One of the exciting new features in Airflow 3 is internationalization (i18n), bringing multilingual support to the UI and making Airflow more accessible to users worldwide. This talk will highlight the UI changes made to support different languages, including locale-aware adjustments. We’ll discuss how translations are contributed and managed — including the use of LLMs to accelerate the process — and why human review remains an essential part of it. We’ll present the i18n policy designed to ensure long-term maintainability, along with the tooling developed to support it. Finally, you’ll learn how to get involved and contribute to Airflow’s global reach by translating or reviewing content in your language.

Apache Airflow is a powerful workflow orchestrator, but as workloads grow, its Python-based components can become performance bottlenecks. This talk explores how Rust, with its speed, safety, and concurrency advantages, can enhance Airflow’s core components (e.g, scheduler, DAG processor, etc). We’ll dive into the motivations behind using Rust, architectural trade-offs, and the challenges of bridging the gap between Python and Rust. A proof-of-concept showcasing an Airflow scheduler rewritten in Rust will demonstrate the potential benefits of this approach.