Glances is a cross-platform monitoring tool which aims to present a large amount of monitoring information through a curses or Web based interface. The information dynamically adapts depending on the size of the user interface.
It can also work in client/server mode. Remote monitoring could be done via terminal, Web interface or API (XML-RPC and RESTful). Stats can also be exported to files or external time/value databases.
Glances is written in Python and uses libraries to grab information from your system. It is based on an open architecture where developers can add new plugins or exports modules.
Requirements
python 2.7,>=3.4psutil>=5.3.0(better with latest version)
bernhard(for the Riemann export module)bottle(for Web server mode)cassandra-driver(for the Cassandra export module)couchdb(for the CouchDB export module)docker(for the Docker monitoring support) [Linux/macOS-only]elasticsearch(for the Elastic Search export module)hddtemp(for HDD temperature monitoring support) [Linux-only]influxdb(for the InfluxDB export module)kafka-python(for the Kafka export module)netifaces(for the IP plugin)nvidia-ml-py3(for the GPU plugin)pika(for the RabbitMQ/ActiveMQ export module)potsdb(for the OpenTSDB export module)prometheus_client(for the Prometheus export module)py-cpuinfo(for the Quicklook CPU info module)pygal(for the graph export module)pymdstat(for RAID support) [Linux-only]pySMART.smartx(for HDD Smart support) [Linux-only]pysnmp(for SNMP support)pystache(for the action script feature)pyzmq(for the ZeroMQ export module)requests(for the Ports, Cloud plugins and RESTful export module)scandir(for the Folders plugin) [Only for Python < 3.5]statsd(for the StatsD export module)wifi(for the wifi plugin) [Linux-only]zeroconf(for the autodiscover mode)
Glances no longer supports Python 2.6. Please upgrade to a minimum Python version of 2.7/3.4+ or downgrade to Glances 2.6.2 (last version with Python 2.6 support).
Note for CentOS Linux 6 and 7 users
Python 2.7 and 3.4 are now available via SCL repositories. See: https://lists.centos.org/pipermail/centos-announce/2015-December/021555.html.
Installation
There are several methods to test/install Glances on your system. Choose your weapon!
Glances Auto Install script: the total way
To install both dependencies and the latest Glances production ready version (aka master branch), just enter the following command line:
curl -L https://bit.ly/glances | /bin/bashwget -O- https://bit.ly/glances | /bin/bashPyPI: The simple way
Glances is on
PyPI. By using PyPI, you will be using the latest stable version.To install, simply use
pip:pip install glancesNote 2 (for the Wifi plugin): If you want to use the Wifi plugin, you need to install the wireless-tools package on your system.
You can also install the following libraries in order to use optional features (like the Web interface, exports modules...):
pip install 'glances[action,browser,cloud,cpuinfo,docker,export,folders,gpu,graph,ip,raid,snmp,web,wifi]'pip install --upgrade glances
pip install --upgrade glances[...]export PYTHONUSERBASE=~/mylocalpath
pip install --user glancesDocker: the funny way
A Glances container is available. It includes the latest development HEAD version. You can use it to monitor your server and all your other containers!
Get the Glances container:
docker pull nicolargo/glancesdocker run --rm -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host --network host -it docker.io/nicolargo/glancesFROM nicolargo/glances
COPY glances.conf /glances/conf/glances.conf
CMD python -m glances -C /glances/conf/glances.conf $GLANCES_OPTdocker run -v `pwd`/glances.conf:/glances/conf/glances.conf -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host -it docker.io/nicolargo/glancesRun the container in Web server mode (notice the GLANCES_OPT environment variable setting parameters for the glances startup command):
docker run -d --restart="always" -p 61208-61209:61208-61209 -e GLANCES_OPT="-w" -v /var/run/docker.sock:/var/run/docker.sock:ro --pid host docker.io/nicolargo/glancesGNU/Linux
Glances is available on many Linux distributions, so you should be able to install it using your favorite package manager. Be aware that when you use this method the operating system package for Glances may not be the latest version.
FreeBSD
To install the binary package:
# pkg install py27-glances# cd /usr/ports/sysutils/py-glances/
# make install cleanmacOS
If you do not want to use the glancesautoinstall script, follow this procedure.
macOS users can install Glances using
Homebrew or MacPorts.Homebrew
$ brew install glancesMacPorts
$ sudo port install glancesWindows
Install Python for Windows (Python 2.7.9+ and 3.4+ ship with pip) and then run the following command:
$ pip install glances$ git clone https://github.com/nicolargo/glances.git
$ cd glances
$ python setup.py installAndroid
You need a rooted device and the Termux application (available on the Google Play Store).
Start Termux on your device and enter:
$ apt update
$ apt upgrade
$ apt install clang python python-dev
$ pip install bottle
$ pip install glances$ glancesSource
To install Glances from source:
$ wget https://github.com/nicolargo/glances/archive/vX.Y.tar.gz -O - | tar xz
$ cd glances-*
# python setup.py installChef
An awesome
Chef cookbook is available to monitor your infrastructure: https://supermarket.chef.io/cookbooks/glances (thanks to Antoine Rouyer)Puppet
You can install Glances using
Puppet: https://github.com/rverchere/puppet-glancesAnsible
A Glances
Ansible role is available: https://galaxy.ansible.com/zaxos/glances-ansible-role/Usage
For the standalone mode, just run:
$ glances$ glances -whttp://<ip>:61208 in your favorite web browser.For the client/server mode, run:
$ glances -s$ glances -c <ip>You can also detect and display all Glances servers available on your network or defined in the configuration file:
$ glances --browser$ glances --stdout cpu.user,mem.used,load
cpu.user: 30.7
mem.used: 3278204928
load: {'cpucore': 4, 'min1': 0.21, 'min5': 0.4, 'min15': 0.27}
cpu.user: 3.4
mem.used: 3275251712
load: {'cpucore': 4, 'min1': 0.19, 'min5': 0.39, 'min15': 0.27}
...$ glances --stdout-csv now,cpu.user,mem.used,load
now,cpu.user,mem.used,load.cpucore,load.min1,load.min5,load.min15
2018-12-08 22:04:20 CEST,7.3,5948149760,4,1.04,0.99,1.04
2018-12-08 22:04:23 CEST,5.4,5949136896,4,1.04,0.99,1.04
...Documentation
For complete documentation have a look at the readthedocs website.
If you have any question (after RTFM!), please post it on the official Q&A forum.
Gateway to other services
Glances can export stats to:
CSV file, JSON file, InfluxDB, Cassandra, CouchDB, OpenTSDB, Prometheus, StatsD, ElasticSearch, RabbitMQ/ActiveMQ, ZeroMQ, Kafka, Riemann and RESTful server.Author
Nicolas Hennion (@nicolargo) <nicolas@nicolargo.com>