For one of our projects (ZooDB) we recently ran into a problem when adding new Python libraries to our dependencies, as several of the libraries required build tools in their installation. These tools were not available in the application’s base image nor were they installed as part of the build, so they had to be added. Here we look at what can be involved in building such a container.
It is common and considered good pratice for applications to be containerized in production environments. Conterization allows apps to run in a separate environment from the host machine, which results in performance reliability, to implement multiple micro services that work closely with each other, and to be shipped with ease. In this article, Archie will show a surface-level way of how a Django application can be containerized with Docker.