Celery-Kubernetes-Operator
An operator to manage celery clusters on Kubernetes (Work in Progress) (by celery)
flower
Real-time monitor and web admin for Celery distributed task queue (by mher)
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| Celery-Kubernetes-Operator | flower | |
|---|---|---|
| 1 | 3 | |
| 78 | 6,158 | |
| - | - | |
| 3.6 | 7.7 | |
| 5 months ago | about 12 hours ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Celery-Kubernetes-Operator
Posts with mentions or reviews of Celery-Kubernetes-Operator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-15.
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Help: from Docker-Compose to Production (EC2, ECS, EKR)
The take-out from that course is: don't deploy anything stateful on Kubernetes in production, period. Even disregarding that, don't deploy anything stateful that doesn't come in a form of an operator. For celery, https://github.com/celery/Celery-Kubernetes-Operator is a WIP, so obviously not suitable for anything.
flower
Posts with mentions or reviews of flower.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-04.
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Scaling Celery to handle workflows and multiple queues
Use flower to monitor workers and tasks.
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Python Celery - high level overview(animated video)
Not sure what your criteria for good observability ist, but flower served me well enough for this in the last couple of years.
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
What are some alternatives?
When comparing Celery-Kubernetes-Operator and flower you can also consider the following projects:
flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
django-suit - Modern theme for Django admin interface