Deployment Architecture

what happens when NAS used for search head pooling goes down?

mfrost8
Builder

Our search heads are on our indexers (i.e. they're the same thing). We're looking at doing search head pooling in that scenario.

When using NAS I tend to think not so much of "if" the storage will be unavailable but when. I realize that if it's disappears, searches (scheduled and manual) won't happen. What I'm most concerned about is if indexing of data would stop and Splunk would grind to a halt.

It would of course, be very cool if even searches would continue because Splunk switched to a "plan B" where it realized it couldn't write to the shared dir (NAS) but instead wrote to something locally until the NAS became available again.

What does Splunk do when the NAS used for search head pooling goes away and the search heads are also indexers?

Thanks

0 Karma

rmorlen
Splunk Employee
Splunk Employee

From what I understand you will lose your apps and not be able to access saved searches for users. We are also trying to find a solution for this problem.

0 Karma

mfrost8
Builder

I have since been told that you don't want to use search-head pooling on an indexer. Pooling would only apply to a standalone search head. Not that I'm thrilled with NFS in that situation either, but certainly keeping the NFS away from indexing is a good thing. At 2011 User Conf, I recall the presenter from Viacom talking about a solution where they would rsync certain data frequently between the search heads, simulating search head pooling but with better i/o rates in their case.

Get Updates on the Splunk Community!

Announcing Scheduled Export GA for Dashboard Studio

We're excited to announce the general availability of Scheduled Export for Dashboard Studio. Starting in ...

Extending Observability Content to Splunk Cloud

Watch Now!   In this Extending Observability Content to Splunk Cloud Tech Talk, you'll see how to leverage ...

More Control Over Your Monitoring Costs with Archived Metrics GA in US-AWS!

What if there was a way you could keep all the metrics data you need while saving on storage costs?This is now ...