Improved GA Pipeline Maintenance through a dynamic system after a comprehensive investigation of the data alerting system:

Issue: The pipeline was experiencing instances of getting stuck in a running state, necessitating manual recovery. Since the pipeline runs hourly, except during specific hours, devising straightforward logic for alerting became challenging.

Resolution: Implemented a metadata table and initiated the process by filling in the start time at the beginning, marking everything else as null. This approach facilitates time comparison, allowing for the triggering of alerts if a run extends beyond a certain hourly threshold. This enhancement contributes to more effective alerting and recovery mechanisms.