Re: Django channels scalling

Thanks mate 

On Wednesday, December 21, 2022 at 9:55:33 PM UTC+5:30 shahee...@gmail.com wrote:

Generally, as you may know, it is not very easy to get memory usage stats on Unix/Linux without specialised tooling.

However, in my experience, with default TCP settings, the kernel overhead plus whatever "typical" app overhead will not often exceed say 100 kB per connection.

Now, we had originally used an even smaller 1GB server than yours, and we did run out of memory, with attendant catastrophic failures. We were able to trace the failures to certain ORM queries on tables with large JSONB columns (in the MB range). Once we addressed that, we were fine. At no point, even with our usage  pattern of connect per message (!!!) , did sockets usage even warrant a second thought. 

On Thu, 22 Dec 2022, 00:01 Divit Rao, <di...@yodaplus.com> wrote:

Hi Team,

currently I have deployed a Django project on EC2 server which has a RAM of about 2GB using Gunicorn and Ngnix, I'm using Django channels on same server, so as of now we have around 200 active users. currently each user will have 5 active WebSocket connections/consumers (for chat, notification, etc.) open so currently around 1000 open connections are present at a time. As of now WebSocket's are working fine but in future we are expecting a growth in user so as the active WebSocket connections will grow, and at some point, due to excessive load, the server will start throwing issues regarding socket connections my question is how to scale django channels.

Like should i just increase server size or is there any other solutions? 

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