Scaling a project to a worldwide scale with the same performance and availability in every region using Python isn’t easy, but with the right mindset and tools it’s a very viable target. We will discuss methods of delivering software, with automated scaling systems, building units out of your project to manage separately and how to reliably and securely distribute data to separate clusters, and how we have achieved this with the use of Celery, Redis, Databases, Protobuf and other modern tools, whilst making sure to highlight our pitfalls and successes