- Notifications
You must be signed in to change notification settings - Fork1.1k
Real-time monitor and web admin for Celery distributed task queue
License
mher/flower
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
Flower is an open-source web application for monitoring and managing Celery clusters.It provides real-time information about the status of Celery workers and tasks.
- Real-time monitoring using Celery Events
- View task progress and history
- View task details (arguments, start time, runtime, and more)
- Remote Control
- View worker status and statistics
- Shutdown and restart worker instances
- Control worker pool size and autoscale settings
- View and modify the queues a worker instance consumes from
- View currently running tasks
- View scheduled tasks (ETA/countdown)
- View reserved and revoked tasks
- Apply time and rate limits
- Revoke or terminate tasks
- Broker monitoring
- View statistics for all Celery queues
- HTTP Basic Auth, Google, Github, Gitlab and Okta OAuth
- Prometheus integration
- API
Installing flower withpip is simple
$ pip install flower
The development version can be installed from Github
$ pip install https://github.com/mher/flower/zipball/master#egg=flower
To run Flower, you need to provide the broker URL
$ celery --broker=amqp://guest:guest@localhost:5672// flower
Or use the configuration ofcelery application
$ celery -A tasks.app flower
By default, flower runs on port 5555, which can be modified with the port option
$ celery -A tasks.app flower --port=5001
You can also run Flower using the docker image
$ docker run -v examples:/data -p 5555:5555 mher/flower celery --app=tasks.app flower
In this example, Flower is using the tasks.app defined in theexamples/tasks.py file
Flower API enables to manage the cluster via HTTP REST API.
For example you can restart worker's pool by:
$ curl -X POST http://localhost:5555/api/worker/pool/restart/myworker
Or call a task by:
$ curl -X POST -d '{"args":[1,2]}' http://localhost:5555/api/task/async-apply/tasks.add
Or terminate executing task by:
$ curl -X POST -d 'terminate=True' http://localhost:5555/api/task/revoke/8a4da87b-e12b-4547-b89a-e92e4d1f8efd
For more info checkoutAPI Reference
Documentation is available atRead the Docs
Flower is licensed under BSD 3-Clause License.See theLicense file for the full license text.
About
Real-time monitor and web admin for Celery distributed task queue