Splunk Search

Sum value from distinct hosts over time

caviman2201
Path Finder

I have a bunch of hosts streaming logs that show metrics like cpu count. The problem is that they all send those logs at different times. I'm trying to calculate perform math on the aggregate metrics, but everything is wrong because I can't figure out how to perform math on the values from distinct hosts. I've searched for deduping on a span and got nowhere. Logs look something like this:

1:00:01 - ip=192.168.1.5 cpu_count=8
1:00:01 - ip=192.168.1.6 cpu_count=8
1:00:02 - ip=192.168.1.7 cpu_count=8
1:00:03 - ip=192.168.1.8 cpu_count=8
1:00:03 - ip=192.168.1.7 cpu_count=8
1:00:03 - ip=192.168.1.5 cpu_count=8
1:00:03 - ip=192.168.1.6 cpu_count=8
1:00:04 - ip=192.168.1.7 cpu_count=8
1:00:04 - ip=192.168.1.8 cpu_count=8

what i want to do is something like | dedup span=1m by ip | eval TotalPercent = cpu_count * 100 | timechart sum(TotalPercent) AS TotalAvailableCPUPercent

hope that makes sense

Tags (1)
0 Karma
1 Solution

Ayn
Legend

You probably want bucket for grouping your events by time and deduping on that.

... | bucket _time span=1m | dedup _time ip | eval TotalPercent = cpu_count * 100 | chart sum(TotalPercent) AS TotalAvailableCPUPercent over _time

View solution in original post

0 Karma

Ayn
Legend

You probably want bucket for grouping your events by time and deduping on that.

... | bucket _time span=1m | dedup _time ip | eval TotalPercent = cpu_count * 100 | chart sum(TotalPercent) AS TotalAvailableCPUPercent over _time
0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Persistent Queue at TcpOut — One of Splunk's Most Practical Features

Splunk introduced persistent queueing at the tcpout layer as one of the most practical resilience features in ...

Skip the Awkward Silence: Have a .conf-ersation at .conf26

Picture this. You arrive at .conf26 already having your socializing and networking plans mapped out. No ...

Rethinking Zero Trust: From Product Purchases to Logical Control Evidence

Implementing Zero Trust (ZT) across complex environments often falters at the very beginning due to a ...