All Apps and Add-ons

Dimensions and splunk machine learning app

winknotes
Path Finder

Under 'Detect Categorical Outliers' (sgname is the dimension of the name of logical device groupings). The mstats query gathers write response time for a number of device groupings.

| mstats avg(write_response_metric_name) WHERE index=myindex span=5m by sgname

My question is how can I detect outliers accurately but still know which group it's associated with? If I select the sgname and the metric it returns a very different result than just selecting the metric itself.

Any help would be appreciated.

0 Karma
Get Updates on the Splunk Community!

Enter the Agentic Era with Splunk AI Assistant for SPL 1.4

  🚀 Your data just got a serious AI upgrade — are you ready? Say hello to the Agentic Era with the ...

Stronger Security with Federated Search for S3, GCP SQL & Australian Threat ...

Splunk Lantern is a Splunk customer success center that provides advice from Splunk experts on valuable data ...

Accelerating Observability as Code with the Splunk AI Assistant

We’ve seen in previous posts what Observability as Code (OaC) is and how it’s now essential for managing ...