flower - Online in the Cloud

PROGRAM:

NAME

flower - flower Documentation

SYNOPSIS

flower [OPTIONS]

DESCRIPTION

Flower is a web based tool for monitoring and administrating Celery clusters. It has
these features:

· 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

OPTIONS

--address
run on the given address

--auth regexp of emails to grant access

--basic_auth
colon separated user-password to enable basic auth

--broker_api
inspect broker e.g. http://guest:guest@localhost:15672/api/

--certfile
path to SSL certificate file

--db flower database file (default flower.db)

--debug
run in debug mode (default False)

--help show this help information

--inspect
inspect workers (default True)

--inspect_timeout
inspect timeout (in milliseconds) (default 1000)

--keyfile
path to SSL key file

--max_tasks
maximum number of tasks to keep in memory (default 10000)

--persistent
enable persistent mode (default False)

--port run on the given port (default 5555)

--url_prefix
base url prefix

--xheaders
enable support for the 'X-Real-Ip' and 'X-Scheme' headers. (default False)

TORNADO OPTIONS

--log_file_max_size
max size of log files before rollover (default 100000000)

--log_file_num_backups
number of log files to keep (default 10)

--log_file_prefix=PATH
Path prefix for log files. Note that if you are running multiple tornado
processes, log_file_prefix must be different for each of them (e.g. include the
port number)

--log_to_stderr
Send log output to stderr (colorized if possible). By default use stderr if
--log_file_prefix is not set and no other logging is configured.

--logging=debug|info|warning|error|none
Set the Python log level. If none, tornado won't touch the logging
configuration. (default info)

USAGE

Launch the server and open http://localhost:5555:

$ flower -A proj --port=5555

Or, launch from Celery:

$ celery flower -A proj --address=127.0.0.1 --port=5555

Broker URL and other configuration options can be passed through the standard Celery
options:

$ celery flower -A proj --broker=amqp://guest:guest@localhost:5672//

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