Observing DataStage jobs

You can track the execution and proactively identify problems with the health of your DataStage jobs by using Data Observability.

Data Observability uses a synchronizing mechanism to scan your DataStage project every few seconds and report on collected metadata from any jobs that were run. You can enable powerful alerting with this metadata to notify your data team on the condition of your jobs and the quality of your inputs and outputs.

For more information on Data Observability and how to use it with DataStage, see the Data Observability documentation.

Watch the following video to see an example of how Data Observability alerts DataStage users of a run duration incident and gives root cause analysis to resolve future DataStage flow issues: