> From: Kris Deugau <[EMAIL PROTECTED]>
> Organization: ViaNet Internet Solutions
> Reply-To: <users@spamassassin.apache.org>
> Date: Wed, 09 Apr 2008 12:36:56 -0400
> To: <users@spamassassin.apache.org>
> Subject: Re: Large-scale global Bayes tuning?
> 
> Michael Scheidell wrote:
>> Bayes on cluster begs the question: what if you didn't replicate the bayes
>> tables, and left them server specific?
> 
> It may yet take that.  :(  (If only for overall cluster reliability -
> any one of the current three machines could handle the current load
> without any trouble, but we're likely going to stuff ClamAV on them as
> well.)  Unfortunately that means doing mistake-training on *each*
> machine - autolearn on it's own just doesn't cut it.
> 
> I'm dogfooding pretty much that exact scenario on one machine;  it's got
> its own local Bayes DB that I'm hand-training with my own mail.
> 
You could also take mysql off of one or several, have them load balance to
the other mysql servers, run a caching (global) dns server and clamav on one
of them.

What about DCC? I assume with those volumes you are running a local DCC
server, and having the other boxes talk to it?


>> Since (depending on configurations) some of the servers might get 'spam
>> only' (higher mx records), maybe just take one of the 'valid' bayes tables
>> and manually copy it (sa-learn backup, sa-learn clear, restore) every week
>> or so.
> 
> Mmmh.  Access is for both inbound and outbound mail, through a
Keep a couple for outbound only, won't need bayes too much on those.
We have an engineering spec for a 9x9 (9 nodes in a cluster, 9 clusters in a
group) to support up to 2MM users, and we do a lot of task and load
splitting like that.

-- 
Michael Scheidell, CTO
>|SECNAP Network Security
Winner 2008 Network Products Guide Hot Companies
FreeBSD SpamAssassin Ports maintainer
Charter member, ICSA labs anti-spam consortium

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