Professional Data Engineer

Worker pod evictions commonly result from out-of-memory conditions. Reducing worker concurrency lowers the number of tasks handled simultaneously by each worker, giving each task more memory; increasing the maximum number of workers can maintain overall task capacity. Increasing the memory allocated to Airflow workers directly raises the resource limit that is causing the evictions.