Hello Splunk team and community,
I am working with the Splunk Machine Learning (ML) toolkit to detect anomalies in Oracle logs. Particularly, I have logs in Splunk that
contains both error and unerrored data, Is there any way where i need to detect anomalous in the logs says if there are suddenly some
50 errors received instead of normal by analyzing the history
If anyone has any ideas, tips, or guidance, I will be very grateful!