pip install -e . and specify the scheduler when running Celery Beat, e.g. class celery.beat.Scheduler (app, schedule = None, max_interval = None, Producer = None, lazy = False, sync_every_tasks = None, ** kwargs) [source] ¶ Scheduler for periodic tasks. Set your python path with the source or you can just install in editable mode using. By default `redis` backend used, but developers are free too use their own based on package primitives. Then specify the scheduler when running Celery Beat: celery beat -S redbeat.RedBeatScheduler. celery multi [OPTIONS] ... Start shell session with convenient access to celery symbols. Retrieve task result by id in Celery. Take a look at the celery.beat.Scheduler class, specifically the reserve() function. 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. Celery beat multiple instances. 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. 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. celery. Support multiple instance by Active-Standby model ( not tested) Installation. Introduction. - chord, group, chain, chunks, RedBeat uses a distributed lock to prevent multiple instances running. The celery beat program may instantiate this class multiple times for introspection purposes, but then with the lazy argument set. pip install celery-redbeat. The following symbols will be added to the main globals: - celery: the current application. This package provides synchronized scheduler class. CHAPTER 2 Configuration 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. RedBeat uses a distributed lock to prevent multiple instances running. celery beat [OPTIONS] Options ... Start multiple worker instances. $ celery -A proj worker --loglevel=INFO --concurrency=2 In the above example there's one worker which will be able to spawn 2 child processes. 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. $ celery beat -S celerybeatredis.schedulers.RedisScheduler Configuration Running multiple `celerybeat` instances results multiple scheduled tasks queuing. To disable this feature, set: redbeat_lock_key = None. It works using AsyncResult. # Installation ```#bash pip install celery-redundant-scheduler