Celery Flower to monitor task queue

Reading Time : ~ .

Celery is a task queue that is to built an asynchronous message passing system. It can be used as a bucket where programming tasks can be dumped. The program that passed the task can continue to execute and function responsively.

To monitor the status of these celery tasks we use celery flower

The Celery Flower is a tool for monitoring your celery tasks and workers. It's web based and allows you to see task progress, details, worker status.

Install flower with pip

pip install flower

Install RabbitMQ

Celery requires a messaging agent in order to handle requests from an external source. This agent is referred to as a "broker".

RabbitMQ is the messaging server which powers this service. RabbitMQ does the following:

  • Listens for messages sent via the AMQP protocol.
  • Stores these messages in one or more queues.
  • Releases these messages to workers for consumption and processing.

RabbitMQ does not actually execute tasks. Rather, it is the mechanism by which tasks (“messages”) will be sent between instances and stored until executed.

Install rabbitmq using

sudo apt-get install rabbitmq-server

 

Add broker_api url in your settings.py

RabbitMQ management api

broker_api = 'http://guest:guest@localhost:15672/api/'

# Enable debug logging

logging = 'DEBUG'

We need to configure RabbitMQ for message broker services before running the celery. Once the RabbitMQ is successfully started it can be checked using the web UI located at:

http://localhost:15672/

Usage

Once the Celery Flower is successfully started you can check using the web UI located at:

http://localhost:5555

Launch the server

$ flower --port=5555

Launch from celery

$ celery flower -A proj --address=127.0.0.1 --port=5555
    By Posted On
SENIOR DEVELOPER at MICROPYRAMID

Need any Help in your Project?Let's Talk

Latest Comments
Related Articles
Django Raw Sql Queries Vamsi Popuri

When your model query API don't go well or you want more performance, you can use raw sql queries in django. The Django Object Relational ...

Continue Reading...
Django efficient implementation of Amazon s3 and Cloudfront CDN for faster loading. Chaitanya Kattineni

Django by default to store the files in your local file system. To make your files load quickly and secure we need to go for ...

Continue Reading...
Integrate Django-Oscar-Accounts with Django-Oscar Shirisha Gaddi

This package uses double-entry bookkeeping where every transaction is recorded twice (once for the source and once for the destination). This ensures the books always ...

Continue Reading...

Subscribe To our news letter

Subscribe to our news letter to receive latest blog posts into your inbox. Please fill your email address in the below form.
*We don't provide your email contact details to any third parties