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If you’re trying to find the exact moment a specific pipeline was created in Azure Data Factory (ADF), you might notice that the usual logs and APIs don’t give you this information directly. They tend to show only high-level events like publish dates or factory-wide activities.
To get a more detailed view, start by digging into the ADF monitoring logs. If you’ve enabled diagnostic settings and send logs to a Log Analytics workspace, you’ll find more detailed data in the ADFActivityRuns table. Look for pipeline creation events here, which often have more precise timestamps.
Another useful step is to examine the pipeline’s JSON metadata. When you open the pipeline in the ADF authoring UI, you can view its JSON code. Sometimes, hidden metadata properties inside the JSON, like creation or last modified dates, aren’t visible in the regular interface but can reveal important information.
The ADF REST API can also help. Unlike the ARM API, the ADF REST API may include additional system properties that show exactly when the pipeline was created. Check out the documentations for specific properties you can retrieve, such as in this link: https://learn.microsoft.com/en-us/rest/api/datafactory/pipelines/get.
For better tracking in the future, consider enabling git integration in your ADF project. Using version control helps you keep a detailed history of who created or modified each pipeline and when. It becomes a reliable record for auditing purposes.
You can also set up a custom tracking system. For example, create a database or a storage table where each pipeline creation event gets logged automatically. You might use an ADF trigger or an Azure function that runs whenever new pipelines are added, to record these events with timestamps.
If your organization uses monitoring alerts, sometimes initial test runs or notifications after pipeline creation can offer clues about when a pipeline was built. Additionally, check if your organization has Azure Policy or compliance tools that track resource creation more precisely than standard logs.
Following these steps should help you pinpoint exactly when your pipeline was created. Good luck, and I hope one of these solutions works for you!
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