Apache Airflow’s executor landscape has traditionally presented users with a clear trade-off: choose either the speed of local execution or the scalability, isolation and configurability of remote execution. The AWS Lambda Executor introduces a new paradigm that bridges this gap, offering near-local execution speeds with the benefits of remote containerization. This talk will begin with a brief overview of Airflow’s executors, how they work and what they are responsible for, highlighting the compromises between different executors. We will explore the emerging niche for fast, yet remote execution and demonstrate how the AWS Lambda Executor fills this space. We will also address practical considerations when using such an executor, such as working within Lambda’s 15 minute execution limit, and how to mitigate this using multi-executor configuration. Whether you’re new to Airflow or an experienced user, this session will provide valuable insights into task execution and how you can combine the best of both local and remote execution paradigms.

Executors are a core concept in Apache Airflow and they are an essential piece to the execution of DAGs. They continue to see investment and innovation including a new feature launching this year: Hybrid Execution. This talk will give a brief overview of executors, how they work and what they are responsible for. Followed by a description of Hybrid Executors (AIP-61), a new feature to allow multiple executors to be used natively and seamlessly side by side within a single Airflow environment. We’ll deep dive into how this feature works, how users can make use of it, compare this new feature to what was available before, and finally a demo to see it in action. Don’t miss this chance to learn about the cutting edge capabilities of executors in Apache Airflow!

Executors are a core concept in Apache Airflow and are an essential piece to the execution of DAGs. They have seen a lot of investment over the year and there are many exciting advancements that will benefit both users and contributors. This talk will briefly discuss executors, how they work and what they are responsible for. It will then describe Executor Decoupling (AIP-51) and how this has fully unlocked development of third-party executors. We’ll touch on the migration of “core” executors (such as Celery and Kubernetes) to their own package as well as the addition of new “3rd party” executors from providers such as AWS. Finally, a description/demo of Hybrid Executors, a proposed new feature to allow multiple executors to be used natively and seamlessly side by side within a single Airflow environment; which will be a powerful feature in a future full of many new Airflow executors.

Apache Airflow is one of the largest Apache projects by many metrics but it ranks particularly high in the number of contributors involved in the project. This leads to hundreds of Github Issues, Pull Requests and Discussions being submitted to the project every month. So it is critical to have an ample number of Committers to support the community. In this talk I will summarize my personal experience working towards, and ultimately achieving, committer status in Apache Airflow. I’ll cover the lessons I learned along the way as well as provide some advice and best practices to help others achieve committer status themselves.