Splunk Search

Using Machine Learning Toolkit to detect server latency

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 lot’s  of 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 (4)
0 Karma
Get Updates on the Splunk Community!

New in Observability - Improvements to Custom Metrics SLOs, Log Observer Connect & ...

The latest enhancements to the Splunk observability portfolio deliver improved SLO management accuracy, better ...

Improve Data Pipelines Using Splunk Data Management

  Register Now   This Tech Talk will explore the pipeline management offerings Edge Processor and Ingest ...

3-2-1 Go! How Fast Can You Debug Microservices with Observability Cloud?

Register Join this Tech Talk to learn how unique features like Service Centric Views, Tag Spotlight, and ...