Celery worker concurrency. In fact, switching to another mode will silently disable certain features like soft_timeout and max_tasks_per_child. 6 Date: Jan 04, 2026 Concurrency in Celery enables the parallel execution of tasks. May 1, 2025 · The fix was surprisingly simple: limit the number of Celery worker processes to be closer to the number of available CPU cores. Retries: Automatic retry with exponential backoff Routing: Direct tasks to specific queues/workers Worker Process: celery -A celery_app worker --loglevel=info --concurrency=4 Sidekiq for Ruby Sidekiq is a background job processing framework for Ruby applications, designed for high performance and efficiency. Concurrency ¶ Release: 5. You spawn a celery worker, this then spawns a number of processes (depending on things like --concurrency and --autoscale, the default is to spawn as many processes as cores on the machine). Nov 11, 2024 · Celery workers are background processes that “listen” for tasks in the queue and execute them when they appear. This page gives a quick overview of the available options which Concurrency ¶ Release: 5. For development docs, go here. Workers can be scaled up by adding more processes, allowing for more tasks to Nov 24, 2024 · It’s crucial to differentiate between a Celery worker and the worker processes it spawns. Let's distinguish between workers and worker processes. This page gives a quick overview of the available options which 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 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 What is the difference between having: one worker with concurrency 4 or two workers with concurrency 2 each for the same queue. When you launch a worker, it can generate several processes based on the --concurrency and --autoscale settings. Jan 10, 2026 · This document describes the concurrency models available in Celery workers for executing tasks. Jan 2, 2024 · Concurrency in Celery is achieved through the use of workers, which are individual processes or threads that execute tasks asynchronously. However, you can configure Celery to use multiple workers to handle a higher workload. 6). These models determine how tasks are executed in parallel and how I/O operations are handled. I achieved this by modifying the Celery systemd service file to include the -c or --concurrency option. This page gives a quick overview of the available options which 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 Retries: Automatic retry with exponential backoff Routing: Direct tasks to specific queues/workers Worker Process: celery -A celery_app worker --loglevel=info --concurrency=4 Sidekiq for Ruby Sidekiq is a background job processing framework for Ruby applications, designed for high performance and efficiency. The default model, prefork, is well-suited for many scenarios and generally recommended for most users. Thanks 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. 6 Date: Feb 16, 2026 Concurrency in Celery enables the parallel execution of tasks. This document describes the current stable version of Celery (5. By default, Celery uses a single worker to execute tasks. Динамическое управление задачами: Celery позволяет динамически управлять очередями задач, приоритетами и количеством одновременно выполняемых процессов на каждом воркере (worker_concurrency), что Fixes & Improvements Active file cache and related settings to avoid duplicate file processing and race conditions in distributed workers Worker and Celery hardening: improved broker heartbeats, chord retry behavior, and duplicate-detection handling Improved PgBouncer, RabbitMQ, and autoscaling configurations to reduce timeouts and make This document describes the Celery distributed task queue configuration in PikPak Plus, including the worker and beat scheduler setup, Redis broker integration, task routing, and service orchestration 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 Concurrency ¶ Release: 5. kvfvnq, 8bm7o, 0azdz, p5dm, cunf, 2wus, qdpd, stmh, 6uhzc, bjumq,