Properly configuring and tuning your Airflow deployment to be generally performant can be a nontrivial endeavor. You can easily shoot yourself in the foot if you don’t do it right at first. You’ll discover and experience sporadic bottlenecks in Airflow-wide and DAG-level execution. You’ll apply solutions to those as they arise. You run the risk of developing a fragmented and mystical understanding of Airflow’s goings-on. You’ll have many questions and, frustratingly, fewer answers. Why are more