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I’m working in Azure Synapse (similar to Azure Data Factory) and have numerous ScheduleTrigger. We often experience property changes—for example, if someone updates the schedule frequency, start times, or modifies pipeline parameters.

This problem stems from poor peer reviews during deployment but as of now i can't do anything about rather than do this.

Current Idea: Using etag Each trigger in the REST API (/triggers?api-version=2020-12-01) has an etag property. When the etag changes, we know something changed in the trigger definition. We can store the old vs. new state and compare them to see what changed. But this approach still requires:

Calling the API periodically via a pipeline or script. Comparing the new etag to the last known etag. Doing a JSON diff on the old/new “properties” to see the exact changes.

Is there a more direct/built-in way to track or subscribe to changes in triggers without having to do manual comparisons?

I’m working in Azure Synapse (similar to Azure Data Factory) and have numerous ScheduleTrigger. We often experience property changes—for example, if someone updates the schedule frequency, start times, or modifies pipeline parameters.

This problem stems from poor peer reviews during deployment but as of now i can't do anything about rather than do this.

Current Idea: Using etag Each trigger in the REST API (/triggers?api-version=2020-12-01) has an etag property. When the etag changes, we know something changed in the trigger definition. We can store the old vs. new state and compare them to see what changed. But this approach still requires:

Calling the API periodically via a pipeline or script. Comparing the new etag to the last known etag. Doing a JSON diff on the old/new “properties” to see the exact changes.

Is there a more direct/built-in way to track or subscribe to changes in triggers without having to do manual comparisons?

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