airflow
https://github.com/apache/airflow
Python
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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- Issues
- Preserve sensor start_date when scheduler advances reschedule to queued
- Add on_catchup_skip_callback for DAGs with catchup=False
- Expose FastAPI request metrics (latency / count) via OpenTelemetry middleware
- Scheduler: drop FOR UPDATE on QUEUED executor events to avoid heartbeat deadlock
- KubernetesExecutor: surface pod log tail for generic Failed-state pods
- `SerializedDagModel.get_count()` should raise on None scalar result instead of silently returning 0
- Emit histograms alongside pool slot gauges to capture distribution between scrapes
- feat(metrics/otel): add histogram bucket views per metric-name pattern
- feat(metrics): emit pool slot histograms alongside existing gauges
- Decouple Cadwyn (FastAPI/Starlette) hard dependencies from the Airflow Task SDK installation
- Docs
- Python not yet supported