How can I optimize the performance of Django with Celery?
To optimize Django with Celery, consider using task prioritization, result backends, and optimizing your worker settings.
What are some best practices for configuring Celery workers?
Best practices include setting the concurrency level based on your server's CPU, using dedicated queues, and monitoring task performance.
Can you explain how to use result backends effectively?
Using result backends allows you to store the results of tasks. Redis or RabbitMQ are popular choices for fast access.
What tools can I use to monitor Celery tasks?
You can use Flower, Celery's built-in monitoring tool, or integrate with tools like Prometheus and Grafana for advanced monitoring.
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