This setup can be used for hosting any image (although here I use a machine learning service) with ssl so long as you have a domain.
Inside docker-compose-production.yml make sure to change everything inside <> to your respective values
ml-service:
image: <image-name>
environment:
VIRTUAL_HOST: <something.com>
LETSENCRYPT_HOST: <something.com>
LETSENCRYPT_EMAIL: <[email protected]>
Make sure your image exposes port 80 Here's an example from the (shameless plug) FastAPI-Fastai2 template repo's Dockerfile
FROM fastdotai/fastai:latest
RUN apt-get update && apt-get install -y git python3-dev gcc \
&& rm -rf /var/lib/apt/lists/*
COPY requirements.txt .
RUN pip install --upgrade -r requirements.txt
COPY app app/
RUN ls app/
# RUN python app/server.py
EXPOSE 80
CMD ["python", "app/server.py", "serve"]
Inside limit.conf you can choose to limit the size of a files that can be uploaded to your service. The default is client_max_body_size 25m;
Clone the repo onto your VM and use docker-compose up
git clone https://github.com/BoxOfCereal/easy-ssl.git && docker-compose up -d