What system monitoring tools are available?
I am looking for system monitoring tools which are GUI and CLI or web-based which include basic functions such as:
- CPU Usage
- Ram Usage
- Swap Usage
- Disk Usage ( Space / I/O )
- Heat Monitoring
I know there are many tools I can use, but I am looking for a single tool that has these basic functions.
Glances - An eye on your system
Glances is a free software (licensed under LGPL) to monitor your GNU/Linux or BSD operating system from a text interface. Glances uses the library libstatgrab to retrieve information from your system and it is developed in Python.
Installation
Open a terminal (Ctrl+Alt+T) and run following commands:
From Ubuntu 16.04 and above you can just type
sudo apt install glances
, but version 2.3 have this bug. Else:Easy Script Installation Glances
curl -L https://raw.githubusercontent.com/nicolargo/glancesautoinstall/master/install.sh | sudo /bin/bash
OR
wget -O- https://raw.githubusercontent.com/nicolargo/glancesautoinstall/master/install.sh | sudo /bin/bash
Manual Installation
sudo apt-get install python-pip build-essential python-dev lm-sensors sudo pip install psutil logutils bottle batinfo https://bitbucket.org/gleb_zhulik/py3sensors/get/tip.tar.gz zeroconf netifaces pymdstat influxdb elasticsearch potsdb statsd pystache docker-py pysnmp pika py-cpuinfo bernhard sudo pip install glances
Basic usage
To start
glances
simply typeglances
in terminal.In glances you’ll see a lot of information about the resources of your system: CPU, Load, Memory, Swap Network, Disk I/O and Processes all in one page, by default the color code means:
GREEN : the statistic is “OK” BLUE : the statistic is “CAREFUL” (to watch) VIOLET : the statistic is “WARNING” (alert) RED : the statistic is “CRITICAL” (critical)
When Glances is running, you can press some special keys to give commands to it:
c: Sort processes by CPU% m: Sort processes by MEM% p: Sort processes by name i: Sort processes by IO Rate d: Show/hide disk I/O stats f: Show/hide file system stats n: Show/hide network stats s: Show/hide sensors stats b: Bit/s or Byte/s for network IO w: Delete warning logs x: Delete warning and critical logs 1: Global CPU or Per Core stats h: Show/hide this help message q: Quit (Esc and Ctrl-C also work) l: Show/hide log messages
Cpu , Ram , Swap Monitoring
Disk Monitoring
System Heat Monitoring
If you type
glances --help
you will find (-e
Enable the sensors module (Linux-only) )glances -e
Configuration file
You can set your thresholds in Glances configuration file, on GNU/Linux, the default configuration file is located in
/etc/glances/glances.conf
.Client/server mode
Another interesting feature of this monitoring tool is that you can start it in server mode just typing
glances -s
, this will give an output like Glances server is running on 0.0.0.0:61209 and now you can connect to it from another computer using glances -c @server where @server is the IP address or hostname of the server.Glances uses a XML/RPC server and can be used by another client software. In server mode, you can set the bind address (-B ADDRESS) and listening TCP port (-p PORT), the default binding address is 0.0.0.0 (Glances will listen on all the networks interfaces) and TCP port is 61209. In client mode, you can set the TCP port of the server (-p port). In client/server mode, limits are set by the server side. The version 1.6 introduces a optional password to access to the server (-P password) that if set on the server must be used also on the client.
Additional Sources: PyPI, Github, Linuxaria
Update
Monitoring juju container just for example how things look like Large Image
In terminal no 1 Glances is running in server mode, In terminal no 2 juju container is running
apt-get update
& In terminal 3glances -c 192.168.1.103
Glances is connected to container ipGlances CPU Usage
Glances itself seems to require period spikes of cpu usage while being active, as evidenced by the built in system monitor usage graph. If the graph is accurate - then by using glances one gives up about 1/4 of a CPU on a system. This my have en effect for those who are monitoring CPU loads on servers.
:) , Yes it is @B4NZ41
Is it worth installing python just to have better statistics, especially on tiny servers? (e.g. amazon micro istances with <750MB ram)
@Razor Well i dont think so , its just for deskstop ( to monitor one pc )
Awesome tool. There's a package in Debian 8.0 Jessie (and probably in Ubuntu already).
best tool I've seen....
I strongly recommend against the 'easy' installation method suggested here! Piping data from the Internet to a privileged BASH interpreter is a very insecure. If someone misconfigured the DNS, or hacked bit.ly, you could be installing anything to your system and you might never know.
I **don't recommend** the "Easy Script Installation", install only using packages.
To uninstall just `sudo pip uninstall glances`.
indicator-SysMonitor
Indicator-SysMonitor does a little, but does it well. Once installed and run, it displays CPU and RAM usage on your top panel. Simple.
Download from here
Conky
One of my personal favourites
Screenlet you’ll find a bunch of differently styled CPU and RAM monitors included in the screenlets-all package available in the Ubuntu Software Center.
Glances
To install:
sudo apt-get install python-pip build-essential python-dev sudo pip install Glances sudo pip install PySensors
VMSTAT
Displays information about CPU, memory, processes, etc.
IOSTAT
This command line tool will display statistics about your CPU, I/O information for your hard disk partitions, Network File System (NFS), etc. To install iostat, run this command:
sudo apt-get install sysstat
To start the report, run this command:
iostat
To check only CPU statistics, use this command:
iostat -c
For more parameters, use this command:
iostat --help
MPSTAT
The mpstat command line utility will display average CPU usage per processor. To run it, use simply this command:
mpstat
For CPU usage per processor, use this command:
mpstat -P ALL
Saidar
Saidar also allows to monitor system device activities via the command line.
You can install is with this command:
sudo apt-get install saidar
To start monitoring, run this command:
saidar -c -d 1
Stats will be refreshed every second.
GKrellM
GKrellM is a customizable widget with various themes that displays on your desktop system device information (CPU, temperature, memory, network, etc.).
To install GKrellM, run this command:
sudo apt-get install gkrellm
Monitorix
Monitorix is another application with a web-based user interface for monitoring system devices.
Install it with these commands:
sudo add-apt-repository ppa:upubuntu-com/ppa sudo apt-get update sudo apt-get install monitorix
Start Monitorix via this URL:
http://localhost/monitorix/
Glances are good. What it shows me is sometimes some critical logs. WHere to find whats the problem? Where are thouse logs? WARNING|CRITICAL logs (lasts 9 entries) 2016-03-23 19:09:48 > 2016-03-23 19:09:54 CPU user (72.7/76.6/80.6) 2016-03-23 19:09:28 > 2016-03-23 19:09:32 CPU IOwait (62.5/62.5/62.5) 2016-03-23 19:08:45 > 2016-03-23 19:08:48 CPU user (86.3/86.3/86.3) ~ 2016-03-23 19:08:16 > ___________________ LOAD 5-min (1.0/1.1/1.2) - Top process: php5-cgi 2016-03-23 19:08:09 > 2016-03-23 19:08:19 CPU IOwait (74.3/74.6/75.0)
@Thuener It's better for you just to read and search before such nonsense comment and yes it's ppa::upubuntu-com/ppa... refer to this link https://launchpad.net/~upubuntu-com/+archive/ubuntu/ppa and i think better for you to remove the downvote :)
I have been using GKrellM and really like it, especially the temperatures sensor display. I wish they were graphical, however it lets me know how my laptop is doing as it has a over heating problem.
Following are the tools for monitoring a linux system
- System commands like
top
,free -m
,vmstat
,iostat
,iotop
,sar
,netstat
etc. Nothing comes near these linux utility when you are debugging a problem. These command give you a clear picture that is going inside your server - SeaLion: Agent executes all the commands mentioned in #1 (also user defined) and outputs of these commands can be accessed in a beautiful web interface. This tool comes handy when you are debugging across hundreds of servers as installation is clear simple. And its FREE
- Nagios: It is the mother of all monitoring/alerting tools. It is very much customization but very much difficult to setup for beginners. There are sets of tools called nagios plugins that covers pretty much all important Linux metrics
- Munin
- Server density: A cloudbased paid service that collects important Linux metrics and gives users ability to write own plugins.
- New Relic: Another well know hosted monitoring service.
- Zabbix
- System commands like
nice one : System Load Indicator
top
top is monitoring Software, listing all the processes with CPU/RAM usage, Overall CPU/RAM usage and more Also it's mostly installed by default
htop
htop is like an extended version of top. It has all the features from above, but you can see child processes and customize the display of everything. It also has colors.
iotop
iotop is specifically for Monitoring Hard rive I/O It lists all processes and shows their Hard drive usage for read and write.
where is heat monitoring ? and in your answer you have already included 3 utilities ... check the question **i am looking for a single tool that has some basic function **
With the three tools I am just giving different options for the OP, but I am dissapointed to say that none of those have heat monitoring
at least you have tried to answer the question ... thank you
google ( Saidar ubuntu )
You might want to try sysmon. Although not as fancy as Glances, it is very straightforward and easy to use.
If you want to get dirty and do a little scripting in python, here are some basics of system monitoring with Python to get you started.
You'll need an external module called
psutil
to monitor most things. It's easiest to use an external module installer instead of building from source.Note: These examples are written in Python 2.7
sudo apt-get install pip sudo pip install psutil
Now that we have the modules installed, we can start coding.
First, create a file called
usage.py
.gedit ~/usage.py
Start by importing
psutil
import psutil
Then, create a function to monitor the percentage your CPU cores are running at.
def cpu_perc(): cpu_perc = psutil.cpu_percent(interval=1, percpu=True) for i in range(len(cpu_perc)): print "CPU Core", str(i+1),":", str(cpu_perc[i]), "%"
Let's break that down a bit, shall we?
The first line,
cpu_num = psutil.cpu_percent(interval=1, percpu=True)
, finds the percentage that the cores in your CPU are running at and assigns it to a list calledcpu_perc
.This loop right here
for i in range(len(cpu_num)): print "CPU Core", str(i+1),":", str(cpu_perc[i]), "%"
is a for loop that prints out the current percentage of each of your CPU cores.
Let's add the RAM usage.
Create a function called
ram_perc
.def ram_perc(): mem = psutil.virtual_memory() mem_perc = mem.percent print "RAM: ", mem_perc, "%"
psutil.virtual_memory
gives a data set containing different facts about the RAM in your computer.Next, you can add some facts about your network.
def net(): net = psutil.net_io_counters() mbytes_sent = float(net.bytes_sent) / 1048576 mbytes_recv = float(net.bytes_recv) / 1048576 print "MB sent: ", mbytes_sent print "MB received: ", mbytes_recv
Since
psutil.net_io_counters()
only gives us information about packets sent and received in bytes, some converting was necessary.To get some information about swap space, add this function.
def swap_perc(): swap = psutil.swap_memory() swap_perc = swap.percent
This one is pretty straightforward.
Temperature is kind of hard to do, so you may need to do some research of your own to figure out what will work with your hardware. You will have to display the contents of a certain file.
Disk usage is a lot easier than temperature. All you need to do is to pass the disk you want to monitor (i.e:
/
) through a certain function.def disks(): if len(sys.argv) > 1: for disk in range(1, len(sys.argv)): tmp = psutil.disk_usage(sys.argv[disk]) print sys.argv[disk], "\n" print "Megabytes total: ", print str(float(tmp.total) / 1048576) print "Megabytes used: ", print str(float(tmp.used) / 1048576) print "Megabytes free: ", print str(float(tmp.free) / 1048576) print "Percentage used: ", print tmp.percent, "\n"
The original output of
psutil.disk_usage
is this,>>>psutil.disk_usage('/') sdiskusage(total=21378641920, used=4809781248, free=15482871808, percent=22.5)
but you can also just receive
total
,used
,free
, orpercent
.The completed program: (the aforementioned functions were combined)
import psutil, os, sys mem_perc = 0 #init var swap_perc = 0 #init var mbytes_sent = 0 #init var mbytes_recv = 0 #init var cpu_perc = 0 #init var swap = 0 #init var mem = 0 #init var net = 0 #init var def disp(degree): global cpu_perc global swap global swap_perc global mem global mem_perc global net global mbytes_sent global mbytes_recv cpu_perc = psutil.cpu_percent(interval=1, percpu=True) swap = psutil.swap_memory() swap_perc = swap.percent mem = psutil.virtual_memory() mem_perc = mem.percent net = psutil.net_io_counters() mbytes_sent = float(net.bytes_sent) / 1048576 mbytes_recv = float(net.bytes_recv) / 1048576 os.system('clear') #clear the screen print "-"*30 print "CPU" print "-"*30 print "CPU Temperature: " , degree, "'C" for i in range(len(cpu_perc)): print "CPU Core", str(i+1),":", str(cpu_perc[i]), "%" print "-"*30 print "MEMORY" print "-"*30 print "RAM: ", mem_perc, "%" print "Swap: ", swap_perc, "%" print "-"*30 print "NETWORK" print "-"*30 print "MB sent: ", mbytes_sent print "MB received: ", mbytes_recv print "-"*30 print "DISKS" print "-"*30 if len(sys.argv) > 1: for disk in range(1, len(sys.argv)): tmp = psutil.disk_usage(sys.argv[disk]) print sys.argv[disk], "\n" print "Megabytes total: ", print str(float(tmp.total) / 1048576) print "Megabytes used: ", print str(float(tmp.used) / 1048576) print "Megabytes free: ", print str(float(tmp.free) / 1048576) print "Percentage used: ", print tmp.percent, "\n" def main(): print("Press Ctrl+C to exit") while True: temp = open("/sys/class/thermal/thermal_zone0/temp").read().strip().lstrip('temperature :').rstrip(' C') temp = float(temp) / 1000 disp(temp) main()
The line
temp = open("/sys/class/thermal/thermal_zone0/temp").read().strip().lstrip('temperature :').rstrip(' C')
might not work with your hardware configuration.Run this program from the command line. Pass the disks you want to monitor as arguments from the command line.
$ python usage.py / Press Ctrl+C to exit ------------------------------ CPU ------------------------------ CPU Temperature: 39.0 'C CPU Core 1 : 4.8 % CPU Core 2 : 1.0 % CPU Core 3 : 0.0 % CPU Core 4 : 4.9 % ------------------------------ MEMORY ------------------------------ RAM: 33.6 % Swap: 6.4 % ------------------------------ NETWORK ------------------------------ MB sent: 2.93382358551 MB received: 17.2131490707 ------------------------------ DISKS ------------------------------ / Megabytes total: 13952.484375 Megabytes used: 8542.6640625 Megabytes free: 4678.5703125 Percentage used: 61.2 /media/calvin/Data Megabytes total: 326810.996094 Megabytes used: 57536.953125 Megabytes free: 269274.042969 Percentage used: 17.6
Hope this helps! Comment if you have any questions.
While this link may answer the question, it is better to include the essential parts of the answer here and provide the link for reference. Link-only answers can become invalid if the linked page changes.
@Ron - Okay, I'll add an edit to my post and show the basic scripting parts of sysmon in a couple of days. Thanks for the advice!
Check out http://meta.askubuntu.com/questions/13900/how-do-i-format-some-code-specifically-for-the-language-used-or-how-do-i-preven. What did you try, exactly?
@muru - Nevermind, now it is working. Thanks for the link!
@muru - But, to answer your question, I started the code block with three backticks followed by the language I wanted the syntax to be highlighted in, and ended with three backticks.
@calthecoder the three-backticks method is not supported by SE's Markdown (yet).
@muru - Okay. Is GitHub the only place that supports it? It is in their Documentation section.
Other places do too, but SE doesn't. See http://askubuntu.com/editing-help#code for what's supported.
Package systat has a tool called
sar
that does all you want. It can also gather historical data so you can see what happened some time ago.SeaLion can be handy tool as it has built-in commands to monitor your server performance as well as you can add your own custom commands, scirpts and log output. It's very easy to setup and find out what went wrong at specific time.
The
free
command is the most simple and easy to use command to check memory usage on linux/ubuntu.free -m
To check memory usage is to read the
/proc/meminfo
file.cat /proc/meminfo
The
vmstat
command with thes
option.vmstat -s
The
top
command is generally used to check memory and cpu usage per process.top
The htop command also shows memory usage along with various other details.
htop
To find out hardware information about the installed RAM.
sudo dmidecode -t 17
I love htop! Simple and good enough.
I like to use
conky
which can be configured anyway you like:You can google
conky
and find 787,000 hits. There is something for everyone.At the top of the display notice "Lock screen: 4 Minutes Brightness: 2074". These are generated by "Indicator-Sysmonitor" which allows you to display on the systray / application indicator using a bash script.
For a tutorial on setting up "Indicator-Sysmonitor" see: Can BASH display in systray as application indicator?
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Content dated before 6/26/2020 9:53 AM
Qasim 7 years ago
:) , Yes it is @B4NZ41