<html><head>
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</head><body bgcolor="#FFFFFF" text="#000000">I'm using Resque using a
cluster of 3+ with no problems and it's on EC2. Obviously there is a
concern of possible data loss if outstanding jobs are lying in the queue
in memory because of Redis.<br>
<br>
Anything that is critical I tend to use a service in between to persist
it to ensure something is "safe" before throwing it in the queue and an
after job to go clean up the persisted queue once I've verified a job is
safely completed. It's expensive though under load but you can have
this only for "critical" stuff. DJ is better for this kind of thing, but
in the end it's how you plumb together you can still use Resque and
Redis.<br>
<br>
To answer the question a distributed setup shouldn't make a difference
for either DJ or Resque, the fact you can run multiple works on one
machine, almost means you can run it on many machines.<br>
<br>
Ken<br>
<br>
Ed James (Alt) wrote:
<blockquote cite="mid:37A57D0AB94246F5AF8AA8642A284ADC@gmail.com"
type="cite">
<div>
Hi all
</div>
<div><br></div>
<div>I've used both DJ and Resque before, so I'm familiar with both.
However, I've never used them in a distributed architecture, where you
have workers running on multiple machines. Resque seems to tout this as a
feature a bit more then DJ, although the DJ docs say it is possible.</div>
<div><br></div>
<div>Has anyone had any experience in running either Resque or DJ in a
distributed setup?</div>
<div><br></div>
<div>The primary reason for wanting to do this is for the ability to
auto-scale (on AWS).</div>
<div><br></div>
<div>Thanks.</div>
<div><div><br></div><div>-- </div><div>Ed James</div><div>Sent with <a
moz-do-not-send="true" href="http://www.sparrowmailapp.com/?sig">Sparrow</a></div><div><br></div></div>
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