A set of demo of deploying a Machine Learning Model in production using various methods
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Updated
Sep 22, 2021 - Python
A set of demo of deploying a Machine Learning Model in production using various methods
Flask+uWSGI+Nginx+Docker
Django 模板(Docker部署),Django-2.2(python3.7) + nginx-1.19 + uwsgi-2.0(gevent)
Test django app for testing the deployment using nginx( reverse proxy ( serve static files) ) , uWSGI, certbot, Lets Encrypt and aws-ec2
This is a flask application through which you can hit rest api's that allow you to create and add tasks in queue that executes and returns result asynhronously.The application is run on a uWSGI server and requests are routed through an nginx reverse-proxy. Docker is used to containerise each service and they are managed with docker compose
Django Tutorial (Django Poll App) for Django version 3.1 with docker, docker-compose, uwsgi and nginx.
This example explains how to create microsrevice with Python and Flask.
NginxDockerProxy is a simple tool to embed environment variables with nginx.
Flask_restful API server for stimson-web-scraper library hosted in Google Cloud Platform
A python flask application using uwsgi server and nginx load balancer
Flask boilerplate, nginx + uwsgi + flask inside a docker container
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