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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-08-10 09:18:52 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2023-08-10 09:19:08 +0000 |
commit | a2d7dede737947d7c6afa20a88e1f0c64e0eb96c (patch) | |
tree | fed4aff7dbe0be00cf91de6261d98bc0eb9a2449 /collectors/python.d.plugin/zscores/metadata.yaml | |
parent | Releasing debian version 1.41.0-1. (diff) | |
download | netdata-a2d7dede737947d7c6afa20a88e1f0c64e0eb96c.tar.xz netdata-a2d7dede737947d7c6afa20a88e1f0c64e0eb96c.zip |
Merging upstream version 1.42.0.
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'collectors/python.d.plugin/zscores/metadata.yaml')
-rw-r--r-- | collectors/python.d.plugin/zscores/metadata.yaml | 262 |
1 files changed, 186 insertions, 76 deletions
diff --git a/collectors/python.d.plugin/zscores/metadata.yaml b/collectors/python.d.plugin/zscores/metadata.yaml index 740d91e41..388e9b460 100644 --- a/collectors/python.d.plugin/zscores/metadata.yaml +++ b/collectors/python.d.plugin/zscores/metadata.yaml @@ -1,77 +1,187 @@ -meta: - plugin_name: python.d.plugin - module_name: zscores - monitored_instance: - name: python.d zscores - 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: [] -metrics: - folding: - title: Metrics - enabled: false - description: "" - availability: [] - scopes: - - name: global - description: "" - labels: [] +plugin_name: python.d.plugin +modules: + - meta: + plugin_name: python.d.plugin + module_name: zscores + monitored_instance: + name: python.d zscores + link: https://en.wikipedia.org/wiki/Standard_score + categories: + - data-collection.other + icon_filename: "" + related_resources: + integrations: + list: [] + info_provided_to_referring_integrations: + description: "" + keywords: + - zscore + - z-score + - standard score + - standard deviation + - anomaly detection + - statistical anomaly detection + most_popular: false + overview: + data_collection: + metrics_description: | + By using smoothed, rolling [Z-Scores](https://en.wikipedia.org/wiki/Standard_score) for selected metrics or charts you can narrow down your focus and shorten root cause analysis. + method_description: | + This collector uses the [Netdata rest api](https://github.com/netdata/netdata/blob/master/web/api/README.md) to get the `mean` and `stddev` + for each dimension on specified charts over a time range (defined by `train_secs` and `offset_secs`). + + For each dimension it will calculate a Z-Score as `z = (x - mean) / stddev` (clipped at `z_clip`). Scores are then smoothed over + time (`z_smooth_n`) and, if `mode: 'per_chart'`, aggregated across dimensions to a smoothed, rolling chart level Z-Score at each time step. + supported_platforms: + include: [] + exclude: [] + multi_instance: true + additional_permissions: + description: "" + default_behavior: + auto_detection: + description: "" + limits: + description: "" + performance_impact: + description: "" + setup: + prerequisites: + list: + - title: Python Requirements + description: | + This collector will only work with Python 3 and requires the below packages be installed. + + ```bash + # become netdata user + sudo su -s /bin/bash netdata + # install required packages + pip3 install numpy pandas requests netdata-pandas==0.0.38 + ``` + configuration: + file: + name: python.d/zscores.conf + description: "" + options: + description: | + There are 2 sections: + + * Global variables + * One or more JOBS that can define multiple different instances to monitor. + + The following options can be defined globally: priority, penalty, autodetection_retry, update_every, but can also be defined per JOB to override the global values. + + Additionally, the following collapsed table contains all the options that can be configured inside a JOB definition. + + Every configuration JOB starts with a `job_name` value which will appear in the dashboard, unless a `name` parameter is specified. + folding: + title: "Config options" + enabled: true + list: + - name: charts_regex + description: what charts to pull data for - A regex like `system\..*|` or `system\..*|apps.cpu|apps.mem` etc. + default_value: "system\\..*" + required: true + - name: train_secs + description: length of time (in seconds) to base calculations off for mean and stddev. + default_value: 14400 + required: true + - name: offset_secs + description: offset (in seconds) preceding latest data to ignore when calculating mean and stddev. + default_value: 300 + required: true + - name: train_every_n + description: recalculate the mean and stddev every n steps of the collector. + default_value: 900 + required: true + - name: z_smooth_n + description: smooth the z score (to reduce sensitivity to spikes) by averaging it over last n values. + default_value: 15 + required: true + - name: z_clip + description: cap absolute value of zscore (before smoothing) for better stability. + default_value: 10 + required: true + - name: z_abs + description: "set z_abs: 'true' to make all zscores be absolute values only." + default_value: "true" + required: true + - name: burn_in + description: burn in period in which to initially calculate mean and stddev on every step. + default_value: 2 + required: true + - name: mode + description: mode can be to get a zscore 'per_dim' or 'per_chart'. + default_value: per_chart + required: true + - name: per_chart_agg + description: per_chart_agg is how you aggregate from dimension to chart when mode='per_chart'. + default_value: mean + required: true + - name: update_every + description: Sets the default data collection frequency. + default_value: 5 + required: false + - name: priority + description: Controls the order of charts at the netdata dashboard. + default_value: 60000 + required: false + - name: autodetection_retry + description: Sets the job re-check interval in seconds. + default_value: 0 + required: false + - name: penalty + description: Indicates whether to apply penalty to update_every in case of failures. + default_value: yes + required: false + examples: + folding: + enabled: true + title: "Config" + list: + - name: Default + description: Default configuration. + folding: + enabled: false + config: | + local: + name: 'local' + host: '127.0.0.1:19999' + charts_regex: 'system\..*' + charts_to_exclude: 'system.uptime' + train_secs: 14400 + offset_secs: 300 + train_every_n: 900 + z_smooth_n: 15 + z_clip: 10 + z_abs: 'true' + burn_in: 2 + mode: 'per_chart' + per_chart_agg: 'mean' + troubleshooting: + problems: + list: [] + alerts: [] metrics: - - name: zscores.z - description: Z Score - unit: "z" - chart_type: line - dimensions: - - name: a dimension per chart or dimension - - name: zscores.3stddev - description: Z Score >3 - unit: "count" - chart_type: stacked - dimensions: - - name: a dimension per chart or dimension + folding: + title: Metrics + enabled: false + description: "" + availability: [] + scopes: + - name: global + description: "These metrics refer to the entire monitored application." + labels: [] + metrics: + - name: zscores.z + description: Z Score + unit: "z" + chart_type: line + dimensions: + - name: a dimension per chart or dimension + - name: zscores.3stddev + description: Z Score >3 + unit: "count" + chart_type: stacked + dimensions: + - name: a dimension per chart or dimension |