Flower is a web based tool for monitoring and administrating Celery clusters.
Real-time monitoring using Celery Events
- Task progress and history
- Ability to show task details (arguments, start time, runtime, and more)
- Graphs and statistics
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
- Configuration viewer
- Revoke or terminate tasks
Broker monitoring
- View statistics for all Celery queues
- Queue length graphs
HTTP API
Basic Auth, Google, Github, Gitlab and Okta OAuth
Prometheus integration
Installing flower with pip is simple
$ pip install flower
Development version can be installed with
$ pip install https://github.com/mher/flower/zipball/master#egg=flower
Important Please note that from version 1.0.1 Flower uses Celery 5 and has to be invoked in the same style as celery commands do.
The key takeaway here is that the Celery app's arguments have to be specified after the celery command and Flower's arguments have to be specified after the flower sub-command.
This is the template to follow:
celery [celery args] flower [flower args]
Core Celery args that you may want to set:
-A, --app -b, --broker --result-backend
More info on available Celery command args.
For Flower command args see here.
Launch the Flower server at specified port other than default 5555 (open the UI at http://localhost:5566):
$ celery flower --port=5566
Specify Celery application path with address and port for Flower:
$ celery -A proj flower --address=127.0.0.6 --port=5566
Launch using docker:
$ docker run -p 5555:5555 mher/flower
Launch with unix socket file:
$ celery flower --unix-socket=/tmp/flower.sock
Broker URL and other configuration options can be passed through the standard Celery options (notice that they are after Celery command and before Flower sub-command):
$ celery -A proj --broker=amqp://guest:guest@localhost:5672// flower
Flower API enables to manage the cluster via 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 checkout API Reference and examples.
Documentation is available at Read the Docs and IPython Notebook Viewer
Flower is licensed under BSD 3-Clause License. See the LICENSE file in the top distribution directory for the full license text.