@HideyoshiAkaio
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ETL Record Failure: Azure Data Factory (ADF) allows conditional logic in its pipeline orchestration, enabling different paths based on the outcomes of a previous activity. This includes error handling in ETL/ELT logic. If an activity fails, you can define a path to be executed. There are different approaches to handle errors, such as the Try-Catch block and the Do-If-Else block. The overall pipeline’s success or failure depends on the error handling mechanism you choose.
refer:https://learn.microsoft.com/en-us/azure/data-factory/tutorial-pipeline-failure-error-handling
Logging and Monitoring: ADF can write diagnostic logs in Azure Monitor. Azure Monitor provides base-level infrastructure metrics and logs for most Azure services3. You can use Azure Monitor if you want to keep pipeline-run data for a longer time. It also allows you to route diagnostic logs for analysis to multiple different targets. Additionally, the schema used by ADF logs and events for monitoring is described in detail.
refer:https://learn.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor
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