7 Common Errors to Check When Debugging Airflow DAGs

The text discusses common errors and best practices when debugging Apache Airflow DAGs. It highlights the importance of understanding Airflow's scheduling mechanism, which can be counterintuitive. The article recommends using timetables for simpler scheduling, taking into account time zones and UTC by default. It also provides guidance on avoiding 503 errors caused by webserver issues, optimizing sensor tasks, scaling up worker resources, and troubleshooting missing task logs. Additionally, it offers tips for improving scheduler performance, including updating settings in the `airflow.cfg` file or environment variables. The article aims to help users resolve common issues with Airflow DAGs and provide a better understanding of the tool's capabilities and limitations.