venkatamandavilli-code commented on issue #68532: URL: https://github.com/apache/airflow/issues/68532#issuecomment-4723452865
Thanks for raising this enhancement. In large enterprise environments with hundreds or even thousands of DAGs, it can be difficult for platform teams to understand workload distribution throughout the day. An aggregate schedule view would provide valuable operational visibility by helping teams identify peak execution windows, scheduling bottlenecks, and opportunities to better distribute workloads across available resources. From an operations and governance perspective, this could also support capacity planning, infrastructure optimization, and proactive monitoring of critical business workflows. A visual representation of typical DAG execution patterns across the environment would make it easier to identify schedule concentration and reduce the risk of resource contention during peak periods. I believe this would be especially useful for organizations running Airflow as a shared platform across multiple business teams. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
