Monthly Archives: December 2011

Realtime Postfix stats aggregator

With a user base as large as Disqus‘, there is a ton of new comment and reply notification emails to send. Indubitable there is a user that accidentally (maybe even purposefully) subscribes to extremely hot threads. When they start receiving a stream of emails, their email provider doesn’t appreciate the spike in traffic. They usually show their annoyance by temporarily blocking and then rate limiting our Postfix instance from relaying email to that inbox.

Unfortunately, the only decent Postfix stats aggregators I could find were written in Perl ( and consumed log files for some ad-hoc stats generation. Though, I was quite lazy after trying a few variations and finding the same Perl tools over and over so please leave a comment about your favorite Postfix stats aggregator.

I really didn’t need anything too fancy so I decided to take a stab at it myself. After thinking about it for a few minutes, I decided to try out using Python threading to have a small pool of workers run some regex on a queue of lines from syslog. All the stats are then gathered in a dictionary and either spit out to stdout or there is a VERY simple TCP server thread listening for ‘stats’ or ‘prettystats’ to dump the current cumulative stats as a JSON dictionary. Full readme can be found on the Github page. Best part, it requires no 3rd party libraries.

postfix-stats on Github
postfix-stats on PyPi

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django-celery, eventlet and debugging blocking

I recently wrote a couple Celery tasks that are purely IO bound. So instead of using the default multiprocessing execution pool, I used the Eventlet execution pool. With just a small change in Celery settings, I was off to the races.

Wrong! After some amount of time, it just sits at 100% CPU and no longer processes tasks. Unfortunately, Celery calls monkey_patch a little late when coupled with Django. Django does some magic of its own to various components so monkey_patch needs to be called before Django does any initialization. After a little digging, I found I can just set an environment variable to prevent Celery from doing the monkey patching and at the same time use it to signal to call monkey_patch before the initialization my Django app.

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