In complex IT environments where the volume of data is too large for manual monitoring, Dynatrace Davis® AI offers a fully automated solution for problem analysis, particularly in dynamic, web-scale cloud environments. This AI system automatically analyzes and alerts on anomalies within IT environments, such as outages in hosts, processes, or services, and extends its capabilities to custom data streams using tools like StatsD, Telegraf, and Prometheus. It simplifies observability by integrating custom metrics into its Smartscape topology model and utilizing an auto-adaptive baseline engine, reducing the need for manual alert maintenance. Users can configure alerts for outages, missing measurements, and unhealthy metric states, ensuring continuous monitoring of third-party data sources. Additionally, the platform supports advanced metric queries for more complex monitoring needs and offers customizable alert messages using metric dimension placeholders. This functionality enhances Dynatrace's ability to detect availability issues across a range of third-party data sources, making the platform more robust and versatile for monitoring and alerting on various IT infrastructure components.