In this talk Jarek and Kaxil will talk about official, community support for running Airflow in the Kubernetes environment. The full support for Kubernetes deployments was developed by the community for quite a while and in the past users of Airflow had to rely on 3rd-party images and helm-charts to run Airflow on Kubernetes. Over the last year community members made an enormous effort to provide robust, simple and versatile support for those deployments that would respond to all kinds of Airflow users. Starting from official container image, through quick-start docker-compose configuration, culminating in April with release of the official Helm Chart for Airflow. This talk is aimed for Airflow users who would like to make use of all the effort. The users will learn how to: Extend or customize Airflow Official Docker Image to adapt it to their needs Run quickstart docker-compose environment where they can quickly verify their images Configure and deploy Airflow on Kubernetes using the Official Airflow Helm chart

From not knowing Python (let alone Airflow), and from submitting the first PR that fixes typo to becoming Airflow Committer, PMC Member, Release Manager, and #1 Committer this year, this talk walks through Kaxil’s journey in the Airflow World. The second part of this talk explains: how you can also start your OSS journey by contributing to Airflow Expanding familiarity with a different part of the Airflow codebase Continue committing regularly & steadily to become Airflow Committer. (including talking about current Guidelines of becoming a Committer) Different mediums of communication (Dev list, users list, Slack channel, Github Discussions etc)

Airflow 2.0 was a big milestone for the Airflow community. However, companies and enterprises are still facing difficulties in upgrading to 2.0. In this talk, I would like to focus and highlight the ideal upgrade path and talk about upgrade_check CLI tool separation of providers registering connections types important 2.0 Airflow configs DB Migration deprecated feature around Airflow Plugins