postgresql

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

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 mak

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

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