Fortra JAMS → Apache Airflow

Fortra JAMS (Job Access & Management System) is a cross-platform enterprise job scheduler that supports Windows, Unix, and cloud workloads. Its workflow-based job chaining and agent model translate cleanly to Airflow. BatchFoundry extracts JAMS job and workflow definitions and converts them to Airflow DAGs with full agent, dependency, and schedule fidelity.

Concept Mapping

The Hard Parts We Handle

• JAMS PowerShell and .NET job types → PythonOperator / BashOperator
• Agent-to-worker queue mapping
• JAMS variable scoping (job vs. workflow level)
• File trigger translation → FileSensor
• JAMS calendar and holiday definitions
• Cross-workflow dependencies → ExternalTaskSensor

JAMS workflow to DAG

/* JAMS Workflow (simplified XML) */
<Workflow Name="DailyETL" Schedule="Weekdays 01:00">
  <Step Name="Extract" Job="ETL.Extract" />
  <Step Name="Load" Job="ETL.Load">
    <Dependency Step="Extract" Condition="Success" />
  </Step>
</Workflow>

# 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/etl/extract.sh")
    load = BashOperator(task_id="load", bash_command="/opt/etl/load.sh")
    extract >> load

daily_etl()

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