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Optimizing Apache Airflow Performance: Configuring Worker Count for Maximum Efficiency
Airflow workers are responsible for executing the tasks defined in Directed Acyclic Graphs (DAGs). Each worker can handle one task at a time. The number of workers directly impacts the system’s ability to parallelize task execution, thus influencing overall workflow performance.
