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A review of Ghostwriter's technology stack
Everything runs inside of a Docker container, with Docker Compose, for simple deployment and code updates.
Ghostwriter uses the Docker Python3.8-Alpine image, a barebones image with Python 3.8 only the most necessary Python libraries.
Docker Compose handles all of the dependencies, so nothing needs to be installed on the host except Docker.
Anatomy of the Docker Container for Ghostwriter
The application uses a PostgreSQL backend that Django natively supports. However, should users desire to switch to a different type of backend, the Django
settings.pycan be updated to use SQLite, Oracle, or MySQL without any additional libraries.
Django makes it easy to modify the Ghostwriter database models as well. Migrations are usually smooth and trouble-free, especially if you are customizing the models prior to using Ghostwriter in production.
Trying to move code updates to a production server can be messy when migrations fail unexpectedly. This is a key reason Ghostwriter ships as a Docker container application. Docker makes it simpler to deploy a fresh server with existing data when code updates are ready to be deployed.
Finally, Django Q and Redis handle automated queue management processing (AQMP). Ghostwriter automates a number of things like updating domain categorization data and DNS records. These tasks are handed off to Redis for background processing.