[erlang-questions] Investigate an infinite loop on production servers
Morgan Segalis
msegalis@REDACTED
Thu May 23 11:35:45 CEST 2013
Nevermind I got it…
However I do not get a lot of information…
most of process is proc_lib:ini_p/5
Le 23 mai 2013 à 11:23, Morgan Segalis <msegalis@REDACTED> a écrit :
> Apparently I'm monitoring my own node…
>
> Does someone know how to monitor a external cluster node with etop ?
>
> Le 23 mai 2013 à 11:13, Morgan Segalis <msegalis@REDACTED> a écrit :
>
>> I have launch the etop on my computer monitoring the production server… hoping that I will see something wrong !
>>
>> Thank you for your help so far (to All).
>>
>> I'll come back to you as soon as I have more information with etop.
>>
>> Morgan.
>>
>> Le 23 mai 2013 à 07:38, Vance Shipley <vances@REDACTED> a écrit :
>>
>>> On Thu, May 23, 2013 at 04:00:07AM +0200, Morgan Segalis wrote:
>>> } I'm having a bit of an issue with my production servers.
>>>
>>> You will find that etop is your friend:
>>>
>>> http://www.erlang.org/doc/apps/observer/etop_ug.html
>>>
>>> Run etop from the command line and sort on the column you're
>>> interested in. To watch memory usage:
>>>
>>> etop -node tiger@REDACTED -sort memory
>>>
>>> This will list the processes by memory size in decreasing order.
>>> This shows you the memory hogs. Watch it as it starts to get
>>> into trouble and you should see where the memory is getting used.
>>>
>>> As Bob points out the most common problem is that a process's
>>> inbox will start to fill up. Once this starts happening it's
>>> the beginning of the end. Another process may start eating up
>>> memory and the node may crash because it has requested more than
>>> is available bt the root cause was that one process not having
>>> time to service the messages at the rate they are received.
>>>
>>> To watch for message queue lengths:
>>>
>>> etop -node tiger@REDACTED -sort msg_q
>>>
>>> The above will list the processes in decreasing order of inbox
>>> size. They should all be zero, and sometimes one, normally. If
>>> you have a problem you'll see one process stay at the top and it's
>>> message queue length will start to grow over time.
>>>
>>> --
>>> -Vance
>>
>
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