IBM Workload Scheduler → Apache Airflow

IBM Workload Scheduler (formerly Tivoli Workload Scheduler / TWS) is a mature enterprise scheduler used extensively in IBM-centric data centres, often alongside mainframe workloads. Its job streams, dependencies, and calendar-based scheduling map well to Airflow DAGs. BatchFoundry handles full TWS job stream extraction and DAG generation, including cross-workstation dependencies and time fence logic.

Concept Mapping

The Hard Parts We Handle

• TWS JCL database extraction and parsing
• Time fence and deadline logic → Airflow SLA
• Cross-workstation job dependencies
• TWS calendar and run-cycle translation
• External dependency chains across job streams
• IBM agent workstation → Airflow queue mapping

TWS job stream to DAG

/* IBM TWS Job Stream (simplified) */
SCHEDULE DAILY_ETL ON WORKDAYS AT 0100
  :
  JDEFN EXTRACT
    JOBFILE #/opt/jcl/extract.jcl
    WORKSTATION UNIX01
  JDEFN LOAD FOLLOWS EXTRACT
    JOBFILE #/opt/jcl/load.jcl
    WORKSTATION UNIX01
  :
END

# Apache Airflow DAG
from airflow.decorators import dag
from airflow.operators.bash import BashOperator
from pendulum import datetime

@dag(schedule="0 1 * * 1-5", start_date=datetime(2025,1,1), catchup=False)
def daily_etl():
    extract = BashOperator(task_id="extract", bash_command="/opt/replatformed/extract.sh")
    load = BashOperator(task_id="load", bash_command="/opt/replatformed/load.sh")
    extract >> load

daily_etl()

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