Forum Discussion
How to automate pipeline schedule times in diff environments(dev and prod)
I have a pipeline in dev env, and have scheduled to run it every 15 mins. I have my code in git repo, but the pipeline schedule time is not saved there. If I deploy the pipeline to prod, how to schedule the pipeline? Do I have to schedule it manually or is there a way to automate this?
Hi fabric_1 ,
In Microsoft Fabric, pipeline schedules (triggers) are not part of the Git integration, so they won’t be carried over when you deploy to production. Currently, you’ll need to manually configure the schedule in the production workspace after deployment. While automation through REST API or PowerShell isn’t available yet, it’s expected to be supported in future updates.
Hope it helps !If this post was helpful, please consider marking Accept as solution to assist other members in finding it more easily.
If you continue to face issues, feel free to reach out to us for further assistance!
6 Replies
v-aatheequeCommunity Support
Hi fabric_1
To provide the best solution for your setup, could you clarify whether you're working with Azure Data Factory (ADF) pipelines or leveraging Microsoft Fabric?
The environment plays a key role in determining how the pipeline schedule can be preserved or automated during deployment.I am using Microsoft fabric, not using ADF.
- v-aatheeque
Hi fabric_1 ,
In Microsoft Fabric, pipeline schedules (triggers) are not part of the Git integration, so they won’t be carried over when you deploy to production. Currently, you’ll need to manually configure the schedule in the production workspace after deployment. While automation through REST API or PowerShell isn’t available yet, it’s expected to be supported in future updates.
Hope it helps !If this post was helpful, please consider marking Accept as solution to assist other members in finding it more easily.
If you continue to face issues, feel free to reach out to us for further assistance!
- v-aatheeque
Hi fabric_1 ,
We haven’t heard back from you regarding our previous response and wanted to check if your issue has been resolved.
If it has, please consider clicking “Accept Answer” and “Yes” if you found the response helpful.
If you still have any questions or need further assistance, feel free to let us know — we're happy to help!Thank you!
