10 years after its creation, Airflow is stronger than ever: in last year’s Airflow survey, 81% of users said Airflow is important or very important to their business, 87% said their Airflow usage has grown over time, and 92% said they would recommend Airflow. In this panel discussion, we’ll celebrate a decade of Airflow and delve into how it became the highly recommended industry standard it is today, including history, pivotal moments, and the role of the community. Our panel of seasoned experts will also talk about where Airflow is going next, including future use cases like generative AI and the highly anticipated Airflow 3.0. Don’t miss this insightful exploration into one of the most influential tools in the data landscape.

In the realm of data engineering, machine learning pipelines and using cloud and web services there is a huge demand for orchestration technologies. Apache Airflow belongs to the most popular orchestration technologies or even is the most popular one. In this presentation we are going to focus these aspects of Airflow that make it so popular and whether it became the orchestration industry standard.

During this talk we are going to given an overview of different orchestration approaches (Kubeflow, Ray, Airflow, etc.) when running ML workloads on Kubernetes and specifically we will focus on how to use Kubernetes Batch API and Kubernetes Operators to run complex ML workloads.