Using the holt function in Timelion to do anomaly detection on Metricbeat data in Kibana: Expression: $thres=0.02, .es(index='metricbeat*',metric='max:system.cpu.user.pct').lines(1).if(eq, 0, null).holt(0.9, 0.1, 0.9, 0.5h).color(#eee).lines(10).label('Prediction'), .es(index='metricbeat*',metric='max:system.cpu.user.pct').color(#666).lines(1).label(Actual), .es(index='metricbeat*',metric='max:system.cpu.user.pct').lines(1).if(eq, 0, null).holt(0.9, 0.1, 0.9, 0.5h).subtract(.es(index='metricbeat*',metric='max:system.cpu.user.pct')).abs().if(lt, $thres, null, .es(index='metricbeat*',metric='max:system.cpu.user.pct')).points(10,3,0).color(#c66).label('Anomaly').title('max:system.cpu.user.pct / @rmoff') References: https://twitter.com/rashidkpc/status/762754396111327232 https://github.com/elastic/timelion/issues/87 https://github.com/elastic/timelion/blob/master/FUNCTIONS.md

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