TB comes from container images in the Docker registry. Do you need to back those up? If so, then there may be a better approach just for that.



Basically, I would recommend really looking at what it is that makes up your backup and backup the data in various parts.



Even the backup tool from GitLab has options to include/exclude certain parts of the system such as the Docker Registry.






share|improve this answer


















  • 1





    git pulls is not a perfect incremental backup. git push --force will either break the backups or erase history from them, depending on how it's implemented.

    – dn3s
    Feb 6 at 3:23











  • @dn3s that's why you always disable git push --force on main repository. If someone want's to change history they can make their own fork, and accept all the risks it brings.

    – charlie_pl
    Feb 6 at 6:39







  • 2





    that might be fine for replication, but you don't want your backups' integrity to rely on correct application behavior. what happens if there's a bug in the application, or it's misconfigured down the road? what if your server is compromised by a malicious user? if your application has the ability to remove content from the backup host, much of the value of incremental remote backups is lost.

    – dn3s
    Feb 6 at 7:46














14












14








14







I would review what you are backing up and possibly use a "multi-path" approach. For example, you could backup the Git repositories by constantly running through Git pulls on a backup servers. That would copy only the diff and leave you with a second copy of all Git repositories. Presumably you could detect new repos with the API.



And use the "built-in" backup procedures to backup the issues, etc. I doubt that the 3TB comes from this part so you would be able to do backups very often at very little cost. You could also set up the PostgreSQL database with a warm standby with replication.



Possibly your 3TB comes from container images in the Docker registry. Do you need to back those up? If so, then there may be a better approach just for that.



Basically, I would recommend really looking at what it is that makes up your backup and backup the data in various parts.



Even the backup tool from GitLab has options to include/exclude certain parts of the system such as the Docker Registry.






share|improve this answer













I would review what you are backing up and possibly use a "multi-path" approach. For example, you could backup the Git repositories by constantly running through Git pulls on a backup servers. That would copy only the diff and leave you with a second copy of all Git repositories. Presumably you could detect new repos with the API.



And use the "built-in" backup procedures to backup the issues, etc. I doubt that the 3TB comes from this part so you would be able to do backups very often at very little cost. You could also set up the PostgreSQL database with a warm standby with replication.



Possibly your 3TB comes from container images in the Docker registry. Do you need to back those up? If so, then there may be a better approach just for that.



Basically, I would recommend really looking at what it is that makes up your backup and backup the data in various parts.



Even the backup tool from GitLab has options to include/exclude certain parts of the system such as the Docker Registry.







share|improve this answer












share|improve this answer



share|improve this answer










answered Feb 5 at 15:08









ETLETL

5,49711944




5,49711944







  • 1





    git pulls is not a perfect incremental backup. git push --force will either break the backups or erase history from them, depending on how it's implemented.

    – dn3s
    Feb 6 at 3:23











  • @dn3s that's why you always disable git push --force on main repository. If someone want's to change history they can make their own fork, and accept all the risks it brings.

    – charlie_pl
    Feb 6 at 6:39







  • 2





    that might be fine for replication, but you don't want your backups' integrity to rely on correct application behavior. what happens if there's a bug in the application, or it's misconfigured down the road? what if your server is compromised by a malicious user? if your application has the ability to remove content from the backup host, much of the value of incremental remote backups is lost.

    – dn3s
    Feb 6 at 7:46













  • 1





    git pulls is not a perfect incremental backup. git push --force will either break the backups or erase history from them, depending on how it's implemented.

    – dn3s
    Feb 6 at 3:23











  • @dn3s that's why you always disable git push --force on main repository. If someone want's to change history they can make their own fork, and accept all the risks it brings.

    – charlie_pl
    Feb 6 at 6:39







  • 2





    that might be fine for replication, but you don't want your backups' integrity to rely on correct application behavior. what happens if there's a bug in the application, or it's misconfigured down the road? what if your server is compromised by a malicious user? if your application has the ability to remove content from the backup host, much of the value of incremental remote backups is lost.

    – dn3s
    Feb 6 at 7:46








1




1





git pulls is not a perfect incremental backup. git push --force will either break the backups or erase history from them, depending on how it's implemented.

– dn3s
Feb 6 at 3:23





git pulls is not a perfect incremental backup. git push --force will either break the backups or erase history from them, depending on how it's implemented.

– dn3s
Feb 6 at 3:23













@dn3s that's why you always disable git push --force on main repository. If someone want's to change history they can make their own fork, and accept all the risks it brings.

– charlie_pl
Feb 6 at 6:39






@dn3s that's why you always disable git push --force on main repository. If someone want's to change history they can make their own fork, and accept all the risks it brings.

– charlie_pl
Feb 6 at 6:39





2




2





that might be fine for replication, but you don't want your backups' integrity to rely on correct application behavior. what happens if there's a bug in the application, or it's misconfigured down the road? what if your server is compromised by a malicious user? if your application has the ability to remove content from the backup host, much of the value of incremental remote backups is lost.

– dn3s
Feb 6 at 7:46






that might be fine for replication, but you don't want your backups' integrity to rely on correct application behavior. what happens if there's a bug in the application, or it's misconfigured down the road? what if your server is compromised by a malicious user? if your application has the ability to remove content from the backup host, much of the value of incremental remote backups is lost.

– dn3s
Feb 6 at 7:46


















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