We tried to correlate it with disk activity, and we didn't see any relation. We haven't tried with network traffic, we'll try that.<div>Thanks for the help, I'll run the command you indicated next time we see this behavior.</div>
<div>Regards,</div><div>g<br><br><div class="gmail_quote">On Wed, Sep 26, 2012 at 12:35 PM, Emile Joubert <span dir="ltr"><<a href="mailto:emile@rabbitmq.com" target="_blank">emile@rabbitmq.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi,<br>
<div class="im"><br>
On 26/09/12 15:38, Guillaume Pothier wrote:<br>
</div><div class="im">> I have the output of rabbitmqctl report available, but as it is rather big<br>
<br>
</div>I don't see anything obvious. Queues only account for 100-150Mb of RAM,<br>
so lack of correlation in the graphs is understandable. Have you tried<br>
to correlate RAM usage with any other parameters (such as network bandwith)?<br>
<br>
Could you please supply the output of this command the next time RAM<br>
usage stays inexplicably high?<br>
<br>
rabbitmqctl eval<br>
'lists:sublist(lists:reverse(lists:sort([{process_info(Pid, memory),<br>
Pid, process_info(Pid)} || Pid <- processes()])), 30).'<br>
<span class="HOEnZb"><font color="#888888"><br>
<br>
-Emile<br>
<br>
<br>
</font></span></blockquote></div><br></div>