: The min_file_process_interval (default 30s) determines how often Airflow scans your Python files for changes. Tuning this can significantly reduce CPU load on the scheduler. How to Use the Files
: Use a utility like WinRAR or a command-line tool to unpack the .rar . AirlfowConfig.rar
: Ensure sensitive strings like sql_alchemy_conn (database URI) and fernet_key (used for encrypting connection passwords) are properly managed. For production, these should ideally be moved to a Secrets Backend rather than plain text in the .rar . If tasks are stalling despite having resources, these
: Look for parallelism and dag_concurrency settings. If tasks are stalling despite having resources, these limits might be set too low (default is often 16). AirlfowConfig.rar
: Check the [core] section for executor . LocalExecutor is great for single-node setups, while CeleryExecutor or KubernetesExecutor is required for scaling.