trying to scale N8N
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At the end of the day, I found the culpret.
Also upgraded to a bigger server.While yes N8N will happily crash it's self - I had a few perfmance bottlenecks and for now N8N seems to be happy with the traffic. Here is a breakdown of the solution without setting up queue mode.
- N8N uses postgress - so bumping up the RAM for N8N is not enough that just grows the list of RAM eating active processes, you also have to go bump the RAM for Postgres
- I am using Baserow for logging and followup task Queueing. By default baserow only has 3 Auth workers which is not enough to cover heavy load. So I had to install the CLI and run the command cloudron env set --app baserow.draglabs.com BASEROW_AMOUNT_OF_GUNICORN_WORKERS=9
Conclusion - Step 1 Significantly improved the performance of N8N dropping normal RAM consumption by about 30%
Step 2 Caused active processes to complete 10X faster further reducing N8N footprint.Now that I upgraded to 24 gigs I am only using 8
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@roofboard Hello how are you?
Could you tell me how you did the n8n queue mode installation? I've tried and I couldn't and I don't understand your explanation very well -
@hugoo_souza10 I think @roofboard enabled queuing in baserow and not in n8n.
What are you trying to do/solve ? Maybe you can open a separate thread with your issue.
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@hugoo_souza10 yes that is accurate I increased the "gunicorn" workers in baserow allowing for more writes and reads. Essentially I never got queue mode working, but i did optimize the instance for maximum performance. It has a limit somewhere around 10 requests per second.
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This post is deleted!
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@roofboard Can you explain to me how you did it? This would be just fantastic for escalating requests to people who have machines crashing.
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@hugoo_souza10
the matter of gunicorn workers is specific to baserow which I use for logging on N8N actions.to change the baserow env variables just go into the baserow terminal and type
export BASEROW_AMOUNT_OF_GUNICORN_WORKERS=20that should do it.
However for N8N the best you can do is give is 8gb or 16gb of ram, and increase the postgress ram to 4gb .
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@zonzonzon Services view - https://docs.cloudron.io/services/#configure