![]() ![]() Now to remember to restart them each separately whenever you pull any new changes from the production branch to your server gets too tedious. In a complex web app architecture, you're not going to be running just a single web server, you might be running additional services for things such as Asynchronous Task Queue such as Celery, and a Task Scheduler like Celery Beat and a database server.Your web app stops running because of it, you would have preferred if your web app started automatically with your server. You are running a web app, and due to some maintenance downtime on your VPS provider, your server gets restarted.Let me tell you examples of use cases where you might need them: The technology that I am talking about is process monitors. Today, I want to cover an important thing that you'll definitely need while setting up your servers, but wouldn't realize that you actually need it. In the last post, we discussed how to configure and run NGINX as reverse proxy in front of gunicorn workers, and to also serve static files. Let's say I have a Django app that is and online store which has a Discount model.This is the third and the last post in the series, where we configure our django application to run in production. You can check out the full code on GitHub. I've created a worked example to try to give you the full picture. The Django-Q installation docs are reasonably good, but if you're new to programming you might struggle to put all the pieces together. If you find that you need to use a different broker later on, then you can swap out the database for something else. Django-Q can use just your existing database as a broker, which means you don't have to set up any new infrastructure. ![]() It's simpler to set up and run in production than Celery, and it is perfectly fine for basic scheduling tasks. I think the best solution for beginners is Django-Q. You will need to install and run a program like Redis or RabbitMQ to run Celery, which makes getting started more complciated, and gives you more infrastructure to worry about. The biggest stumbling block is that Celery requires that you set up some kind of " broker", which is a program which keeps track of all the tasks that need to be done. ![]() If you happen to need Celery, then it's well worth the effort, but I believe that it's overkill for most people. Do I need that? Celery is intimidating for beginners, and it happens to be pain in the ass to set up. It is focused on real-time operation, but supports scheduling as well.Īsynchronous what? Distributed? Sounds complicated. If you look at Celery's website:Ĭelery is an asynchronous task queue/job queue based on distributed message passing. When you ask around online for help with setting up a scheduler in Django, people will often point you to Celery. If you're running a backend web service, you will need to do something like this eventually. Regularly scrape a website and store the results in the database.There are a lot of reasons you might want to run code on a schedule. How do you run some code once a day in Django, or every hour? This post will explain how to set up scheduled code execution in Django using Django-Q.
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