A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine
During the development of a machine learning serving project Mosec, I used a lot of multiprocessing to make it more efficient. I want to share some experiences and some researches related to Python multiprocessing.
gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
I found that some discussion in the gc.freeze() PR. It looks that the untouched data should be able to share among processes. Also, it has been 4 years for Gunicorn to process this support for gc.freeze() for apps that use preloading. I cannot found a good example to demonstrate that this method works well.
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Scope of database threads + connections + sessions
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Running Django with Gunicorn - Best Practice
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gunicorn - a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
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Flask app logger not working when running within gunicorn
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Do I need to use Nginx when hosting Django Docker backend inside of ECS?
2 projects | reddit.com/r/django | 4 Nov 2021