Ensure that you have a working version of docker on your machine. Installation instructions for all major platforms can be found on the docker website.
You should be able to execute docker --version and see something like Docker version 1.10.3, build 20f81dd
If you are on linux, installation is very straight forward as docker takes advantage of the host's native kernel
If you are on Mac or Windows, you will need to use the docker-machine tools provided in the installation to run docker on a virtual machine. This is somewhat seamless, just follow the tutorials
create docker machine named dev:
docker-machine create -d virtualbox dev
start docker machine named dev:
docker-machine start dev
stop docker machine named dev:
docker-machine stop dev
Take a look at the Hello World tutorial on docker.com
See what docker ps, docker logs, and docker stop do...
You can view the presentation in Presentation.ipynb
We'll be using the repos:
Don't worry too much about what is in these repos just yet, but some familiarity will help.
If docker is properly installed, the workflow below will work
git clone https://github.com/mconley-kaizen/dockerapp.git
cd dockerapp
docker build -t mydockerapp .
cd ..
git clone https://github.com/mconley-kaizen/deploy.git
cd deploy
source launch.sh
deploy 5000 iris_prediction mydockerappIf executed correctly, there should be a webapp running on port 5000 of your docker network. If you are on linux, your docker network will be your host computer. If you are using docker-machine, the command docker-machine ip $"machine" will return your docker network, ie: chrome $(docker-machine ip):5000