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.

DAG Authoring - learn how to go beyond the basics and best practices when implementing Airflow DAGs. It will be a survival guide for Airflow DAG developers who need to cope with hundreds of Airflow operators. This session will go beyond 101 or “for dummies” session and will be of interest to both those who are just starting to develop Airflow DAGs and Airflow experts, as it will help them improve their productivity.

Airflow users love to run Airflow in public clouds and on distributed infrastructures like Kubernetes. Running Airflow environments is easier than ever - community offers Helm-based installation for self-managed Airflow and there are many offerings of Airflow-based managed services. Commoditization of Airflow and broader Airflow user base brings new challenges. This talk presents observations of the Airflow service provider delivering “Airflow as a Service’’ to cloud users (very technical, less technical and not technical at all). Information presented during this talk will be directed to the Apache Airflow committers and contributors with the hope that one can influence Airflow’s future roadmap so that Apache Airflow becomes easy to use.

This workshop is sold out Hands on workshop showing how easy it is to deploy Airflow in a public Cloud. Workshop consists of 3 parts: Setting up Airflow environment and CI/CD for DAG deployment Authoring a DAG Troubleshoot Airflow DAG/Task execution failures This workshop will be based on Cloud Composer ( https://cloud.google.com/composer ) This workshop is mostly targeted at Airflow newbies and users who would like to learn more about Cloud Composer and how to develop DAGs using Google Cloud Platform services like BigQuery, Vertex AI, Dataflow.

Apache Airflow is known to be a great orchestration tool that enables use cases that would not be possible otherwise. One of the great features that Airflow has is the possibility to “glue” together totally separate services to establish bigger functionalities. In this talk you will learn about various Airflow usages that let Airflow users to automate their critical company processes and even establish businesses. The examples provided will be based on Airflow used in the context of Cloud Composer which is a managed service to provision and manage Airflow instances.