Monitor and control Apache web server workers from Python
apache-manager package helps to collect monitoring metrics about the
Apache web server and kill worker processes that exceed resource thresholds.
It works by parsing the plain text and HTML status pages generated by Apache’s
mod_status module. It’s currently tested on Python 2.6, 2.7, 3.4, 3.5 and PyPy.
On the one hand the
apache-manager package was developed based on quite a few
years of experience interfacing with (and monitoring) the Apache web server
using the interfaces provided by Apache itself (mod_status) as well as the
Linux operating system interfaces (/proc).
On the other hand the Python package itself is quite new: it was developed between June and September of 2015.
Then again, I’m religious about test coverage, so there’s that :-).
Despite the complete package being covered by automated tests I’m not (yet) committing to backwards compatibility because I first want to run this package in a production (like) environment for some time, to get a feeling for how robust it is. I also need to evaluate how easy it is to integrate the current solution into monitoring systems (that was a goal, but I don’t always achieve my goals on the first attempt :-).
apache-manager package is available on PyPI which means installation
should be as simple as:
$ pip install apache-manager
There’s actually a multitude of ways to install Python packages (e.g. the per user site-packages directory, virtual environments or just installing system wide) and I have no intention of getting into that discussion here, so if this intimidates you then read up on your options before returning to these instructions ;-).
There are two ways to use the
apache-manager package: As the command line
program apache-manager and as a Python API. For details about the Python
API please refer to the API documentation available on Read the Docs. The
command line interface is described below.
Command line interface to monitor the Apache web server and kill worker processes that exceed resource thresholds. When no options are given the server metrics and memory usage of workers are printed to the terminal.
|-w, --watch||This option causes the Apache manager to redraw the collected metrics once every 10 seconds in a “top” like interface until interrupted using “q” (for quite) or Control-C.|
|-a, --max-memory-active=SIZE||Kill active Apache workers that are using more memory than specified by the SIZE argument. SIZE is expected to be a human readable memory size like 50K (50 kilobytes), 42M (42 megabytes), 2G (2 gigabytes), etc.|
|-i, --max-memory-idle=SIZE||Kill Apache workers that are using more memory than specified by the SIZE argument (see --max-memory-active for acceptable values of SIZE).|
|-t, --max-ss, --max-time=TIMESPAN||Kill Apache workers whose “time since the beginning of the most recent request” is greater than specified by the TIMESPAN argument. TIMESPAN is expected to be a human readable timespan like 2s (2 seconds), 3m (3 minutes), 5h (5 hours), 2d (2 days), etc.|
|-f, --data-file=PATH||Change the pathname of the file where the Apache manager stores monitoring metrics after every run. Defaults to “/tmp/apache-manager.txt”.|
|-z, --zabbix-discovery||Generate a JSON fragment that’s compatible with the low-level discovery support in the Zabbix monitoring system. With the right template in place this enables the Zabbix server to discover the names of the WSGI process groups that are active on any given server. This makes it possible to collect and analyze the memory usage of specific WSGI process groups.|
|-n, --dry-run, --simulate||Don’t actually kill any Apache workers.|
|-v, --verbose||Increase verbosity (can be repeated).|
|-q, --quiet||Decrease verbosity (can be repeated).|
|-h, --help||Show this message and exit.|
The latest version of
apache-manager is available on PyPI and GitHub. The
documentation is hosted on Read the Docs. For bug reports please create an
issue on GitHub. If you have questions, suggestions, etc. feel free to send me
an e-mail at firstname.lastname@example.org.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|apache_manager-1.1-py2.py3-none-any.whl (29.9 kB) Copy SHA256 hash SHA256||Wheel||py2.py3||Mar 6, 2017|
|apache-manager-1.1.tar.gz (25.0 kB) Copy SHA256 hash SHA256||Source||None||Mar 6, 2017|