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I can see that having two instances of celery beat running on the same host would be useful for testing failover between them, but for real redundancy you probably want celery beat running on multiple hosts. celerybeat - multiple instances & monitoring, To answer your 2 questions: If you run several celerybeat instances you get duplicated tasks, so afaik you should have only single celerybeat You may run multiple instances of celery beat and tasks will not be duplicated. RedBeat uses a distributed lock to prevent multiple instances running. Original celery beat doesn't support multiple node deployment, multiple beat will send multiple tasks and make worker duplicate execution, celerybeat-redis use a redis lock to deal with it. Running multiple `celerybeat` instances results multiple scheduled tasks queuing. Set your python path with the source or you can just install in editable mode using. pip install celery-redbeat. Retrieve task result by id in Celery. To disable this feature, set: redbeat_lock_key = None. celery multi [OPTIONS] ... Start shell session with convenient access to celery symbols. By default `redis` backend used, but developers are free too use their own based on package primitives. It works using AsyncResult. Configure RedBeat settings in your Celery configuration file: redbeat_redis_url = "redis://localhost:6379/1" Then specify the scheduler when running Celery Beat: celery beat -S redbeat.RedBeatScheduler. pip install -e . class celery.beat.Scheduler (app, schedule = None, max_interval = None, Producer = None, lazy = False, sync_every_tasks = None, ** kwargs) [source] ¶ Scheduler for periodic tasks. Take a look at the celery.beat.Scheduler class, specifically the reserve() function. $ celery beat -S celerybeatredis.schedulers.RedisScheduler Configuration Celery beat multiple instances. - chord, group, chain, chunks, CHAPTER 2 Configuration Support multiple instance by Active-Standby model ( not tested) Installation. and specify the scheduler when running Celery Beat, e.g. RedBeat uses a distributed lock to prevent multiple instances running. celery beat [OPTIONS] Options ... Start multiple worker instances. # Installation ```#bash pip install celery-redundant-scheduler 5.Prevent accidentally running multiple Beat servers 1.2Getting Started Install with pip: pip install celery-redbeat ... You can also quickly fire up a sample Beat instance with: celery beat--config exampleconf 2 Chapter 1. celery. Introduction. This package provides synchronized scheduler class. Then specify the scheduler when running Celery Beat: celery beat -S redbeat.RedBeatScheduler. 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