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Diffstat (limited to 'collectors/python.d.plugin/zscores/integrations/python.d_zscores.md')
| -rw-r--r-- | collectors/python.d.plugin/zscores/integrations/python.d_zscores.md | 29 |
1 files changed, 15 insertions, 14 deletions
diff --git a/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md b/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md index 1ebe865f0..9d7d1c3d5 100644 --- a/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md +++ b/collectors/python.d.plugin/zscores/integrations/python.d_zscores.md @@ -4,6 +4,7 @@ meta_yaml: "https://github.com/netdata/netdata/edit/master/collectors/python.d.p sidebar_label: "python.d zscores" learn_status: "Published" learn_rel_path: "Data Collection/Other" +most_popular: False message: "DO NOT EDIT THIS FILE DIRECTLY, IT IS GENERATED BY THE COLLECTOR'S metadata.yaml FILE" endmeta--> @@ -123,20 +124,20 @@ Every configuration JOB starts with a `job_name` value which will appear in the | Name | Description | Default | Required | |:----|:-----------|:-------|:--------:| -| charts_regex | what charts to pull data for - A regex like `system\..*/` or `system\..*/apps.cpu/apps.mem` etc. | system\..* | True | -| train_secs | length of time (in seconds) to base calculations off for mean and stddev. | 14400 | True | -| offset_secs | offset (in seconds) preceding latest data to ignore when calculating mean and stddev. | 300 | True | -| train_every_n | recalculate the mean and stddev every n steps of the collector. | 900 | True | -| z_smooth_n | smooth the z score (to reduce sensitivity to spikes) by averaging it over last n values. | 15 | True | -| z_clip | cap absolute value of zscore (before smoothing) for better stability. | 10 | True | -| z_abs | set z_abs: 'true' to make all zscores be absolute values only. | true | True | -| burn_in | burn in period in which to initially calculate mean and stddev on every step. | 2 | True | -| mode | mode can be to get a zscore 'per_dim' or 'per_chart'. | per_chart | True | -| per_chart_agg | per_chart_agg is how you aggregate from dimension to chart when mode='per_chart'. | mean | True | -| update_every | Sets the default data collection frequency. | 5 | False | -| priority | Controls the order of charts at the netdata dashboard. | 60000 | False | -| autodetection_retry | Sets the job re-check interval in seconds. | 0 | False | -| penalty | Indicates whether to apply penalty to update_every in case of failures. | yes | False | +| 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> |