Integration of Apache Airflow and Kubernetes enhances event-driven scheduling and autoscaling capabilities, indicating improved data management.
Apache Airflow 3.0 introduces a Task-Execution API, richer event-driven scheduling, and a React-based UI [1]. Concurrently, Kubernetes v1.31 adds graduated autoscaling, AppArmor/seccomp hardening, and smarter bin-packing [2]. Pairing these releases yields a cloud-agnostic data platform that elastically scales thousands of heterogeneous pipelines while meeting cost and compliance mandates
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Ujjawal Nayak (2025) studied this question.
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