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Diffstat (limited to 'conf.d/python.d/smartd_log.conf')
-rw-r--r-- | conf.d/python.d/smartd_log.conf | 90 |
1 files changed, 0 insertions, 90 deletions
diff --git a/conf.d/python.d/smartd_log.conf b/conf.d/python.d/smartd_log.conf deleted file mode 100644 index 3fab3f1c..00000000 --- a/conf.d/python.d/smartd_log.conf +++ /dev/null @@ -1,90 +0,0 @@ -# netdata python.d.plugin configuration for smartd log -# -# 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 - -# ---------------------------------------------------------------------- -# 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 -# -# Additionally to the above, smartd_log also supports the following: -# -# log_path: '/path/to/smartdlogs' # path to smartd log files. Default is /var/log/smartd -# raw_values: yes # enable/disable raw values charts. Enabled by default. -# smart_attributes: '1 2 3 4 44' # smart attributes charts. Default are ['1', '4', '5', '7', '9', '12', '193', '194', '197', '198', '200']. -# exclude_disks: 'PATTERN1 PATTERN2' # space separated patterns. If the pattern is in the drive name, the module will not collect data for it. -# -# ---------------------------------------------------------------------- -# Additional information -# Plugin reads smartd log files (-A option). -# You need to add (man smartd) to /etc/default/smartmontools '-i 600 -A /var/log/smartd/' to pass additional options to smartd on startup -# Then restart smartd service and check /path/log/smartdlogs -# ls /var/log/smartd/ -# CDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv WDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv ZDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv -# -# Smartd APPEND logs at every run. Its NOT RECOMMENDED to set '-i' option below 60 sec. -# STRONGLY RECOMMENDED to create smartd conf file for logrotate -# -# RAW vs NORMALIZED values -# "Normalized value", commonly referred to as just "value". This is a most universal measurement, on the scale from 0 (bad) to some maximum (good) value. -# Maximum values are typically 100, 200 or 253. Rule of thumb is: high values are good, low values are bad. -# -# "Raw value" - the value of the attribute as it is tracked by the device, before any normalization takes place. -# Some raw numbers provide valuable insight when properly interpreted. These cases will be discussed later on. -# Raw values are typically listed in hexadecimal numbers. The raw value has different structure for different vendors and is often not meaningful as a decimal number. -# -# ---------------------------------------------------------------------- |