Dear Splunk Community,
I’m currently facing an urgent issue in my Splunk environment: my storage utilization has reached 95%, which threatens system continuity and performance. I plan to move older data to external storage before it’s too late, but I haven’t yet implemented a bucket‐policy to automate time-based data retention.
I would greatly appreciate your expertise on:
Best practices for safely and efficiently migrating old data from my current Splunk indexes to external storage.
Recommended scripts or Splunkbase apps that facilitate this process.
How to ensure continued access to the migrated data when needed, without impacting search performance.
Any additional suggestions, practical examples, or links to detailed documentation.
Thank you in advance for your time and assistance.
Kind regards,
First things first.
1. You posted this in Splunk SOAR section of Answers but the question seems to be about Splunk Enterprise. I'll move this thread to appropriate section but please try to be careful about where you post - the sections are there so that we keep the forums tidy and make it easier to find answers to your problems.
2. We have no idea if you have a standalone installation or clustered indexers. A cluster involves way more work to do what you're asking about and needs special care not to break it.
3. While moving indexes around is possible after their initial creation, it's a risky operation if not done properly and therefore I'd advise against attempting it by an inexperienced admin.
You have been warned.
One more very important thing - what do you mean by "external storage"? If you plan on moving some of your indexes onto some CIFS or NFS (depending on the system your Splunk runs on) share, forget it. This type of storage can be used for storing frozen buckets but not for searchable data.
And now the second warning. You have been warned twice.
Since Splunk's indexes are "just" directories on a disk there are two approaches to task of moving the data around.
Option one - stop your Splunk, move the hot/warm and/or cold directories to another directory and adjust the index definition in indexes.conf accordingly, start Splunk
Option two - stop your Splunk, move the hot/warm and/or cold directories to another directory and make the OS see the new location under the old location (using bind mount, symlink, junction - depending on the underlying OS), start Splunk.
In case of clustered indexers you must go with the second option, at least until you've moved data in all indexers, because all indexers must share the same config so you can't reconfigure just some of the indexers.
Option two is the only way to go if you wanted to move just some part of your buckets (like oldest half of cold buckets) but this is something even I wouldn't try to do in production. You have been warned thrice!
Having said that - it would probably be way easier to attach an external storage as frozen storage and make Splunk rotate the older buckets there. Of course frozen buckets are not searchable so from Splunk's point of view they are effectively deleted. (And handling frozen buckets in a cluster can be tricky if you want to avoid duplicated frozen buckets).
Another option (but that completely messes with your overall architecture) would be to use a remote S3-compatible storage and define smartstore-backed indexes but it is a huge ovehrhaul of your whole setup and while in some cases it can help, in others it can cause additional problems so YMMV.
First things first.
1. You posted this in Splunk SOAR section of Answers but the question seems to be about Splunk Enterprise. I'll move this thread to appropriate section but please try to be careful about where you post - the sections are there so that we keep the forums tidy and make it easier to find answers to your problems.
2. We have no idea if you have a standalone installation or clustered indexers. A cluster involves way more work to do what you're asking about and needs special care not to break it.
3. While moving indexes around is possible after their initial creation, it's a risky operation if not done properly and therefore I'd advise against attempting it by an inexperienced admin.
You have been warned.
One more very important thing - what do you mean by "external storage"? If you plan on moving some of your indexes onto some CIFS or NFS (depending on the system your Splunk runs on) share, forget it. This type of storage can be used for storing frozen buckets but not for searchable data.
And now the second warning. You have been warned twice.
Since Splunk's indexes are "just" directories on a disk there are two approaches to task of moving the data around.
Option one - stop your Splunk, move the hot/warm and/or cold directories to another directory and adjust the index definition in indexes.conf accordingly, start Splunk
Option two - stop your Splunk, move the hot/warm and/or cold directories to another directory and make the OS see the new location under the old location (using bind mount, symlink, junction - depending on the underlying OS), start Splunk.
In case of clustered indexers you must go with the second option, at least until you've moved data in all indexers, because all indexers must share the same config so you can't reconfigure just some of the indexers.
Option two is the only way to go if you wanted to move just some part of your buckets (like oldest half of cold buckets) but this is something even I wouldn't try to do in production. You have been warned thrice!
Having said that - it would probably be way easier to attach an external storage as frozen storage and make Splunk rotate the older buckets there. Of course frozen buckets are not searchable so from Splunk's point of view they are effectively deleted. (And handling frozen buckets in a cluster can be tricky if you want to avoid duplicated frozen buckets).
Another option (but that completely messes with your overall architecture) would be to use a remote S3-compatible storage and define smartstore-backed indexes but it is a huge ovehrhaul of your whole setup and while in some cases it can help, in others it can cause additional problems so YMMV.
Thank you, it worked.
Hi @kn450
To address high storage utilization by moving older Splunk data, the recommended approach involves configuring data retirement policies. Manually moving buckets is generally discouraged due to complexity and risk.
Splunk manages data through buckets representing time chunks. These buckets transition from hot (actively written), to warm (read-only), to cold (read-only, potentially moved). The final state is frozen, where Splunk expects the data to be archived or deleted based on indexes.conf settings. Manually moving buckets breaks this native searchability. For more info check out https://docs.splunk.com/Documentation/Splunk/9.4.1/Indexer/Automatearchiving
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Thank you, it worked.