Docker Compose¶

The development ecosystem for this application, can be run via docker-compose. This allows various respective docker containers, to be managed consistently. However, before proceeding, it is important to follow the docker , and docker-compose installation guide.

Once docker-compose has installed, simply run docker-compose up:

cd /path/to/machine-learning
docker-compose up

This will allow the web-application to be accessible on the host machine, via https://localhost:8080. Similarly, the programmatic-api will be accessible at https://localhost:9090. However, since this project assumes rancher as the primary method to deploy, and run the application, it will be important to remember when reading through this documentation, to substitute the localhost, or the https://127.0.0.1:XXXX address, in place of the https://192.168.99.101:XXXX endpoint. This will allow users to perform the same tasks outlined throughout this documentation.