Forum Discussion
Pipeline Monitoring
Hi everyone,
Monitoring is just as important as building data pipelines.
I'd like to know how experienced teams monitor Microsoft Fabric Data Factory pipelines in production.
How do you:
Detect failures quickly?
Configure alerts?
Track execution performance?
Handle retries?
Identify bottlenecks?
Any recommendations or lessons learned would be very helpful.
HI ,
Thank you for reaching out to Microsoft Fabric Community Forum, Below are the few points which can resolve your issue.
- Use the Monitoring Hub to track pipeline runs, activity status, execution history, and failures.
- Configure alerts using Power Automate or Azure Monitor (where applicable) to notify teams of pipeline failures or long-running executions.
- Monitor execution performance by reviewing pipeline duration, activity duration, and historical trends to detect performance degradation.
- Configure retry policies for transient failures with appropriate retry count and interval to improve reliability.
- Identify bottlenecks by analyzing slow-running activities, data source latency, network issues, and large data volumes.
- Optimize pipeline performance through parallel execution, query optimization, partitioning, and incremental data loads.
- Enable logging and maintain execution history for troubleshooting, auditing, and root cause analysis.
- Monitor Fabric Capacity utilization to ensure sufficient compute resources and prevent performance issues.
- Implement standardized error handling and operational dashboards to improve visibility and reduce recovery time.
Thanks,
Chaithanya.
4 Replies
HI ,
Thank you for reaching out to Microsoft Fabric Community Forum, Below are the few points which can resolve your issue.
- Use the Monitoring Hub to track pipeline runs, activity status, execution history, and failures.
- Configure alerts using Power Automate or Azure Monitor (where applicable) to notify teams of pipeline failures or long-running executions.
- Monitor execution performance by reviewing pipeline duration, activity duration, and historical trends to detect performance degradation.
- Configure retry policies for transient failures with appropriate retry count and interval to improve reliability.
- Identify bottlenecks by analyzing slow-running activities, data source latency, network issues, and large data volumes.
- Optimize pipeline performance through parallel execution, query optimization, partitioning, and incremental data loads.
- Enable logging and maintain execution history for troubleshooting, auditing, and root cause analysis.
- Monitor Fabric Capacity utilization to ensure sufficient compute resources and prevent performance issues.
- Implement standardized error handling and operational dashboards to improve visibility and reduce recovery time.
Thanks,
Chaithanya.
Hi binitafulpagare ,
To detect failures quickly utilise data activator to send alerts to emails or teams channel. You can set alert for pipeline failures, notebook schedule run failures.
Monitor your activity/job run in Fabric Monitor Hub.
You can set retries in your pipeline with conditions(in preview) now. This can help in avoding retries in case of password expired, server not available.
Try to log errors in one lake so that you find out the patterns of errors and bring a customized solution to it.
Note: You dont need Azure Monitor or PowerAutomate as we have data activator in Fabric.
Thankyou Srisakthi for Addressing the issue.
Hi binitafulpagare ,Thank you for reaching out to Microsoft Fabric Community Forum,
As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?
Regards,Chaithanya
Thankyou @Srisakthi for Addressing the issue.
Hi @binitafulpagare ,Thank you for reaching out to Microsoft Fabric Community Forum,
As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for the issue worked? or Let us know if you need any further assistance?
Regards,Chaithanya
