Is there a way to achieve the following with elastic machine learning:
A sample demo structure:
Index data has the following fields: job_duration_time,server, boot_time, run_time
the first field:job_duration_time, is a summary of the last two: job_duration_time=boot_time+run_time
i would like to achieve:
- find anomalies in job_duration_time by server (i know how to implement: multi metric job checking median of job_duration_time splitted to server)
- find the root cause . meaning: find which of of the boot_time/run_time has correlation to the first anomaly.
example for such correlation: