Hello everyone, 

I have a question of using Django channels. Please go through the following 
-

Requirement - I have a query regarding a use case of where I have a Django 
server communicating with multiple raspberry pis to connected to hardware 
probes. The Django server collects data from the pis and stores it in a 
database. I also have a requirement that I do not have a global IP for the 
raspberry pis but have one for the Django server(hosted on AWS) and would 
like the pis to connect to the server for communication.

Current situation - 
Currently, I am using celery where I have the Django server communicating 
with different celery workers hosted on different Raspberry Pis. The web 
application served by Django takes request from the user and updates the 
database collecting information from the raspberry pi. Using Celery becomes 
a bit complicated here as I have to have task queues in Celery broker 
corresponding to each raspberry pi which might be a problem while scaling 
it up. 

Question - 
Therefore, I wish to experiment with Django channels in this case but I 
cannot see a provision how can I send tasks to remote locations and get the 
results back.I am essentially talking about integrating Django Channels in 
a distributed environment where I could have consumers working remotely on 
different pis and Django interacts with these consumers through channels 
having different channels for each raspberry pi connected.

One advantage of using Celery is that it is robust as compared to channels 
but is noticeably slow. Moreover, the broker of the Celery framework is 
hosted where Django server is running and hence all the pis connect to this 
broker using the Django servers IP thus obviating the need to have global 
IPs for the pis. In my understanding, this is not possible with Django 
channels.

I would appreciate any suggestion of using channels in my use case keeping 
in account the requirement.

Thanks in advance.

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