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 and Google OpenID authentication
Flower API enables to manage the cluster via REST api, call tasks and receive task events in real-time via WebSockets.
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
Or receive task completion events in real-time: :
var ws = new WebSocket('ws://localhost:5555/api/task/events/task-succeeded/');
ws.onmessage = function (event) {
console.log(event.data);
}
See detailed API documentation here.
To install, simply: :
$ pip install flower
Launch the server and open http://localhost:5555: :
$ flower --port=5555
Or launch from celery: :
$ celery flower --address=127.0.0.1 --port=5555
Broker URL and other configuration options can be passed through the standard Celery options: :
$ celery flower --broker=amqp://guest:guest@localhost:5672//
Documentation is available at Github Wiki and IPython Notebook Viewer
More screenshots
Please head over to #celery IRC channel on irc.freenode.net or open an issue.