Wanted to show more of the magic that’s going on behind the scenes in Cassandra in a Container on OSX. The domain specific shell here is doing a bit of remembering for you: 1. It is remembering the location of containers in your project directory 2. Finding DockerFiles recursively within that directory and makes them avail. with choose 3. When the container is “run”, av remembers the container-id that was started
Getting Your Laptop Setup Let’s get Cassandra running, using containers to keep the runtime environment similar to what it would be in production. We are focusing on OSX only and will use a few tools that are freely available to make it all work. Install Brew Install CaskRoom brew tap caskroom/cask Install Docker Toolbox but with brew/caskroom brew cask install dockertoolbox Install cqlsh so you can mess with Cassandra brew install python && pip install cql 5.
I’ve been grappling with this project for years now and figured I would share the progress so far. We will leverage this work as we tackle Deep Learning over the course of 2016. Ever have a project with stuff everywhere? Some java stuff, a go application that was hacked up on a half-day, some mysql shortcut commands in the readme, a superfast CUDA library with test apps, etc… all in one git repo?