1 # netdata python.d.plugin configuration for smartd log
3 # This file is in YaML format. Generally the format is:
7 # There are 2 sections:
11 # JOBS allow you to collect values from multiple sources.
12 # Each source will have its own set of charts.
14 # JOB parameters have to be indented (using spaces only, example below).
16 # ----------------------------------------------------------------------
18 # These variables set the defaults for all JOBs, however each JOB
19 # may define its own, overriding the defaults.
21 # update_every sets the default data collection frequency.
22 # If unset, the python.d.plugin default is used.
25 # priority controls the order of charts at the netdata dashboard.
26 # Lower numbers move the charts towards the top of the page.
27 # If unset, the default for python.d.plugin is used.
30 # retries sets the number of retries to be made in case of failures.
31 # If unset, the default for python.d.plugin is used.
32 # Attempts to restore the service are made once every update_every
33 # and only if the module has collected values in the past.
36 # ----------------------------------------------------------------------
37 # JOBS (data collection sources)
39 # The default JOBS share the same *name*. JOBS with the same name
40 # are mutually exclusive. Only one of them will be allowed running at
41 # any time. This allows autodetection to try several alternatives and
42 # pick the one that works.
44 # Any number of jobs is supported.
46 # All python.d.plugin JOBS (for all its modules) support a set of
47 # predefined parameters. These are:
50 # name: myname # the JOB's name as it will appear at the
51 # # dashboard (by default is the job_name)
52 # # JOBs sharing a name are mutually exclusive
53 # update_every: 1 # the JOB's data collection frequency
54 # priority: 60000 # the JOB's order on the dashboard
55 # retries: 5 # the JOB's number of restoration attempts
57 # Additionally to the above, smartd_log also supports the following:
59 # log_path: '/path/to/smartdlogs' # path to smartd log files. Default is /var/log/smartd
60 # raw_values: no # raw or normalized values on charts. Default is normalized.
61 # smart_attributes: '1 2 3 4 44' # add additional smart attributes charts. Default are ['1', '4', '5', '7', '9', '12', '193', '194', '197', '198', '200'].
63 # ----------------------------------------------------------------------
64 # Additional information
65 # Plugin reads smartd log files (-A option).
66 # You need to add (man smartd) to /etc/default/smartmontools '-i 600 -A /var/log/smartd/' to pass additional options to smartd on startup
67 # Then restart smartd service and check /path/log/smartdlogs
69 # CDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv WDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv ZDC_WD10EZEX_00BN5A0-WD_WCC3F7FLVZS9.ata.csv
71 # Smartd APPEND logs at every run. Its NOT RECOMMENDED to set '-i' option below 60 sec.
72 # STRONGLY RECOMMENDED to create smartd conf file for logrotate
74 # RAW vs NORMALIZED values
75 # "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.
76 # Maximum values are typically 100, 200 or 253. Rule of thumb is: high values are good, low values are bad.
78 # "Raw value" - the value of the attribute as it is tracked by the device, before any normalization takes place.
79 # Some raw numbers provide valuable insight when properly interpreted. These cases will be discussed later on.
80 # 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.
85 log_path: '/var/log/smartd'