It is possible to profile the rendering process of Multisite pages. This is done using the Python module cProfile. For viewing the profiling data, we use snakeviz.
SnakeViz is a viewer for Python profiling data that runs as a web application in your browser. It is inspired by the wxPython profile viewer RunSnakeRun.
LAST TESTED ON CHECKMK 2.2.0P1
Step-by-step guide
GUI Profiling
Don't use 'Enable profiling for all requests'. This option will profile a Multisite request randomly, and most of the time, it will be the slowest one.
.
Enable profiling in Checkmk
- Setup → General → Global Settings → User Interface → Profile Request
. Modify the URL to profile by adding '&_profile=1' and fire the request in your browser
http://localhost/nagnis_master/check_mk/view.py?view_name=allhosts&_profile=
Now two files are created in ~/var/check_mk/
root@mylinuxhost:/opt/omd/sites/mysite/var/check_mk# ll |grep multisite -rw-rw---- 1 mysite mysite 100246 Nov 6 13:35 multisite.profile -rwxr-xr-x 1 mysite mysite 155 Nov 6 13:35 multisite.py*
.
By executing 'multisite.py', you can get runtime statistics about the last processed page.
root@mylinuxhost:/opt/omd/sites/mysite/var/check_mk# ./multisite.py |more Fri Nov 6 13:35:33 2020 /omd/sites/nagnis_master/var/check_mk/multisite.profile 9585 function calls (9480 primitive calls) in 0.007 seconds Ordered by: internal time ncalls tottime percall cumtime percall filename:lineno(function) 1 0.001 0.001 0.002 0.002 /omd/sites/mysite/lib/python/cmk/gui/modules.py:140(_cmk_gui_top_level_modules) 4652 0.000 0.000 0.000 0.000 {method 'startswith' of 'str' objects} ... ...
.
For viewing multisite. Profile with snakeviz, move the file to another directory (e.g., /tmp), and change the owner to the owner of your Internet Browser.
linuxuser@mylinuxhost:/omd/sites/mysite/var/check_mk$ sudo cp multisite.profile /tmp/ linuxuser@mylinuxhost:/tmp$ sudo chown linuxuser:linuxuser multisite.profile
.
Install the Python module (for Python 2 or Python 3, respectively)
root@mylinuxhost:~# pip install snakeviz root@mylinuxhost:~# pip3 install snakeviz
.
Now you can use snakeviz to view the profiling file.
linuxuser@mylinuxhost:/tmp$ snakeviz multisite.profile
.
Now you can analyze at which point of the request your view needs the most time!
Profiling via cli
The cmk commands have the option to profile them.
OMD[mysite]:~$ cmk |grep profile --profile Enable profiling mode
The profile file will be created in the current directory. Let's go to tmp and run the cmk command with the profile option.
➜ ~ su - at OMD[mysite]:~$ cd tmp OMD[mysite]:~$ cmk -Afv --profile
cmk -Afv --profile is only one example. This command will trigger the agent baking via the CLI. You may need to profile a different command.
Now we will see two files:
OMD[mysite]:~/tmp$ ls |grep profile profile.out* show_profile.py*
To work with these files, we need to copy them outside the site.
OMD[mysite]:~/tmp$ cp show_profile.py profile.out /tmp/
- Now there are two ways to analyze these files:
Open the profile file via the command line:
➜ /tmp ./show_profile.py
- Analyze via snakevize as described here: Checkmk profiling
Profile a Checkmk function
Please note that we do not support any changes to our code. If you do this, please keep a backup of the file!
There is an option to profile a function inside Checkmk. This can be either your own code, e.g., a plugin or a checkmk-specific code:
from cmk.utils.profile import profile_call ..... @profile_call("/tmp/myprofile_dir") def my_func_to_profile(self): print("ding dong")
Analyze a profiling file with python3 but generated on python2
If you're running Checkmk <1.6 and >2.0 on your system, you will also have python2 and python3 installed.
If you generate a profile on Checkmk 1.6 (pyhon2), you won't be able to open this file if python3 is your default python on your system.
There is a simple to achieve this anyway:
The solution is: Python virtualenv inspired by: https://computingforgeeks.com/how-to-install-python2-with-virtualenv-on-ubuntu/
Here is my short step-by-step guide:
# Install virtualenv sudo apt install virtualenv # Create a directory for virtualenv mkdir ~/.virtualenvs # Change to this directory and create a virtualenv with the python interpreter you want (we will use python2) cd ~/.virtualenvs virtualenv --python=python2 env # Confirm that the right python version is installed ls env/lib # Activate the new virtualenvironment source env/bin/activate # Now you can install all kind of modules inside this python2 context pip install snakeviz
In this env, you can analyze all profile files generated with python2!
Network Analyze with the Internet browser
Start the Network Monitor
Ctrl + Shift + Ior
For Firefox, follow this manual: https://developer.mozilla.org/en-US/docs/Tools/Network_Monitor
For Google Chrome, follow this manual: https://developer.chrome.com/docs/devtools/network/- Reload the slow/ crashing view again and save/export this file as .har. Please submit this file to us.
Related articles