Technical Deep Dive: Architecting Production-Ready Data & AI Apps

Organizations are moving beyond simple dashboards to interactive, secure Data & AI applications built directly where their data lives. This session provides a technical deep dive into Databricks Apps, exploring how to transform complex AI logic into production-ready business tools.

We will cover the essential architectural choices for developers, including a comparison of Pythonic frameworks like Streamlit and Gradio versus full-stack JS/TS implementations. The discussion will focus on the end-to-end development lifecycle, teaching you how to master authentication via Service Principals and On-Behalf-Of (OBO) tokens, and how to implement robust production workflows using Databricks Asset Bundles (DABs). Additionally, we will share best practices for optimizing performance and scalability—such as using async operations—and ensuring enterprise-grade observability through diagnostic logging and audit trails