Docker celery multiple workers This article will guide you through leveraging the KubernetesPodOperatorCallback to dynamically create and manage Celery workers … Celery Celery is a task queue with focus on real-time processing, while also supporting task scheduling. services: worker-a: command: celery -A tasks worker -l "DEBUG" --concurrency=1 -Q qname_a restart: Mar 16, 2022 · Celery Flower with Multiple Workers in Different Docker Containers Asked 3 years, 7 months ago Modified 1 year, 9 months ago Viewed 2k times Jul 31, 2018 · I run celery workers pinned to a single core per container (-c 1) this vastly simplifies debugging and adheres to Docker's "one process per container" mantra. bin. Aug 22, 2020 · This example uses Docker Compose to create a network of services to illustrate the interactions between separated Celery application and worker services. A minimal working example consists of: Running celery multi in docker container with running logs, signal trap, and graceful shutdown & restart - docker-start-celery-multi-worker-entrypoint celery. Jan 14, 2025 · You can access the logs with the following command: docker logs celery_worker Finally, consider orchestrating your containers using Docker Compose if your architecture involves multiple services. Celery communicates via Apr 21, 2012 · I am new to celery. Feb 6, 2018 · To prevent multiple instances, the restarted worker stops itself with "PIDfile found, celery is already running?". I know how to install and run one server but I need to distribute the task to multiple machines. Jan 31, 2022 · In the previous article, I wrote about Separating Celery application and worker in Docker containers. Since I have celery tasks that run periodically, I am using celery beat. Feb 9, 2019 · This post will be in two parts. Apr 6, 2018 · My flask app is comprised of four containers: web app, postgres, rabbitMQ and Celery. This configuration ensures network isolation and dependency management between services. Sep 24, 2020 · Apache Airflow with Celery Executor (Image by author) With Docker, we plan each of above component to be running inside an individual Docker container. Mar 12, 2025 · Multi-Service Setup with Docker Compose Docker Compose coordinates containers for Celery workers and their message broker (Redis). Sep 25, 2017 · In your case, there are multiple celery workers across multiple pods, but all of them connected to one same Redis server, all of them blocked for the same key, try to pop an element from the same list object. Celery communicates via messages, usually using a . Feb 28, 2021 · I am using docker-compose to build and run celery workers. Web Server, Scheduler and workers will use a Aug 18, 2019 · Apache Airflow with 3 Celery workers in docker-compose UPD from 20 July 2020: this article is pretty old and when I write it there was not exist the official Docker image so in article I used … Jan 6, 2023 · The celery multi command does not wait for celery worker to done but it start multiple celery workers in background and then exit. This is my CeleryConfig in Mar 22, 2024 · Discover how to scale your application using Celery workers for efficient background task processing. Currently my docker-compose. the container must be run with --rm flag to remove container once the container is stopped. Sep 12, 2023 · Hi. A few ways of dealing with this: a. Jul 31, 2018 · I run celery workers pinned to a single core per container (-c 1) this vastly simplifies debugging and adheres to Docker's "one process per container" mantra. You need to experiment to find the numbers that works best for you, as this varies based on application, work load, task run times and other factors. Use --pidfile and --logfile argument to change $ # this. Jul 18, 2023 · In this article, we will walk through the process of setting up a standalone Celery application and then containerizing it with Docker. For this to work, you need to setup a Celery backend (RabbitMQ, Redis, Redis Sentinel …), install the required dependencies (such as librabbitmq, redis …) and change your airflow. Hopefully it's helpful to someone! I have a longer guide I'll link to at the bottom, but this is the condensed version that should give you an idea of what I'm talking Nov 8, 2024 · [Questions] How to do Django -> RabbitMQ > Multiple Celery Workers, each inside a docker container? #12691 Closed Locked Answered by michaelklishin djaniel asked this question in Questions djaniel Jun 12, 2018 · When it comes to Celery, Docker and docker-compose are almost indispensable as you can start your entire stack, however many workers, with a simple docker-compose up -d command. Unfortunately, the termination of foreground process causes child workers to be terminated too in docker container environment. The first will give a very brief overview of celery, the architecture of a celery job queue, and how to setup a celery task, worker, and celery flower interface with docker and docker-compose. It uses brokers to listen to inputs and deliver it to the worker. This tool allows you to define and run multi-container Docker applications easily. Nov 29, 2024 · How to Distribute Tasks in Kubernetes Using Celery Kubernetes Pods. Mar 1, 2025 · There is even some evidence to support that having multiple worker instances running, may perform better than having a single worker. We are going to build a small Celery app that periodically downloads newspaper articles. We then break up the stack into pieces, dockerising the Celery app. Your critical tasks get the express lane they deserve. py's of tasks, and we're doing that, but we still want more than one celery worker for greater parallelism - more than we have cores in any given machine (VM) Mar 17, 2024 · Explore how to set up a scalable task queue using Celery in combination with Docker containers. The whole container must be removed with a docker rm, or docker-compose down; docker-compose up. A task queue’s input is a unit of work called a task. Mastering Airflow with Celery Executor: A Comprehensive Guide Apache Airflow is a robust platform for orchestrating complex workflows, and its integration with the Celery Executor leverages distributed task processing to execute tasks efficiently across multiple workers. and its components Finally, we put it all back together as a multi-container app. Nov 15, 2018 · How do you dockerise an app? And how do you orchestrate your stack of dockerised components? This blog post answers both questions in a hands-on way. For more information about setting up a yes, you have to get this new worker running in a separate container (best practice) and configure in the dockerfile, then flower can automatically monitor this task as long as it is being pushed into the same message broker. Jul 31, 2023 · Learn how to implement a straightforward Celery task queue in combination with Flask and Docker. It also gives you the added benefit of predictability, as you can scale the processing power on a per-core basis by incrementing the replica count. Whether you are new to Celery or looking to enhance your Jul 13, 2025 · 🚀 Parallelize Your Workflows with Apache Airflow Distributed Workers+ Docker Modern data workflows often involve multiple steps like data ingestion, transformation, model training, and Workers Guide ¶ Starting the worker Stopping the worker Restarting the worker Automatic re-connection on connection loss to broker Process Signals Variables in file paths Concurrency Remote control Commands Time Limits Rate Limits Max tasks per child setting Max memory per child setting Autoscaling Queues Inspecting workers Additional Commands Writing your own remote control commands Starting celery-multiple-python-versions-containers This is a simple example to demonstrate how to orchestrate Celery tasks across different Python versions using Docker Compose and Poetry. My project uses celery to assign user requests passing to a web framework to diff Explain what Docker Compose is used for and why you may want to use it Use Docker Compose to create and manage Django, Postgres, Redis, and Celery Speed up the development of an application using Docker and Docker Compose Docker Compose Docker Compose is a tool used for defining and running multi-container Docker applications. when new message arrived, there will be one and only one worker could get that message. You'll learn the essentials of Django Celery, explore task producers and consumers, and gain hands-on experience building Docker containers for Django, Redis (the message broker), and Celery workers. cfg to point the executor parameter to CeleryExecutor and provide the related Celery settings. Since then, Celery moved from major… Have single workers for gunicorn and a concurrency of 1 for celery, and scale them using the replicas? (horizontal scaling) Have gunicorn & celery run in a single replica deployment with internal scaling (vertical scaling). For example 3 workers with 10 pool processes each. Have you implemented queue separation? Share your There’s even some evidence to support that having multiple worker instances running, may perform better than having a single worker. This article provides insights into creating an efficient asynchronous task handling system suitable for modern web development. Aug 7, 2023 · Hi folks, I'd like to share my approach to managing Celery queues. I use Docker and docker-compose in local development, and in production I use Ansible to deploy workers across multiple hosts. I am using docker-compose to run multiple celery workers and struggling to make workers use this zeta0/alpine-tor rotating proxy pool image the way I want. Jul 13, 2025 · How to Use Multiple Workers with Airflow 🚀 Parallelize Your Workflows with Apache Airflow Distributed Workers+ Docker Modern data workflows often involve multiple steps like data ingestion … Explain what Docker Compose is used for and why you may want to use it Use Docker Compose to create and manage Flask, Postgres, Redis, and Celery Speed up the development of an application using Docker and Docker Compose Docker Compose Docker Compose is a tool used for defining and running multi-container Docker applications. What is Celery From their documentation: Task queues are used as a mechanism to distribute work across threads or machines. Examples $ # Single worker with explicit name and events enabled. I am running Superset via Docker. I don't receive any emails after. Part 2 will go over deployment using docker-swarm. Learn setup instructions, best practices for scaling, and where to hire expert developers. multi ¶ Start multiple worker instances from the command-line. Dedicated worker processes constantly monitor task queues for new work to perform. yml looks lik CeleryExecutor is one of the ways you can scale out the number of workers. This would mean setting fairly high values of workers & concurrency respectively. It's not a good practice to use celery multi with docker like this because any issue of a single worker may not be reflect to container Hi folks, I'd like to share my approach to managing Celery queues. I'll share how that works here. Jul 28, 2025 · Multiple queues transform Celery from a traffic jam into a well-organized highway system. $ celery multi start Leslie -E $ # Pidfiles and logfiles are stored in the current directory $ # by default. I've configured my docker-compose file Nov 9, 2019 · Multiple celery instances on the same machine Celery is a task queuing app. I know celery can do multiple file. I enabled the Email Report feature and tried it: However, I only receive the test email report. k0xj rp0guq w9gg htkjkh ywyb5 cwm rvgkdo x0suaa lsmp pgx