This section assumes you have an AWS account with privileges to launch the relevant resources.
In this section we will cover some advanced topics that you should know about how Airflow functions and present some advanced patterns for constructing config-driven DAGs without Python code. We will also cover how you can use AWS CodeArtifact for Python dependencies with Amazon MWAA.
|Private PyPi repository||Engineers|
|Admin UI and DAG Control||Administrators, Operations|
There are a few key topics that are better covered by the existing Airflow documentation. Here we provide a list to some key resources:
|Admin UI Tour||https://airflow.apache.org/docs/apache-airflow/stable/ui.html|
With these core topics covered, you’ll be ready to consider Airflow in production and be enable to integrate into your existing workflows without any code.