That's a good question. In our scenario, we primarily leverage this option
for monitoring purposes. We measure the round-trip time for each endpoint
and then populating our time series DB with this data and displaying it in
Grafana. We found this method as the most reliable way to obtain accurate
network information for each endpoint. Our support team finds it incredibly
useful and incorporates it into their daily routines.
Although it does add some additional load on our SBC, so far, we haven't
encountered any issues due to this. Furthermore, as part of our horizontal
scaling strategy, in the event that one server becomes overloaded with
traffic, we seamlessly redistribute a subset of customers to another
server. However, we are considering relocating this function away from the
main SBC. As this feature is not very critical I would be more than happy
to move it to a dedicated server with lower priority. I'm curious about
your approach to handling this. How do you guys manage a similar setup, and
what solutions would you recommend to achieve comparable results?
Thank you.
On Mon, 11 Dec 2023 at 18:42, Alex Balashov via sr-users <
sr-users(a)lists.kamailio.org> wrote:
Perhaps it is helpful to ask a more basic question:
why are you using
server-side keepalives?
On 11 Dec 2023, at 12:56, Benoit Panizzon via
sr-users <
sr-users(a)lists.kamailio.org> wrote:
Hi
We have reached 20000 registered CPE and start facing issues.
Am I observing correctly that when ka_mode 4 is enabled, OPTIONS are
send simultaneously to all registered CPE and not spread over the
interval?
They could be the cause very high pps peaks on network equipment?
If so, is there a way to spread the ka options over time so they don't
cause such high peaks?
Or even better, is there a way to enable them for only some customers
via a variable?
Mit freundlichen Grüssen
-Benoît Panizzon-
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Alex Balashov
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Evariste Systems LLC
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