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Emit metrics when Airflow auto pauses a DAG

apache/airflow#69004·46929·Python·87 天未动·0 条评论·上游最近活跃 ·池内状态:可认领
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### Description With Airflow 3's `Max Consecutive Failed DAG Runs` config, platform teams can automatically pause DAGs that repeatedly fail, preventing unnecessary resource consumption. However, once a DAG is auto-paused, there is currently no straightforward way for DAG owners to be notified. While richer notification mechanisms (such as callbacks) may require additional design discussion, emitting a StatsD metric when the scheduler automatically pauses a DAG would be a simple and useful first step. Users could leverage this metric to configure alerts through their existing monitoring systems and promptly notify DAG owners when their DAG has been auto-paused. ### Use case/motivation This metric would help users detect when a DAG has been automatically paused after exceeding the configured consecutive failure threshold. Today, Airflow emits metrics for individual DAG run failures, but those metrics do not make it easy to determine when a DAG has reached the failure threshold that triggers automatic pausing. Users would need to correlate consecutive failures themselves, which can be difficult and error-prone, especially across retries, restarts, or multiple monitoring systems. Emitting a dedicated metric when the scheduler automatically pauses a DAG would provide a clear signal that the configured threshold has been reached. Users could use this metric to trigger alerts, create dashboards, and respond promptly when a DAG stops being scheduled due to repeated failures. ### Related issues _No response_ ### Are you willing to submit a PR? - [ ] Yes I am willing to submit a PR! ### Code of Conduct - [x] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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