Evidence-backed facts
- Apache Airflow documents a stable REST API for DAGs, DAG runs, task instances, datasets, pools, variables, connections, users, roles, and related resources. informative
- GET and list calls are distinct from creating DAG runs, changing state, managing variables or connections, deleting resources, and administrative actions. informative
- API authentication, RBAC roles, deployment configuration, secret backends, DAG code, executor, network policy, and object permissions bound actual access. informative
- An API response or created DAG run does not prove task success, idempotence, data quality, external side effects, or a secured scheduler deployment. informative