10 Aug
2024
10 Aug
'24
1:07 p.m.
Hello Henning,
Sure, Not comparable to rtpengine. In real-world experience, lrkproxy can
process with minimal resources. For example, with 2 cpu cores and 2 GB of
RAM, it can process nearly 1000 simultaneous calls.
Of course, we made a detailed comparison between lrkproxy, rtpproxy,
rtpengine and published the result of the comparison in this paper (
https://ieeexplore.ieee.org/document/9303608).
With Best Regards.
Mojtaba Esfandiari.S
On Wed, Aug 7, 2024 at 2:10 PM Henning Westerholt <hw(a)gilawa.com> wrote:
Hello Mojtaba,
did you know about some benchmarks to support that LRKProxy has superior
performance wise compared to rtpengine?
Thanks, and regards,
Henning
*From:* Mojtaba via sr-users <sr-users(a)lists.kamailio.org>
*Sent:* Mittwoch, 7. August 2024 11:49
*To:* Kamailio (SER) - Users Mailing List <sr-users(a)lists.kamailio.org>
*Cc:* Mojtaba <mespio(a)gmail.com>
*Subject:* [SR-Users] Re: Best Practices for Scaling Kamailio in a Large
VoIP Deployment
Hi Maria,
If your concurrent calls begin more and more, It would be better to use
the LRKProxy module in your development.
With best regards.
Mojtaba Esfandiari.S
On Tue, Aug 6, 2024 at 4:28 PM marek via sr-users <
sr-users(a)lists.kamailio.org> wrote:
Hi Maria,
<joke>
increase of "moderate" 50 calls to "significant" 200 calls is no
problem for kamailio
</joke>
without context, numbers, your topology/architecture is hard to advice
generally the bottleneck is RTP, not SIP proxy
cpu is better with high freq, not many cores
some links from archive
https://skalatan.de/en/archive/presentations/fosdem-2023-presentation.pdf
https://blog.evaristesys.com/2016/02/15/tuning-kamailio-for-high-throughput…
Marek
Dne 2024-07-23 v 13:52 Maria Jonas via sr-users napsal(a):
--
--Mojtaba Esfandiari.S
Hello Kamailio Community,
I am currently working on a large scale VoIP deployment and would love
to get
insights on the best practices for scaling Kamailio. Our current
setup handles a moderate volume of calls,,, but we’re expecting a
significant increase in traffic soon. Specifically.., I am looking for
advice on:
-Optimizing Kamailio’s configuration for high availability and
performance.
-Efficiently managing load balancing and
failover.
-Recommended hardware specifications for large-scale operations.
-Common pitfalls to avoid when scaling up.
Any tips or resources you could share would be greatly appreciated. If
you have
experience with similar projects,,, I’d love to hear about your
setups and any challenges you faced.
Thank you!
Maria
[aws](
https://www.igmguru.com/cloud-computing/aws-developer-certification-trainin…
)
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