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metric: Time after triggering

apache/airflow#19286·46929·Python·1709 天未动·10 条评论·上游最近活跃 ·池内状态:可认领
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### Description Can we have a metric that indicates how long after a dag is triggered its scheduled? I notice that first task scheduling delay doesn't include external triggers but it might be nice to have how long after a dag is triggered it ran to get an idea of things like scheduler failures, full queues etc. ### Use case/motivation We currently have a critical pipeline and a set of user focused dags that are triggered from the critical pipeline. We would like to have an idea of how fast the scheduler picks up and runs those dags. This is to get a better idea of scheduler responsiveness and also figure out if we need to increase the size of our environment, split environments ### Related issues _No response_ ### Are you willing to submit a PR? - [X] 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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