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Scalling and monitor the outbound server and outbound Queue
Hi! I am using Haraka outbound mail server for long time now. For small scale 30K a day. Now we have some requirement where we need to send emails on a very High Scale.
- Is there any benchmark published avalible? how may email ((max 10MB attachment)) can be processed and deliver by Haraka machine 1 AWS c3.medium 4core system, and what is ideal Max concurrency limit we should have for outbound.
2.How do we monitor the outbound Queue, is there any plugin available? I tried to check but not got much details on it.
- Is there any reference of for best practices guidelines for implementing Haraka for High scale email. runing cluster mode(node=cpus).
Kindly suggest.
In order to monitor the queue on my servers - I am just monitoring the number of files present in the "queue" catalogue. Problably not the most ideal way, but it works atleast for now.
-
No recent benchmarks, but I managed to get it to receive about 5000 emails a second 11 years ago on the hardware available then. I haven't benchmarked Outbound since it depends on so many factors.
-
The main
haraka
binary has a --qstat option, there's also the excellentprocess_title
plugin which helps with monitoring things. -
Regarding scaling, there's a wiki page: https://github.com/haraka/Haraka/wiki/Performance-Tuning
On Sat, Apr 10, 2021 at 3:27 PM ajay-psd @.***> wrote:
Hi! I am using Haraka outbound mail server for long time now. For small scale 30K a day. Now we have some requirement where we need to send emails on a very High Scale.
- Is there any benchmark published avalible? how may email ((max 10MB attachment)) can be processed and deliver by Haraka machine 1 AWS c3.medium 4core system, and what is ideal Max concurrency limit we should have for outbound.
2.How do we monitor the outbound Queue, is there any plugin available? I tried to check but not got much details on it.
- Is there any reference of for best practices guidelines for implementing Haraka for High scale email. runing cluster mode(node=cpus).
Kindly suggest.
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