Many operations teams feel the need to gain Docker experience, but are struggling to conceptualize how this can be done in a low risk way. Further, they must do this in an often hectic work environment that is not conducive to learning a completely new operational paradigm.

The talk first covers the identification of a low risk, high value "sandbox" where an application can be deployed to production in Docker containers. Key points will be around identifying metrics for measuring success and learning. This will be about 15 minutes.

We will then move on to what a _minimum_ viable production environment might look like. This will include log aggregation, monitoring, a private registry, service discovery and scheduling. In the end, a small python/redis app will run in production. Time permitting a Docker Dev Environment will be demonstrated.