"Bitbucket Pipelines and Ansible: Continuous delivery for your Django project" was originally published as a guest post on Bitbucket Blog. Introduction Ansible is a powerful tool for the automation of your server administration. It can be used both to install…
In this post I will guide you in a very interesting and funny development task: automate your Telegram channel with a Django Telegram Bot. Telegram is a popular instant messaging application. It's not as widespread as Whatsapp, but its user…
In this blog post I will guide you to implement Django asynchronous tasks without Celery. First of all I will define what I mean with the term "asynchronous task". What are Django asynchronous tasks? Suppose that you want to perform…
Django – NGINX is a popular and well tested combination used to deploy web applications in production. In this post I will explain the steps needed to have your Django project deployed on a production server using Ubuntu 18.04.
To have Django – NGINX deployed on your production server follow these simple steps.
Suppose you need to write down your model fields on an Excel file, for example to complement the documentation of your code.
Django has built in functions to introspect models and fields of an app, and you can leverage this API to have the information you need.
Say you have a Django web application that you want to integrate with emails to make it possibile to send data and files to your web application over SMTP.
The good news is that Python has a simple SMTP daemon in the standard library, together with modules to parse emails. Let’s see how to create a simple email gateway on top of these tools.
In this tutorial I will explain how to deploy a Django project in 15 minutes with Ansible. I will assume that you are a Django developer and you have built and tested a project locally. It’s time to deploy the project on a public server to let users access your awesome application.
If you are new in deploying Django on a production server you can read my post Django – NGINX: deploy your Django project on a production server to have a basic introduction on the steps needed.
So you need a VPS with an SSH access, then you will access the server, install and configure all necessary software (web server, application server, database server), create a database user, configure Django to use it, copy your Django project on the server, migrate the database, collect static files, trial and error, fix, trial and error, …
All this boring stuff will take some good hours that you should definitely spend in a more profitable way, don’t you think? The good news is that you can automate almost all the work needed to go from a vanilla VPS to a fully deployed server hosting your Django project.
Follow this tutorial and I’ll show you how to leverage the power of Ansible to automate all the needed steps in 15 minutes. Are you ready? Check the time on your clock and follow me!
Recently I had some fun with Heroku, the well known PaaS provider. I had a small personal Django project I use for invoicing that I ran locally with ./manage.py runserver when needed. That was a perfect candidate for the Heroku free plan because I need to access the app only occasionally.
During the development of a Django model on your local machine is it often necessary to refine the most recent migration to cope with updates to the model, without polluting the migrations of the app with a new migration for each local update.
South had the update flag for the schemamigration command, but I didn’t find a similar functionality in the Django builtin makemigrations command introduced in Django 1.7.
So I put togheter a simple bash script to automate the process.
Recently I had a problem of memory usage in Django: when I accessed an apparently innocent view I saw the memory usage of my server grow without rest. The problem turned out to be very trivial to solve, but I think the process I used to find the leak is worth a blog post. 😉