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NAMEglances - An eye on your system SYNOPSISglances [OPTIONS] DESCRIPTIONglances is a cross-platform curses-based monitoring tool which aims to present a maximum of information in a minimum of space, ideally to fit in a classical 80x24 terminal or higher to have additional information. It can adapt dynamically the displayed information depending on the terminal size. It can also work in client/server mode. Remote monitoring could be done via terminal or web interface. glances is written in Python and uses the psutil library to get information from your system. OPTIONSCOMMAND-LINE OPTIONS
INTERACTIVE COMMANDSThe following commands (key pressed) are supported while in Glances:
On macOS please use CTRL-H to delete filter.
Filter is a regular expression pattern:
In the Glances client browser (accessible through the --browser command line argument): CONFIGURATIONNo configuration file is mandatory to use Glances. Furthermore a configuration file is needed to access more settings. LOCATIONNOTE: A template is available in the
/usr{,/local}/share/doc/glances (Unix-like) directory or directly on
GitHub.
You can put your own glances.conf file in the following locations:
User-specific options override system-wide options and options given on the command line override either. SYNTAXGlances reads configuration files in the ini syntax. A first section (called global) is available: [global] # Refresh rate (default is a minimum of 2 seconds) # Can be overwrite by the -t <sec> option # It is also possible to overwrite it in each plugin sections refresh=2 # Does Glances should check if a newer version is available on PyPI ? check_update=false # History size (maximum number of values) # Default is 28800: 1 day with 1 point every 3 seconds history_size=28800 Each plugin, export module and application monitoring process (AMP) can have a section. Below an example for the CPU plugin: [cpu] disable=False refresh=3 user_careful=50 user_warning=70 user_critical=90 iowait_careful=50 iowait_warning=70 iowait_critical=90 system_careful=50 system_warning=70 system_critical=90 steal_careful=50 steal_warning=70 steal_critical=90 an InfluxDB export module: [influxdb] # Configuration for the --export influxdb option # https://influxdb.com/ host=localhost port=8086 user=root password=root db=glances prefix=localhost #tags=foo:bar,spam:eggs or a Nginx AMP: [amp_nginx] # Nginx status page should be enable (https://easyengine.io/tutorials/nginx/status-page/) enable=true regex=\/usr\/sbin\/nginx refresh=60 one_line=false status_url=http://localhost/nginx_status With Glances 3.0 or higher it is also possible to use dynamic configuration value using system command. For example, if you to set the prefix of an InfluxDB export to the current hostname, use: [influxdb] ... prefix=`hostname` Or if you want to add the Operating System name as a tag: [influxdb] ... tags=system:`uname -a` LOGGINGGlances logs all of its internal messages to a log file. DEBUG messages can been logged using the -d option on the command line. The location of the Glances depends of your operating system. You could displayed the Glances log file full path using the``glances -V`` command line. The file is automatically rotate when the size is higher than 1 MB. If you want to use another system path or change the log message, you can use your own logger configuration. First of all, you have to create a glances.json file with, for example, the following content (JSON format): { and start Glances using the following command line: LOG_CFG=<path>/glances.json glances NOTE: Replace <path> by the folder where your
glances.json file is hosted.
EXAMPLESMonitor local machine (standalone mode): $ glances
Monitor local machine with the web interface (Web UI), run the following command line: $ glances -w
and open a Web browser with the returned URL Monitor local machine and export stats to a CSV file: $ glances –export csv –export-csv-file
/tmp/glances.csv
Monitor local machine and export stats to a InfluxDB server with 5s refresh time (also possible to export to OpenTSDB, Cassandra, Statsd, ElasticSearch, RabbitMQ and Riemann): $ glances -t 5 –export influxdb
It is also possible to export stats to multiple endpoints: $ glances -t 5 –export influxdb,statsd,csv
Start a Glances server (server mode): $ glances -s
Connect Glances to a Glances server (client mode): $ glances -c <ip_server>
Connect to a Glances server and export stats to a StatsD server: $ glances -c <ip_server> –export
statsd
Start the client browser (browser mode): $ glances –browser
AUTHORNicolas Hennion aka Nicolargo <contact@nicolargo.com> COPYRIGHT2023, Nicolas Hennion
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