Dynatrace's blog post discusses how users can define metric-based custom events to enhance the capabilities of Davis AI for specific use cases. By creating these custom events, users can automatically analyze abnormal situations within their IT infrastructure and determine relevant impacts and root causes. Metric-based events can be tailored to alert users about critical changes, such as a drop in revenue or unusual service activity, while info-level events provide contextual information without triggering alerts. The configuration process involves setting event titles, severities, and scopes, with a structured metric selection and a preview feature to simulate alert outcomes based on historical data. The improved workflow for custom event alerting in Dynatrace provides users with flexibility in deciding whether an event should raise a problem, trigger a Davis AI analysis, or simply log an alert, while also offering threshold baseline recommendations to minimize alert spam.