Data products: from local development to cloud production

Abstract

Talk aimed at students who build prototypes on their local machines but don’t know how to take them to production; it gives a high-level intuition of that process. It covers version control with Git and GitHub, containers with Docker, APIs and the APIfication of software, cloud computing (AWS, Azure, GCP), SaaS/PaaS/IaaS models and DevOps. It introduces accessible platforms to deploy prototypes (Vercel, Netlify, GitHub Pages, Cloudflare Pages, Railway, Render, Shinyapps.io) and common architectures (monolith, microservices and serverless), closing with CI/CD automation as the goal.