Getting Data In

Load Balancing without the use of Forwarders

Ant1D
Motivator

Hi,

I have set up a Splunk environment in which several applications will be sending data to a collection of indexers. I am considering using a traditional load balancer to manage the receiving of data by the indexers. Is this possible with a traditional load balancer or can I only do load balancing in Splunk via a Forwarder's load balancing capabilities?

Thanks in advance for your replies.

0 Karma

bmacias84
Champion

@Ant1D, The anwser is yes you can. To accomplish this you would use a modified version of Horizontal Scaling. Once you have configured you Traditional LB just configure your autoLBFrequency to the desireved value which will cause the forward to start a new stream on that interval.

Additional reading:


[tcpout]
defaultGroup=my_traditionalLB
[tcpout:my_traditionalLB]
disabled=false
autoLBFrequency=40
server=<IPorFQDN_of_LB>:9997

Hope this help or gets you started. Dont forget to vote or accept answers.

Cheers,

Ant1D
Motivator

An example of a traditional load balancer here would be Cisco ACE

0 Karma

Ant1D
Motivator

Hi I am basically saying that I do not want to use the load balancing functionality on Splunk Forwarders. I essentially want to know if someone has used an alternative to manage how data is sent to collection of forwarders

0 Karma

barakreeves
Splunk Employee
Splunk Employee

To better help you, could you please define what a "traditional load balancer" is? Then we should be able to help you out.

0 Karma
Get Updates on the Splunk Community!

Stay Connected: Your Guide to January Tech Talks, Office Hours, and Webinars!

What are Community Office Hours? Community Office Hours is an interactive 60-minute Zoom series where ...

[Puzzles] Solve, Learn, Repeat: Reprocessing XML into Fixed-Length Events

This challenge was first posted on Slack #puzzles channelFor a previous puzzle, I needed a set of fixed-length ...

Data Management Digest – December 2025

Welcome to the December edition of Data Management Digest! As we continue our journey of data innovation, the ...