S.M.A.R.T.
S.M.A.R.T.
Plugin: python.d.plugin Module: smartd_log
Overview
This collector monitors HDD/SSD S.M.A.R.T. metrics about drive health and performance.
It reads smartd log files to collect the metrics.
This collector is supported on all platforms.
This collector only supports collecting metrics from a single instance of this integration.
Default Behavior
Auto-Detection
Upon satisfying the prerequisites, the collector will auto-detect metrics if written in either /var/log/smartd/ or /var/lib/smartmontools/.
Limits
The default configuration for this integration does not impose any limits on data collection.
Performance Impact
The default configuration for this integration is not expected to impose a significant performance impact on the system.
Setup
Prerequisites
Configure smartd to write attribute information to files.
smartd must be running with -A option to write smartd attribute information to files.
For this you need to set smartd_opts (or SMARTD_ARGS, check smartd.service content) in /etc/default/smartmontools:
# dump smartd attrs info every 600 seconds
smartd_opts="-A /var/log/smartd/ -i 600"
You may need to create the smartd directory before smartd will write to it:
mkdir -p /var/log/smartd
Otherwise, all the smartd .csv files may get written to /var/lib/smartmontools (default location). See also https://linux.die.net/man/8/smartd for more info on the -A --attributelog=PREFIX command.
smartd appends logs at every run. It’s strongly recommended to use logrotate for smartd files.
Configuration
File
The configuration file name for this integration is python.d/smartd_log.conf.
You can edit the configuration file using the edit-config script from the
Netdata config directory.
cd /etc/netdata 2>/dev/null || cd /opt/netdata/etc/netdata
sudo ./edit-config python.d/smartd_log.conf
Options
This particular collector does not need further configuration to work if permissions are satisfied, but you can always customize it’s data collection behavior.
There are 2 sections:
- Global variables
- One or more JOBS that can define multiple different instances to monitor.
The following options can be defined globally: priority, penalty, autodetection_retry, update_every, but can also be defined per JOB to override the global values.
Additionally, the following collapsed table contains all the options that can be configured inside a JOB definition.
Every configuration JOB starts with a job_name value which will appear in the dashboard, unless a name parameter is specified.
| Name | Description | Default | Required |
|---|---|---|---|
| log_path | path to smartd log files. | /var/log/smartd | True |
| exclude_disks | Space-separated patterns. If the pattern is in the drive name, the module will not collect data for it. | False | |
| age | Time in minutes since the last dump to file. | 30 | False |
| update_every | Sets the default data collection frequency. | 1 | 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 |
| name | Job name. This value will overwrite the job_name value. 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. |
False |
Examples
Basic
A basic configuration example.
custom:
name: smartd_log
log_path: '/var/log/smartd/'
Metrics
Metrics grouped by scope.
The scope defines the instance that the metric belongs to. An instance is uniquely identified by a set of labels.
The metrics listed below are split in terms of availability on device type, SCSI or ATA.
Per S.M.A.R.T. instance
These metrics refer to the entire monitored application.
This scope has no labels.
Metrics:
| Metric | Dimensions | Unit | SCSI | ATA |
|---|---|---|---|---|
| smartd_log.read_error_rate | a dimension per device | value | • | |
| smartd_log.seek_error_rate | a dimension per device | value | • | |
| smartd_log.soft_read_error_rate | a dimension per device | errors | • | |
| smartd_log.write_error_rate | a dimension per device | value | • | |
| smartd_log.read_total_err_corrected | a dimension per device | errors | • | |
| smartd_log.read_total_unc_errors | a dimension per device | errors | • | |
| smartd_log.write_total_err_corrected | a dimension per device | errors | • | |
| smartd_log.write_total_unc_errors | a dimension per device | errors | • | |
| smartd_log.verify_total_err_corrected | a dimension per device | errors | • | |
| smartd_log.verify_total_unc_errors | a dimension per device | errors | • | |
| smartd_log.sata_interface_downshift | a dimension per device | events | • | |
| smartd_log.udma_crc_error_count | a dimension per device | errors | • | |
| smartd_log.throughput_performance | a dimension per device | value | • | |
| smartd_log.seek_time_performance | a dimension per device | value | • | |
| smartd_log.start_stop_count | a dimension per device | events | • | |
| smartd_log.power_on_hours_count | a dimension per device | hours | • | |
| smartd_log.power_cycle_count | a dimension per device | events | • | |
| smartd_log.unexpected_power_loss | a dimension per device | events | • | |
| smartd_log.spin_up_time | a dimension per device | ms | • | |
| smartd_log.spin_up_retries | a dimension per device | retries | • | |
| smartd_log.calibration_retries | a dimension per device | retries | • | |
| smartd_log.airflow_temperature_celsius | a dimension per device | celsius | • | |
| smartd_log.temperature_celsius | a dimension per device | celsius | • | • |
| smartd_log.reallocated_sectors_count | a dimension per device | sectors | • | |
| smartd_log.reserved_block_count | a dimension per device | percentage | • | |
| smartd_log.program_fail_count | a dimension per device | errors | • | |
| smartd_log.erase_fail_count | a dimension per device | failures | • | |
| smartd_log.wear_leveller_worst_case_erase_count | a dimension per device | erases | • | |
| smartd_log.unused_reserved_nand_blocks | a dimension per device | blocks | • | |
| smartd_log.reallocation_event_count | a dimension per device | events | • | |
| smartd_log.current_pending_sector_count | a dimension per device | sectors | • | |
| smartd_log.offline_uncorrectable_sector_count | a dimension per device | sectors | • | |
| smartd_log.percent_lifetime_used | a dimension per device | percentage | • | |
| smartd_log.media_wearout_indicator | a dimension per device | percentage | • | |
| smartd_log.nand_writes_1gib | a dimension per device | GiB | • |
Alerts
There are no alerts configured by default for this integration.
Troubleshooting
Debug Mode
To troubleshoot issues with the smartd_log collector, run the python.d.plugin with the debug option enabled. The output
should give you clues as to why the collector isn’t working.
-
Navigate to the
plugins.ddirectory, usually at/usr/libexec/netdata/plugins.d/. If that’s not the case on your system, opennetdata.confand look for thepluginssetting under[directories].cd /usr/libexec/netdata/plugins.d/ -
Switch to the
netdatauser.sudo -u netdata -s -
Run the
python.d.pluginto debug the collector:./python.d.plugin smartd_log debug trace