Splunk Search

Detect abnormalities with splunk

indeed_2000
Motivator

Hi

I have key value that call (duration) in my application log that show duration of each job done.

each day when I get maximum duration it has false positive because it is natural to become high duration in some point.

It’s not normal when it continues high duration.

e.g. 
normal condition:

00:01:00.000 WARNING duration[0.01]
00:01:00.000 WARNING duration[100.01]
00:01:00.000 WARNING duration[0.01]

 

abnormal condition:

00:01:00.000 WARNING duration[0.01]
00:01:00.000 WARNING duration[100.01]
00:01:00.000 WARNING duration[50.01]

00:01:00.000 WARNING duration[90.01]
00:01:00.000 WARNING duration[100.01]
00:01:00.000 WARNING duration[0.01]

 

1-how can I detect abnormal condition with splunk? (Best way with minimum false positive on hug data)

2-which visualization or chart more suitable to show this abnormal condition daily? this is huge log file and it is difficult to show all data for each day on single chart.

Any idea?

 Thanks,

 

Labels (5)
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!

Make Your Machine Data AI-Ready in Splunk

Every team is getting ready for AI agents.   Thursday, November 12, 2026  |  11AM  PST / 2PM EST   ...

Splunk Asynchronous Forwarding Explained

Splunk asynchronous forwarding is often misunderstood as simply setting autoLBVolume. That is not quite right. ...

How to Monitor AI Agents with Splunk Agent Observability

Let’s say I’m running a travel planning AI app in production. A user asks for three concise hotel options in ...