Merging upstream version 1.46.3.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 0 insertions, 195 deletions

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-sidebar_label: "python.d zscores"
-learn_status: "Published"
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-most_popular: False
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-
-# python.d zscores
-
-Plugin: python.d.plugin
-Module: zscores
-
-<img src="https://img.shields.io/badge/maintained%20by-Netdata-%2300ab44" />
-
-## Overview
-
-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.
-
-
-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.
-
-
-This collector is supported on all platforms.
-
-This collector supports collecting metrics from multiple instances of this integration, including remote instances.
-
-
-### Default Behavior
-
-#### Auto-Detection
-
-This integration doesn't support auto-detection.
-
-#### Limits
-
-The default configuration for this integration does not impose any limits on data collection.
-
-#### Performance Impact
-
-The default configuration for this integration is not expected to impose a significant performance impact on the system.
-
-
-## Metrics
-
-Metrics grouped by *scope*.
-
-The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.
-
-
-
-### Per python.d zscores instance
-
-These metrics refer to the entire monitored application.
-
-This scope has no labels.
-
-Metrics:
-
-| Metric | Dimensions | Unit |
-|:------|:----------|:----|
-| zscores.z | a dimension per chart or dimension | z |
-| zscores.3stddev | a dimension per chart or dimension | count |
-
-
-
-## Alerts
-
-There are no alerts configured by default for this integration.
-
-
-## Setup
-
-### Prerequisites
-
-#### Python Requirements
-
-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
-
-The configuration file name for this integration is `python.d/zscores.conf`.
-
-
-You can edit the configuration file using the `edit-config` script from the
-Netdata [config directory](https://github.com/netdata/netdata/blob/master/docs/configure/nodes.md#the-netdata-config-directory).
-
-```bash
-cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata
-sudo ./edit-config python.d/zscores.conf
-```
-#### Options
-
-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.
-
-
-<details><summary>Config options</summary>
-
-| Name | Description | Default | Required |
-|:----|:-----------|:-------|:--------:|
-| charts_regex | what charts to pull data for - A regex like `system\..*/` or `system\..*/apps.cpu/apps.mem` etc. | system\..* | yes |
-| train_secs | length of time (in seconds) to base calculations off for mean and stddev. | 14400 | yes |
-| offset_secs | offset (in seconds) preceding latest data to ignore when calculating mean and stddev. | 300 | yes |
-| train_every_n | recalculate the mean and stddev every n steps of the collector. | 900 | yes |
-| z_smooth_n | smooth the z score (to reduce sensitivity to spikes) by averaging it over last n values. | 15 | yes |
-| z_clip | cap absolute value of zscore (before smoothing) for better stability. | 10 | yes |
-| z_abs | set z_abs: 'true' to make all zscores be absolute values only. | true | yes |
-| burn_in | burn in period in which to initially calculate mean and stddev on every step. | 2 | yes |
-| mode | mode can be to get a zscore 'per_dim' or 'per_chart'. | per_chart | yes |
-| per_chart_agg | per_chart_agg is how you aggregate from dimension to chart when mode='per_chart'. | mean | yes |
-| update_every | Sets the default data collection frequency. | 5 | no |
-| priority | Controls the order of charts at the netdata dashboard. | 60000 | no |
-| autodetection_retry | Sets the job re-check interval in seconds. | 0 | no |
-| penalty | Indicates whether to apply penalty to update_every in case of failures. | yes | no |
-
-</details>
-
-#### Examples
-
-##### Default
-
-Default configuration.
-
-```yaml
-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
-
-### Debug Mode
-
-To troubleshoot issues with the `zscores` collector, run the `python.d.plugin` with the debug option enabled. The output
-should give you clues as to why the collector isn't working.
-
-- Navigate to the `plugins.d` directory, usually at `/usr/libexec/netdata/plugins.d/`. If that's not the case on
-  your system, open `netdata.conf` and look for the `plugins` setting under `[directories]`.
-
-  ```bash
-  cd /usr/libexec/netdata/plugins.d/
-  ```
-
-- Switch to the `netdata` user.
-
-  ```bash
-  sudo -u netdata -s
-  ```
-
-- Run the `python.d.plugin` to debug the collector:
-
-  ```bash
-  ./python.d.plugin zscores debug trace
-  ```
-
-