Implementing CI/CD workflows for your Airflow pipelines
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In this session, you’ll learn everything you need to know about using CI/CD to manage your Airflow DAGs.
Astronomer Webinars
Join us for upcoming online events!
Introducing Astro Observe: Pipeline-level Observability
By the end of this webinar, you’ll be ready to take the next step with Astro Observe, now compatible with OSS Airflow, Astro, Amazon Managed Workflows (MWAA), and Google Cloud Composer (GCC).
The State of Airflow 2025
Our panel of experts will discuss the state of Airflow in 2025, including trends and results from the recent annual Airflow survey.
Modernizing Data Workflows: Moving from legacy schedulers to Airflow
Join us to discover how Airflow helps you deliver workflows faster, minimize downtime, and scale your operations effortlessly. Plus, you’ll see how Astronomer’s Orbiter tool takes the complexity out of migration and allows you to modernize your data operations with ease.
Watch Recorded Webinars On-Demand
What’s New in Airflow 2.5
In this webinar, we’ll cover all the great 2.5 updates that make Airflow even easier to use and implement at scale.
Organizing Your Airflow Project Code with the Astro CLI
We'll dive into how to use the open-source Astro CLI to effectively manage your Airflow project code so you can share code with your team, test DAGs before you deploy them, keep your code organized for easy reviews, and more.
Airflow 101: Essential Tips For Beginners - Dec 2022
Get started learning the fundamentals of Apache Airflow® and its key functionalities. Get tips on how to programmatically author, schedule, and monitor data pipelines.
Data-Aware Scheduling with the Astro Python SDK
Live with Astronomer dives into implementing data-aware scheduling with the Astro Python SDK. The new Airflow Datasets feature allows you to schedule DAGs based on updates to your data and easily view cross-DAG relationships. This feature is part of the Astro Python SDK, so it requires almost no effort from the DAG author to implement. We'll show you everything you need to do (and don't need to do) to take advantage of Datasets.
Running Airflow Tasks in Isolated Environments
Airflow DAG authors have multiple options for running tasks in isolated environments. In this webinar, we'll cover everything you need to know.
How to Migrate from Oozie to Airflow: A Guided Walkthrough
In this webinar, we’ll cover everything you need to know about migrating from Oozie to Airflow.
The New DAG Schedule Parameter
We’ll provide a quick refresher of scheduling concepts and discuss how scheduling DAGs is easier and more powerful in newer versions of Airflow.
Batch Inference with Airflow and SageMaker
We’ll walk through using the new SageMaker Async Operators, as well as the new SageMaker OpenLineage integration, for end-to-end ML OPs for batch inference use cases.
Dynamic Task Mapping on Multiple Parameters
On October 25, Live with Astronomer will dive into updates to the dynamic task mapping feature released in Airflow 2.4. We’ll show a couple of new methods for mapping over multiple parameters, and discuss how to choose the best mapping method for your use case.
