There are only two prerequisites:
docker-compose up --build -ddocker-compose downWhen running containers with detached mode (-d) they work in the background thus you can't see the flowing logs. If you want to check compose logs with cli you can use logs.
docker-compose logs --tail 50There is a single endpoint for the prediction. You can find the endpoint in the endpoints.py file. It takes a json input and returns a prediction as a json response.
Prometheus is used for monitoring. You can find the prometheus config in the monitoring/prometheus.yml file. It scrapes the metrics from the API container.
Grafana is used for visualization. You can find the dashboard in the provisioning/dashboards/dashboard.json file. It visualizes the metrics from the prometheus.
Graphana login credentials: user: admin password: pass
- FastAPI: http://localhost:8000
- Prometheus: http://localhost:9090
- Grafana: http://localhost:3000
Click to hide/unhide the folder structure.
├── api.py
├── data
│ └── loan_approval_dataset.csv
├── docker-compose.yml
├── load_test
│ ├── data.py
│ └── locustfile.py
├── ml_engineer_case.pdf
├── model
│ └── model.txt
├── monitoring
│ ├── config.monitoring
│ └── prometheus.yml
├── notebooks
│ ├── eda.ipynb
│ ├── modelling.ipynb
│ └── test.ipynb
├── provisioning
│ ├── dashboards
│ │ ├── dashboard.json
│ │ └── dashboard.yaml
│ └── datasources
│ └── datasource.yml
├── readme.md
├── requirements.txt
├── src
│ ├── Dockerfile.app
│ ├── config.py
│ ├── datamodel.py
│ ├── endpoints.py
│ └── utils.py
└── tests
├── __init__.py
├── pytest.ini
└── test_main.py
