I'm a massive advocate of Streamlit. Streamlit is an open-source app framework for Machine Learning and Data Science teams. Streamlit allows you to develop beautiful apps without needing a tools team. But when your app becomes a standard within an organization, how do you scale it, secure and minimize the complexity of managing a deployment workflow.

Streamlit abstracts the tools teams, and Google Cloud with Kubernetes, Identity Aware Proxy (IAP), and an external HTTP(S) Load Balancer will scale, and secure the Streamlit application.

This repo is to accompany the tutorial posted on https://ruicosta.blog/2020/04/27/run-streamlit-io-on-google-cloud-kubernetes/