Let's ship your running code with Docker - Vincent Batts (Room 224)

What is docker and how can it help me?

Linux containers are self-sufficient ways to deploy applications. From testing,
developing or running applications at scale. Come for a hands on workshop of
learning how to leverage this technology for enabling a more robust continuous
integration, developing across a diverse landscape of distributions.
We'll go over the fundamentals:

* building an image for your application (if you're not a developer, that is ok :-)
* wiring up that image for your use case
* shipping that image (or even publishing it for others)

Feel free to bring your questions on docker based solutions!
------------------------


Ideas:
* demo basics
* demo dev environment
* demo a running product



Tooling around automating incremental builds
* https://github.com/pmorie/go-sti
provided two hook/commands are supplied:
* prepare
* run



Demo!
=====
# window 1
mkdir -p ~/db
docker run -i -t --name mongod -v $HOME/db:/data/db -p 127.0.0.1:27017:27017 vbatts/mongod

# window 2
cd ~/images/m
cat Dockerfile
docker run -it --link mongod:db m

# window 3
mongo
> db.folks.find().count()

# window 2
cd ~/images/m
./m

# window 1
^c
docker rm $(docker ps -a -q)
docker run -i -t --name mongod -v $HOME/db:/data/db -p 127.0.0.1:27017:27017 vbatts/mongod

# window 3
mongo
> db.folks.find().count()

# window 4
cd ~/images/mongo
cat Dockerfile
docker run -it --link mongod:db vbatts/mongo



TODO
====
* get the mongo image running
* make a simple app using mongo / mongo shell to show the data persist, despite the container