> ## Documentation Index
> Fetch the complete documentation index at: https://astronomer.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Learn Airflow 2

<Info>
  [Apache Airflow®](https://airflow.apache.org/) 3 is here! Use our guides to learn everything you need to know about this new release.
</Info>

[Apache Airflow®](https://airflow.apache.org/) is an open source tool for programmatically authoring, scheduling, and monitoring data pipelines. Every month, millions of new and returning users download Airflow and it has a large, active open source [community](https://airflow.apache.org/community/). The core principle of Airflow is to define data pipelines as code, allowing for dynamic and scalable workflows.

Read on for comprehensive guides on how to get started with Airflow 2.

## New to Apache Airflow® and Astro?

<CardGroup cols={2}>
  <Card title="Get started with Apache Airflow® - Tutorial" icon="fan" iconType="regular" href="/docs/learn/2.x/get-started-with-airflow">
    Set up Airflow locally and run your first DAG in under an hour.
  </Card>

  <Card title="Start your Astro trial" href="https://www.astronomer.io/dg/signup-airflow" icon="stars" iconType="regular">
    Create a managed Airflow Deployment with just a few clicks.
  </Card>
</CardGroup>

## Featured concepts

<CardGroup cols={3}>
  <Card title="Backfills" href="/docs/learn/2.x/rerunning-dags">
    Reprocess historical data from the UI, API, or CLI.
  </Card>

  <Card title="Remote execution" href="/docs/learn/2.x/airflow-executors-explained">
    Learn about remote execution capabilities in Airflow 3.
  </Card>
</CardGroup>