You can use this for any type of baselining alerts around a predefined standard deviation. I used the IDS data model but the same logic can be applied to any random index. |`tstats` count from datamodel=Intrusion_Detection.IDS_Attacks where IDS_Attacks.ids_type=”network” by IDS_Attacks.dest,_time span=10m | stats count by IDS_Attacks.dest,_time| eval threshold=relative_time(now(),”-10m”) | stats max(eval(if(_time>=threshold, count null()))) as latest […]
