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From https://medium.com/@taylorhughes/three-quick-tips-from-two-years-with-celery-c05ff9d7f9eb > By default, preforking Celery workers distribute tasks to their worker processes as soon as they are received, regardless of whether the process is currently busy with other tasks. > If you have a set of tasks that take varying amounts of time to complete — either deliberately or due to unpredictable network conditions, etc. — this will cause unexpected delays in total execution time for tasks in the queue. This is 100% the case for us. This should "load balance" the tasks better across workers. |
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| .. | ||
| check-typescript-strict | ||
| component-test-runner | ||
| docker | ||
| docker-backend | ||
| docker-dev | ||
| docker-dev-web | ||
| docker-frontend | ||
| docker-migrate | ||
| docker-server | ||
| docker-worker | ||
| docker-worker-beat | ||
| docker-worker-celery | ||
| e2e-test-runner | ||
| install-macosx_arm64 | ||
| plugin-server | ||
| pull_production_db | ||
| start | ||
| start-backend | ||
| start-frontend | ||
| start-frontend-https | ||
| start-https | ||
| start-worker | ||
| tests | ||