How does Dynatrace handle custom alerts?

Dynatrace effectively utilizes the Davis AI engine to analyze custom alerts, helping users identify potential issues and their root causes. Unlike predefined alerts that come from standard metrics, custom alerts are tailored to specific needs and thresholds set by the user. While custom alerts may not inherently include a built-in mechanism for root cause analysis due to their user-defined nature, Dynatrace still offers insights and contextual data related to these alerts to assist in troubleshooting.

By leveraging other Dynatrace features alongside custom alerts, users can also work towards root cause determination. This means that while custom alerts themselves may not directly link to automated root cause analysis by Davis, users can still obtain relevant data that enables them to investigate further and find underlying issues.

In contrast, some of the other options miss the broader capabilities and analytics Dynatrace provides beyond simply ignoring or reporting on thresholds. Thus, the nature of custom alerts highlights a unique aspect of Dynatrace's flexibility in monitoring, where user-defined metrics are crucial for catering to specific environments or conditions.