I am running a python application as a docker container and in my python application I am using pythons logging class to log execution steps using logger.info, logger.debug and logger.error. The problem with this is the log file is only persistent within the docker container and if the container goes away then the log file is also lost and also that every time I have to view the log file I have to manually copy the container log file to local system.What I want to do is that whatever log is being written to container log file, it should be persistent on the local system - so write to a local system log file or Auto mount the docker log file to local system.
Few things about my host machine:
- I run multiple docker containers on the machine.
My sample docker-core file is:
FROM server-base-v1 ADD . /app WORKDIR /app ENV PATH /app:$PATH CMD ["python","-u","app.py"]My sample docker-base file is:
FROM python:3 ADD ./setup /app/setup WORKDIR /app RUN pip install -r setup/requirements.txtA sample of my docker-compose.yml file is:
`
version: "2"
networks:
server-net:
services:
mongo:
container_name: mongodb
image: mongodb
hostname: mongodb
networks:
- server-net
volumes:
- /dockerdata/mongodb:/data/db
ports:
- "27017:27017"
- "28017:28017"
server-core-v1:
container_name: server-core-v1
image: server-core-v1:latest
depends_on:
- mongo
networks:
- server-net
ports:
- "8000:8000"
volumes:
- /etc/localtime:/etc/localtime:ro
`
Above yml file sample is just a part of my actual yml file. I have multiple server-core-v1 containers(with different names) running parallel with each having their own logging file.
I would also appreciate if there are some better strategies for doing logging in python with docker and make it persistent. I read few articles which mentioned using sys.stderr.write() and sys.stdout.write() but not sure how to use that especially with multiple containers running and logging.
