In the Dockerfile, we are simply using the ubuntu:latest image as our base container image, installing the apache2-utils package, and then defining that the command for this container is the ab command. Each Dockerfile is a script, composed of various commands (instructions) and arguments listed successively to automatically perform actions on a base image in order to create (or form) a new one. Versions: Django 1.11, Python 3.6, Celery 4.2.1, Redis 2.10.6, and Docker 17.12. Example. Lets take a look at the Celery worker service in the docker-compose.yml file. FROM ubuntu:latest RUN apt-get update && \ apt-get install -y apache2-utils && \ rm -rf /var/lib/apt/lists/* CMD ab. The following commands in Dockerfile appears to work: RUN pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org jira. Omitting the build context can be useful in situations where your Dockerfile does not require files to be copied into the image, and improves the build-speed, as no files are sent to the daemon.. This is a minimal example demonstrating how to set up the components of a Django app behind an Nginx proxy with Celery workers using Docker. Celery changed the names of many of their settings between versions 3 and 4, so if internet tutorials have been tripping you up, that might be why. To run multiple processes e.g. Create your supervisord.conf configuration file like: [supervisord] nodaemon=true [program:sshd] command=/usr/sbin/sshd -D [program:apache2] command=/bin/bash -c "source /etc/apache2/envvars … This makes life as a Celery developer a lot easier. As your dockerfile is named so, you don't need to specify it in the docker-compose.yml. Instead of having to install, configure and start RabbitMQ (or Redis), Celery workers and a REST application individually, all you need is the docker-compose.yml file – which can be used for development, testing and running the app in … RUN pip3 install --trusted-host pypi.org --trusted-host files.pythonhosted.org jira . https://medium.com/swlh/dockerize-a-django-application-68e1b5d85d76 an Apache web server together with an SSH daemon inside the same container you can use supervisord.. docker documentation: Dockerfile + supervisord.conf. Note that especially for Celery, versions matter a lot. Dockerfiles begin with defining an image FROM which the build process starts. They are used for organizing things and greatly help with deployments by simplifying the process start-to-finish. There is nothing magic going on with this command; this simply executes Celery inside of the virtualenv. This service uses the same Dockerfile that was used for the build of the app service, but a different command executes when the container runs. If you want to improve the build-speed by excluding some files from the build- context, refer to exclude with .dockerignore.. The Docker image app-image used by the app service is built from the Dockerfile in this project. To 'adequately' debug Celery under Windows, there are several ways such as: > celery worker --app=demo_app.core --pool=solo --loglevel=INFO But in fact for normal development, you need a Unix system.If you do not have the opportunity to use it as a native, then it is worth considering...)Well, to be honest, there is always a way out and this is Docker and WSL. Work: RUN pip install -- trusted-host files.pythonhosted.org jira this simply executes Celery inside of the virtualenv Celery developer lot. On with this command ; this simply executes Celery inside of the virtualenv ;! 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