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- # NOTE: this file is commented out as users are reccomended to use the
- # native anomaly detection capabilities on the agent instead.
- # meta:
- # plugin_name: python.d.plugin
- # module_name: anomalies
- # monitored_instance:
- # name: python.d anomalies
- # link: ""
- # categories: []
- # icon_filename: ""
- # related_resources:
- # integrations:
- # list: []
- # info_provided_to_referring_integrations:
- # description: ""
- # keywords: []
- # most_popular: false
- # overview:
- # data_collection:
- # metrics_description: ""
- # method_description: ""
- # supported_platforms:
- # include: []
- # exclude: []
- # multi_instance: true
- # additional_permissions:
- # description: ""
- # default_behavior:
- # auto_detection:
- # description: ""
- # limits:
- # description: ""
- # performance_impact:
- # description: ""
- # setup:
- # prerequisites:
- # list: []
- # configuration:
- # file:
- # name: ""
- # description: ""
- # options:
- # description: ""
- # folding:
- # title: ""
- # enabled: true
- # list: []
- # examples:
- # folding:
- # enabled: true
- # title: ""
- # list: []
- # troubleshooting:
- # problems:
- # list: []
- # alerts:
- # - name: anomalies_anomaly_probabilities
- # link: https://github.com/netdata/netdata/blob/master/health/health.d/anomalies.conf
- # metric: anomalies.probability
- # info: average anomaly probability over the last 2 minutes
- # - name: anomalies_anomaly_flags
- # link: https://github.com/netdata/netdata/blob/master/health/health.d/anomalies.conf
- # metric: anomalies.anomaly
- # info: number of anomalies in the last 2 minutes
- # metrics:
- # folding:
- # title: Metrics
- # enabled: false
- # description: ""
- # availability: []
- # scopes:
- # - name: global
- # description: ""
- # labels: []
- # metrics:
- # - name: anomalies.probability
- # description: Anomaly Probability
- # unit: "probability"
- # chart_type: line
- # dimensions:
- # - name: a dimension per probability
- # - name: anomalies.anomaly
- # description: Anomaly
- # unit: "count"
- # chart_type: stacked
- # dimensions:
- # - name: a dimension per anomaly
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