The previous two chapters have been principally concerned with what happens to Azure Data Factory resources after you have finished developing them – how to get them into a production environment and how to run them automatically. This final chapter completes a trio of requirements for operating a production ADF instance: monitoring the behavior of deployed factory resources to ensure that individual resources and the factory as a whole continue to operate correctly.
12. Monitoring
Get Azure Data Factory by Example: Practical Implementation for Data Engineers now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.