Cloud applications are complex and have many moving parts. Monitors provide data to help ensure that your applications stay up and running in a healthy state. Monitors also help you avoid potential problems and troubleshoot past ones. You can use monitoring data to gain deep insights about your applications. This knowledge helps you improve application performance and maintainability. It also helps you automate actions that otherwise require manual intervention. Azure Monitor provides base-level infrastructure metrics and logs for most Azure services. Azure diagnostic logs are emitted by a resource and provide rich, frequent data about the operation of that resource. Azure Data Factory (ADF) can write diagnostic logs in Azure Monitor.
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis to multiple different targets.
Storage Account: Save your diagnostic logs to a storage account for auditing or manual inspection. You can use the diagnostic settings to specify the retention time in days.
Event Hub: Stream the logs to Azure Event Hubs. The logs become input to a partner service/custom analytics solution like Power BI.
Log Analytics: Analyze the logs with Log Analytics. The Data Factory integration with Azure Monitor is useful in the following scenarios:
You want to write complex queries on a rich set of metrics that are published by Data Factory to Monitor. You can create custom alerts on these queries via Monitor.
You want to monitor across data factories. You can route data from multiple data factories to a single Monitor workspace.
00:00 Introduction
01:42 Create Log Analytics Workspace
02:40 Enable Azure Data Factory Diagnostic Setting
03:00 Connect Log Analytics workspace
05:15 Dashboard and Alert in Azure Data Factory
08:00 Check log in Log analytics
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