Celery: an overview and how it works

I don’t know about other programming languages, but if you are using Python or Django, you must have heard about Celery quite a few times, and if not, you better look into it. As stated on the project Celery website:
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
In case of a web service (most common use-case), asynchronous task queues are utilities to push (time-consuming) tasks in background while timely sending back the response for a user request. These delegated tasks can be anything from sending few notifications, dispatching emails, update system logs, or update internal ERP. Having the aforementioned tasks in line with the request processing, can delay the response back to the user to a large extent.

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Rabbitmq Cluster on CentOS 7

Step 0. Prelimenaries

Run yum update

$ sudo yum update

Stop the firewall

To make the ports accessible i.e. for clustering nodes use 5672, 4369, and 25672.
$ sudo systemclt stop firewall-cmd

Disable SELinux

$ sudo setenforce 0
The above command will disable SELinux for the session i.e. until next reboot – to permanently disable it set SELINUX=disabled in /etc/selinux/config file.

Set host names

Doing so later will most probably break the installation.
We’ll name the nodes/VMs as rabbit1 ( and rabbit2 ( – the default is localhost.

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