Scaling with Airflow 3.2: When to Defer and When to Use Native Async Operators

Apache Airflow 3.2 adds native async support to PythonOperator, allowing high-throughput I/O workloads to run concurrently inside a single worker without triggerer overhead. Combined with Dynamic Task Iteration, this approach dramatically improves performance for micro-batch tasks like API calls or SFTP transfers.