What role does Dynatrace’s AI engine, Davis®, play in observability?

Davis®, Dynatrace’s AI engine, plays a crucial role in observability by producing actionable insights based on telemetry data. This involves analyzing vast amounts of data generated by applications, infrastructure, and user interactions to identify performance issues, anomalies, and trends. By leveraging machine learning and AI, Davis® can detect problems automatically and provide specific recommendations for remediation, enabling teams to prioritize their responses effectively. This proactive insight helps organizations optimize their performance and improve overall efficiency.

Other roles, such as guaranteeing uptime or automating data collection, are important in observability but not specific to what Davis® does. Additionally, limiting analysis solely to user experience metrics does not capture the comprehensive capability of Davis®, which focuses on a broader scope of telemetry data for deeper insights.