* Julien Vehent <[email protected]>:
> Hi Folks,
>
> Like others before me, I'm curious about how well postscreen
> performs in the real world.
>
> I'm writing an article on Postscreen for the french issue of linux
> magazine. I got the setup part covered fine, but miss some
> statistics on how it runs.
> I have logs from two mid-size organizations I run, but the logs
> contains only a couple thousands different IPs, so I'm wondering if
> the community would be willing to share some data :)
>From mail.python.org. It handles all list traffic for python.org:
=== Postscreen statistics ===
7 BARE NEWLINE
15 COMMAND COUNT LIMIT
165 COMMAND PIPELINING
736 COMMAND TIME LIMIT
38678 CONNECT
24189 DNSBL
25812 HANGUP
543 NOQUEUE 450 deep protocol test reconnection
4 NOQUEUE too many connections
486 PASS NEW
3455 PASS OLD
9373 PREGREET
7206 WHITELISTED
=== Clients statistics ===
3 avg. dnsbl rank
12301 clients
309 reconnections
4050 seconds avg. reco. delay
=== First reconnection delay (graylist) ===
delay| <10s |>10to30s| >30to1m| >1to5m | >5to30m|>30mto2h|
>2hto5h|>5hto12h|>12to24h| >24h |
count|4 |18 |4 |83 |110 |46 |18 |17 |6
|3 |
% |1.3 |5.8 |1.3 |27 |36 |15 |5.8 |5.5
|1.9 |0.97 |
>
> There is a script to do the log parsing:
> https://github.com/jvehent/Postscreen-Stats
> Any short report (without the IPs) would be interesting. If,
> additionally, you can calculate the geo-localisation, that would be
> great (but querying the database on hostip.info takes a while).
>
> It's has simple as: $ python postscreen_stats.py -f maillog.1 -r
> short -g
>
> I'm also open to suggestions on how to improve the script. I'm no
> python expert, and there are probably tons of interesting
> information to extract from the postscreen logs.
>
> Thanks a lot,
>
> Julien
>
>
>
> --
> Julien Vehent - http://1nw.eu/!j
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