I have metric beat data from elasticsearch, which has a number of properties/columns like "cpu idle percentage", "cpu usage percentage" etc. I want to predict anomalies when my server cpu usage goes beyond 90% for lets say 3 minutes. Can someone shed some light on this?
Take a Look at this: Implementing a Statistical Anomaly Detector in Elasticsearch
I've implemented the article myself and that's nice :-)