shared storage for mails
Paul Kelly :: Blacknight
paul at blacknight.com
Mon Jun 23 00:06:28 IST 2008
Sounds like a good option. that said the same can be achieved by saving your quarantine from each scanner on central file servers using NFS mounts onto each scanner from the shared storage.
We do this with centralised web and db servers and we process 9m mails a month on one cluster with 1 x db and 1 x web servers, we did write a centralised app for customers to allow them view their quarantine and release, whitelist email messages etc.
________________________________
From: mailscanner-bounces at lists.mailscanner.info [mailto:mailscanner-bounces at lists.mailscanner.info] On Behalf Of Peter Farrow
Sent: Sunday, June 22, 2008 9:20 PM
To: MailScanner discussion
Subject: Re: shared storage for mails
Jan Agermose wrote:
hi
I want to setup a number of mailscanner serveres that log to a shared mysql server and that store the mails (I quarantine both non spam and spam mails) to some sort of shared storage. NFS or some other solutions.
I would like to know how others have done this and what kind of performance issues your solutions have had if any.
if its not a secret ;-)
best regards
Jan
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Hi There,
Yes, you start by installing Mailwatch and setup a central Mysql server, you can then enable the RPC process within MailWatch to allow messages to be released from quarantine from the Mailwatch running on the Mysql server. This is how I run it.
I don't store the messages that are in quarantine centrally, rather I store them on the server than scanned them. This way you can maintain state with the message when it is released which minimises delays when greylisting is used, rather than tossing them into a central store.
Since this is self scaling, i.e. you use the server that decided to quarantine to store the messages, then the system grows by you simpling adding machines to cope with your mailscanning load. So if you have enough machines to handle you scanning, then, unless the numbers are huge, any reasonable database server hardware should cope.
I use a set up six Athlon 64 FX based machines to scan and a Pentium D 805 based machine to run the database and it happily copes with millions of emails per month no bother at all.
Regards
Pete
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