diff options
Diffstat (limited to 'health/health.d/ml.conf')
| -rw-r--r-- | health/health.d/ml.conf | 33 |
1 files changed, 18 insertions, 15 deletions
diff --git a/health/health.d/ml.conf b/health/health.d/ml.conf index 6836ce7b1..aef9b0368 100644 --- a/health/health.d/ml.conf +++ b/health/health.d/ml.conf @@ -3,23 +3,26 @@ # native anomaly detection here: # https://learn.netdata.cloud/docs/agent/ml#anomaly-bit---100--anomalous-0--normal -# examples below are commented, you would need to uncomment and adjust as desired to enable them. +# some examples below are commented, you would need to uncomment and adjust as desired to enable them. -# node level anomaly rate example +# node level anomaly rate # https://learn.netdata.cloud/docs/agent/ml#node-anomaly-rate -# if node level anomaly rate is between 1-5% then warning (pick your own threshold that works best via tial and error). -# if node level anomaly rate is above 5% then critical (pick your own threshold that works best via tial and error). -# template: ml_1min_node_ar -# on: anomaly_detection.anomaly_rate -# os: linux -# hosts: * -# lookup: average -1m foreach anomaly_rate -# calc: $this -# units: % -# every: 30s -# warn: $this > (($status >= $WARNING) ? (1) : (5)) -# crit: $this > (($status == $CRITICAL) ? (5) : (100)) -# info: rolling 1min node level anomaly rate +# if node level anomaly rate is above 1% then warning (pick your own threshold that works best via trial and error). + template: ml_1min_node_ar + on: anomaly_detection.anomaly_rate + class: Workload + type: System +component: ML + os: * + hosts: * + lookup: average -1m of anomaly_rate + calc: $this + units: % + every: 30s + warn: $this > 1 + summary: ML node anomaly rate + info: Rolling 1min node level anomaly rate + to: silent # alert per dimension example # if anomaly rate is between 5-20% then warning (pick your own threshold that works best via tial and error). |