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.. Note that especially for Celery, versions matter a lot. docker documentation: Dockerfile + supervisord.conf. 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. The Docker image app-image used by the app service is built from the Dockerfile in this project. To run multiple processes e.g. https://medium.com/swlh/dockerize-a-django-application-68e1b5d85d76 RUN pip3 install --trusted-host pypi.org --trusted-host files.pythonhosted.org jira . FROM ubuntu:latest RUN apt-get update && \ apt-get install -y apache2-utils && \ rm -rf /var/lib/apt/lists/* CMD ab. As your dockerfile is named so, you don't need to specify it in the docker-compose.yml. 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. an Apache web server together with an SSH daemon inside the same container you can use supervisord.. 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. If you want to improve the build-speed by excluding some files from the build- context, refer to exclude with .dockerignore.. 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 … 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 … There is nothing magic going on with this command; this simply executes Celery inside of the virtualenv. 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. Dockerfiles begin with defining an image FROM which the build process starts. This makes life as a Celery developer a lot easier. The following commands in Dockerfile appears to work: RUN pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org jira. Versions: Django 1.11, Python 3.6, Celery 4.2.1, Redis 2.10.6, and Docker 17.12. 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. They are used for organizing things and greatly help with deployments by simplifying the process start-to-finish. Lets take a look at the Celery worker service in the docker-compose.yml file. Example. Greatly help with deployments by simplifying the process start-to-finish worker service in the docker-compose.yml file and... Apache web server together with an SSH daemon inside the same container you can use supervisord commands. 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