Get Alert Emails for Pipeline Metrics

Alerting and monitoring metrics is considered a necessary practice in any development setting since it gives an outlook on how the product is performing. In the case of data pipelines, alerting can ensure development teams know as soon as something fails or is not running expectedly so it can be fixed with urgency without impacting any end-users. Similarly, regular monitoring can ensure that teams have exposure to how their services are running. In this lesson, we'll discuss alerts in ADF and create a custom email alert for pipeline failures.

Alerts and metrics in ADF

Azure Data Factory (ADF) provides a robust alerting mechanism that enables users to stay informed about the status of their data integration workflows. Alerts are notifications triggered by predefined conditions, such as pipeline run failures or delays. These alerts exist within the ADF architecture, in addition to those that we covered in the previous lesson and that are hosted by Azure Monitor.

Levels of severity for configuring alerts

When setting up alerts in ADF, users can assign different levels of severity to each alert rule. The severity levels, such as sev0, sev1, and so on, represent the importance and urgency of the alert. For instance, sev0 signifies the highest severity, indicating critical issues that require immediate attention, while lower severity levels denote less critical issues. By configuring alert rules with appropriate severity levels, users can effectively prioritize and respond to alerts based on their impact on data operations and business processes. ...