Getting Data In

Forwarder Load Balancer duplicating data problem.

clyde772
Communicator

I am trying to have LB setup to send large volume of data into 4 different INDEXES in round robin structure.

But when I set up the forwarder LB, the forwarder sends exact duplicate copies of data into 4 of those indexers instead of scattering the data amongst the indexers.

So 100G sent from forwarder, 100G shows up on each indexers, instead of 25G per indexers. How can I setup forwarder to load 100G of data into 4 indexer consuming 25G on each indexers.

Here is my outputs.conf following the docementation. Am I missing any tricks?

================ outputs.conf =====================

[tcpout:10.150.206.29_9997]
disabled=false
autoLB = true
autoLBFrequency=40
server = 10.150.206.29:9997

[tcpout:10.150.233.4_9997]
disabled=false
autoLB = true
autoLBFrequency=40
server = 10.150.233.4:9997

[tcpout:10.154.39.173_9997]
disabled=false
autoLB = true
autoLBFrequency=40
server = 10.154.39.173:9997

[tcpout:10.150.201.29_9997]
disabled=false
autoLB = true
autoLBFrequency=40
server = 10.150.201.29:9997

[tcpout]
defaultGroup = 10.150.206.29_9997,10.150.233.4_9997,10.154.39.173_9997,10.150.201.29_9997

=====================================================

Tags (2)
0 Karma

lguinn2
Legend

I think of it this way: each stanza sets up a duplicate output stream. So what you need is:

[tcpout]
defaultGroup = my_indexers

[tcpout:my_indexers]
disabled=false
autoLB = true
autoLBFrequency=40
server = 10.150.206.29:9997,10.150.233.4:9997,10.154.39.173:9997,10.150.201.29:9997

And it's shorter, too!

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 ...