# netdata python.d.plugin configuration for beanstalk # # 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 # retries sets the number of retries to be made in case of failures. # If unset, the default for python.d.plugin is used. # Attempts to restore the service are made once every update_every # and only if the module has collected values in the past. # retries: 60 # 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 # chart_cleanup sets the default chart cleanup interval in iterations. # A chart is marked as obsolete if it has not been updated # 'chart_cleanup' iterations in a row. # When a plugin sends the obsolete flag, the charts are not deleted # from netdata immediately. # They will be hidden immediately (not offered to dashboard viewer, # streamed upstream and archived to backends) and deleted one hour # later (configurable from netdata.conf). # chart_cleanup: 10 # ---------------------------------------------------------------------- # 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 at the # # 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 # retries: 60 # the JOB's number of restoration attempts # autodetection_retry: 0 # the JOB's re-check interval in seconds # chart_cleanup: 10 # the JOB's chart cleanup interval in iterations # # Additionally to the above, beanstalk also supports the following: # # host: 'host' # Server ip address or hostname. Default: 127.0.0.1 # port: port # Beanstalkd port. Default: # # ----------------------------------------------------------------------