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Diffstat (limited to 'src/collectors/python.d.plugin/example/example.conf')
-rw-r--r-- | src/collectors/python.d.plugin/example/example.conf | 87 |
1 files changed, 0 insertions, 87 deletions
diff --git a/src/collectors/python.d.plugin/example/example.conf b/src/collectors/python.d.plugin/example/example.conf deleted file mode 100644 index 31261b84..00000000 --- a/src/collectors/python.d.plugin/example/example.conf +++ /dev/null @@ -1,87 +0,0 @@ -# netdata python.d.plugin configuration for example -# -# This file is in YaML format. Generally the format is: -# -# name: value -# -# There are 2 sections: -# - global variables -# - one or more JOBS -# -# JOBS allow you to collect values from multiple sources. -# Each source will have its own set of charts. -# -# JOB parameters have to be indented (using spaces only, example below). - -# ---------------------------------------------------------------------- -# Global Variables -# These variables set the defaults for all JOBs, however each JOB -# may define its own, overriding the defaults. - -# update_every sets the default data collection frequency. -# If unset, the python.d.plugin default is used. -# update_every: 1 - -# priority controls the order of charts at the netdata dashboard. -# Lower numbers move the charts towards the top of the page. -# If unset, the default for python.d.plugin is used. -# priority: 60000 - -# penalty indicates whether to apply penalty to update_every in case of failures. -# Penalty will increase every 5 failed updates in a row. Maximum penalty is 10 minutes. -# penalty: yes - -# autodetection_retry sets the job re-check interval in seconds. -# The job is not deleted if check fails. -# Attempts to start the job are made once every autodetection_retry. -# This feature is disabled by default. -# autodetection_retry: 0 - -# ---------------------------------------------------------------------- -# JOBS (data collection sources) -# -# The default JOBS share the same *name*. JOBS with the same name -# are mutually exclusive. Only one of them will be allowed running at -# any time. This allows autodetection to try several alternatives and -# pick the one that works. -# -# Any number of jobs is supported. -# -# All python.d.plugin JOBS (for all its modules) support a set of -# predefined parameters. These are: -# -# job_name: -# name: myname # the JOB's name as it will appear on the dashboard -# # dashboard (by default is the job_name) -# # JOBs sharing a name are mutually exclusive -# update_every: 1 # the JOB's data collection frequency -# priority: 60000 # the JOB's order on the dashboard -# penalty: yes # the JOB's penalty -# autodetection_retry: 0 # the JOB's re-check interval in seconds -# -# Additionally to the above, example also supports the following: -# -# num_lines: 4 # the number of lines to create -# lower: 0 # the lower bound of numbers to randomly sample from -# upper: 100 # the upper bound of numbers to randomly sample from -# -# ---------------------------------------------------------------------- -# AUTO-DETECTION JOBS - -four_lines: - name: "Four Lines" # the JOB's name as it will appear on the dashboard - update_every: 1 # the JOB's data collection frequency - priority: 60000 # the JOB's order on the dashboard - penalty: yes # the JOB's penalty - autodetection_retry: 0 # the JOB's re-check interval in seconds - num_lines: 4 # the number of lines to create - lower: 0 # the lower bound of numbers to randomly sample from - upper: 100 # the upper bound of numbers to randomly sample from - -# if you wanted to make another job to run in addition to the one above then -# you would just uncomment the job configuration below. -# two_lines: -# name: "Two Lines" # the JOB's name as it will appear on the dashboard -# num_lines: 2 # the number of lines to create -# lower: 50 # the lower bound of numbers to randomly sample from -# upper: 75 # the upper bound of numbers to randomly sample from |