> The simplest way to do this is to use Docker with a base image that mimics the target system, and performs all necessary steps in one go. Or better yet, run

> The simplest way to do this is to use Docker with a base image that mimics the target system, and performs all necessary steps in one go. Or better yet, run all your code in docker containers so you can run arbitrary slices of your production environment on your local machine. You’ll eventually hit some host-OS network issue where you need to inspect the machine that’s running your containers, but for artifacts/RPMs as described in this doc you should be able to do everything locally.