A Twitter clone made for the DevOps course at the IT University of Copenhagen. Over the course of the project, we took a barebones Python web application and both refactored it in a different language (C# with ASP.NET Core) and added many useful DevOps related features and practices.
This project is:
- Containerized using the Docker ecosystem, for easy deployment and scalability.
- Continuously integrated using GitHub Actions, with automatic unit testing, system testing, code linting, static analysis and coverage reporting.
- Continuously delivered with automatic GitHub releases.
- Continuously deployed on DigitalOcean.
- Fully logged using SeriLog, ElasticSearch and Kibana, ensuring scalable and easily accessible logging.
- Performance monitored with Prometheus and Grafana, with a nice developer dashboard.
To deploy on a production node, simply clone this repository to the node and run the following two commands:
sudo ./install.sh
./deploy.sh
The scripts should install all dependencies
This system works on Ubuntu 18.04 LTS, with docker and docker-compose as direct dependencies, and node_exporter as an optional dependency.
On a production environment, the environment variable MINITWIT_ENV has to be set to production to ensure the scripts run with the correct production variables.
On the production environment, simply run
./deploy.sh
to automatically spin up the docker containers for every part.
This uses a special docker-compose script (./doc.sh) to inject proper environment variables and run the docker containers properly.