What is Celery?
Turkish: Celery
Celery is a Python task queue for running email, report, integration, and other long-running work asynchronously outside web requests.
What is Celery?
Celery is a distributed task queue used in Python applications to run long-running or background work outside the web request cycle. Instead of generating a report, sending email, or waiting on an external API inside a user request, the application queues a task and workers process it separately.
In a Celery setup, the application publishes a task, the broker transports the message, workers execute the task, and an optional result backend stores the outcome. RabbitMQ and Redis are common brokers. Celery Beat is used to schedule periodic jobs.
Where Is It Used?
Email delivery, invoice PDF generation, image processing, inventory synchronization, CRM integration, data imports, and report preparation are common Celery use cases. The user does not need to wait on the web page while the background job completes.
Tasks should be designed to be idempotent because retries can run the same job more than once. Timeouts, error handling, dead-letter behavior, monitoring, and worker capacity need production planning.
Celery is a mature choice in the Python ecosystem. Message brokers such as RabbitMQ are central to moving tasks reliably between application and workers.