In the last two blog posts of this series we discussed how to set up a local VM-based development environment for a cloud application, and then built a Flask-RESTful app within this environment. Today, we’ll take our app to AWS, and we’ll set up a remote development environment. The environment we’ll describe here is configured for development, not production. If you’re interested in seeing how to prepare this application for production, let me know in the comments! This blog post was written on Ubuntu; it should work as well on macOS. There are some difficulties on Windows with the SSH config

In the previous blog post in this series, I created a Vagrant VM and provisioned it with Ansible for Python development. In this part, we’ll have a look at a larger application which is configured in the same way. In this post, I’ll introduce an application that I’ll be using for more blog posts in the future, so let me know in the comments if you have any cool ideas about what can be done to make this application better. We’ll use the following: Flask Flask-RESTful PostgreSQL, and pgmigrate for migrations The Ubuntu, Vagrant, Ansible stack introduced in the blog post last we

Last week we created a script that records ping times on a regular basis. We developed the script remotely on a Raspberry Pi, and then added it to Cron to make sure that times are recorded every 5 minutes into a PostgreSQL database. This week we’ll work on visualizing the data we’ve recorded. For this we’ll create a basic Flask app where we use Matplotlib to create a graph. Furthermore, we’ll take a look at some cool PostgreSQL features. Let’s see some results It’s no good to just record pings if we can’t see some statistics about them, so let’s write a small Flask app, and use matplotlib to d

This tutorial continues where the previous Docker-Compose tutorial left off. If you haven't read it yet, read about getting Docker-Compose and Flask running in PyCharm first. Like the first tutorial, this one was made on macOS, and although Linux should be similar there may be small differences. For details on using Docker Compose on Windows, see our blog post on using Compose on Windows. We'll continue by making a Flask version of the hottest web app from the 90s, a guest book: If you'd like to play along at home, or just have a look at the full code. You can find the code on GitHub