Orchestrate PeopleSoft batch from Apache Airflow
PeopleSoft Process Scheduler does the work; the enterprise scheduler used to do the triggering. BatchFoundry replaces that triggering layer with Airflow — preserving the Run Control Records and the security model PeopleSoft expects.
PeopleSoft is its own scheduler
Like SAP, PeopleSoft has an internal scheduler (Process Scheduler) and a Run Control Records pattern that batch ops engineers know intimately. The migration is not "rewrite PeopleSoft jobs in Python" — it's "trigger and monitor them from Airflow instead of from Control-M / AutoSys / OpCon". The business logic stays inside PeopleSoft; only the orchestration plane moves.
The reference pattern
PeopleSoftOperator (custom, built by BatchFoundry) creates or updates a Run Control Record via Component Interface, kicks off the Process Request, polls until completion, and reports status back to Airflow. For PeopleSoft 9.2 PUM images and PeopleSoft Cloud, REST endpoints replace the CI calls. Integration Broker patterns are supported for event-driven wake scenarios.
What BatchFoundry delivers
- Inventory of every PeopleSoft Process triggered by your current scheduler
- Airflow operator library covering Component Interface, REST, and Integration Broker patterns
- Run Control Record templates checked into your DAG repository as code
- Side-by-side run for one full payroll cycle before cutover
Pitfalls we plan around
- PS_OWNER permissions and the temptation to use one super-account
- Process Scheduler server tier sizing after migration
- PS Query result-set handoff to downstream Airflow tasks via S3 or Snowflake — not via XCom
What we won't tell you
If you only run a handful of nightly Process Requests and have no other batch landscape, an Airflow migration is overkill. Stick with the Run Control Records you have and use a 5-line cron entry.
Ready to move PeopleSoft to Airflow?
Talk to a PeopleSoft integration engineer about your Process Scheduler landscape.
Talk to a PeopleSoft integration engineer