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Start free todayGaurav Malhotra and Scott Hanselman (@shanselman) explore tagging support and enhanced monitoring capabilities, including dashboards and improved debugging support in Azure Data Factory. Data integration is complex and the ability to monitor your data factory pipelines is a key requirement for dev ops personnel inside an enterprise.
Now, you can tag/annotate your data factory pipelines to monitor all the pipeline executions with that particular tag. In addition, Data Factory visual tools provide dashboards to monitor your pipelines and an ability to monitor your pipeline execution by the Integration Runtime (IR) upon which the activities execute.
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[01:45] Demo Start
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Currently you cannot parameterize annotations which means you cannot accept dynamic content for them.. Thanks
How do you monitoring multiple data factory at a same time in same dashboard?
Also how do you monitor pipelines running on linked IR from shared IR dashboard?
This should be way more visible. As RichieBzzzt said, it is possible to add dynamic content to Annotations but this is very limited. From my experience it only works on Pipelines and not Datasets & Triggers. You can add an Annotation in the code (the UI has disappeared completely) by changing the Annotations to something like this:
"annotations": [
"@pipeline().parameters.<PARAMETERNAME>"
]
On Datasets & Triggers it will throw an error during execution, validation will not fail.