Capistrano for Python
In the Python world, Fabric seems like the de facto method for deploying code. At its core, though, Fabric is just a way to streamline the use of SSH, much like Ruby’s SSHKit. Reliable deployments, however, typically involve more than just running a few commands on a remote server. For instance, Ruby’s Capistrano builds on it’s underlying ssh library SSHKit and provides a lot of useful functionality, like:
- the ability to inject tasks in a dependency chain (before you run
TaskA, always run
- configuration variables with values that are role specific, where each server has one or more roles
- configuration values that are evaluated at run time (i.e., the ability to have values that are
- the ability to define a sane flow convention for deployment and then give people the ability to override/inject only what they need. Convention over configuration!
I feel like there should be a way to reliably do these things, and Fabric isn’t enough. So I made a project called Fake - for Fabric + Make (in the same way that Rake is Ruby + Make). It includes all of this functionality, including Capistrano’s default deploy tasks for reliable code checkouts (and super fast rollbacks!).
Check it out at https://github.com/bmuller/fake for documentation and examples.