Wow, that is great.  Thanks!

With regard to experienced slowdown, of the management console I assume, does 
that get better if you apply name-based filtering to the views?

Thanks
John





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John Lilley

Data Management Chief Architect, Redpoint Global Inc.

888 Worcester Street, Suite 200 Wellesley, MA 02482

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From: Roskvist Anton <anton.roskv...@volvo.com>
Sent: Thursday, November 10, 2022 12:32 PM
To: users@activemq.apache.org
Subject: RE: Practical limit on #queues in Artemis

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Hello John,

For reference, one of the environments I’m maintaining currently uses around 
3.5k active destinations. The broker cluster is running on relatively modest 
servers without any issues. I will say though that at this point there has been 
some noticeable slowdowns in precisely the areas that Justin mentioned… that 
being said the clients (running on separate servers) report an average publish 
latency of ~0.8ms on the actual queues. That’s quite impressive I think.

Br,
Anton

From: John Lilley 
<john.lil...@redpointglobal.com.INVALID<mailto:john.lil...@redpointglobal.com.INVALID>>
Sent: den 9 november 2022 15:56
To: users@activemq.apache.org<mailto:users@activemq.apache.org>
Subject: RE: Practical limit on #queues in Artemis


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Thanks Justin!
I’ll run some tests and just see what happens.
John




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John Lilley

Data Management Chief Architect, Redpoint Global Inc.

888 Worcester Street, Suite 200 Wellesley, MA 02482

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john.lil...@redpointglobal.com<mailto:john.lil...@redpointglobal.com>
From: Justin Bertram <jbert...@apache.org<mailto:jbert...@apache.org>>
Sent: Tuesday, November 8, 2022 10:04 PM
To: users@activemq.apache.org<mailto:users@activemq.apache.org>
Subject: Re: Practical limit on #queues in Artemis

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There is certainly a practical limit, but I doubt anybody has a clear view of 
what it is. I think you're more likely to hit pain points with management (e.g. 
the web console) before the queues themselves cause problems.


Justin

On Fri, Nov 4, 2022 at 2:16 PM John Lilley 
<john.lil...@redpointglobal.com.invalid<mailto:john.lil...@redpointglobal.com.invalid>>
 wrote:
Greetings,

We create a queue per “job” and there can be a lot of jobs.  We tend to keep 
them around for a while (like an hour) to service job status after the job is 
complete, but this can result in a lot of mostly-idle queues.  Is there a 
practical limit at which Artemis becomes unhappy (low memory, sluggish 
performance)?  I’m sure it depends on VM sizing, but let’s just say that we 
have Artemis running in a K8S pod with 4GB memory available and 4vcpus.

I’m only looking for an order-of-magnitude ballpark.  Something like “no more 
than N per GB memory” would be great.

Thanks
John



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John Lilley

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