Dear community,
I just developed a machine learning driven python 2.7 application which essentially loads a sklearn model with joblib and predicts a given dataset. On local host the application works perfectly, but when I deploy the django application on digital ocean (Ubuntu 18., gunicorn, nginx) I get a bad gateway error. I found out that the error is being raised when the model is being loaded with joblib. What I noticed as well is that the application works perfectly when a model that has the size of 8000 bites is being loaded but that but that the bad gateway error is being raised when I try to load a model of 60000 bites.
What I have tried is to resize the droplet in order to avoid that the error is being caused by a lack of computing resources, but I still get the error!
Unfortunately, I have no clue how to tackle the problem. So I hope that you guys can help me as maybe anyone here has experienced the same issue before or knows how this problem could be analysed and resolved.
I appreciate any help
Kind regards
Marcel
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Hi Marcel,
Sounds like an nginx timeout error because of the load time of the model. Might have to increase the 504 error time. I am not too sure on the actual issue but first link on google: https://stackoverflow.com/questions/35810749/nginx-504-gateway-timeout-error-for-django
Let us know if that works. Thanks 😃
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