Kubernetes is widely used for managing large-scale distributed applications, but it presents significant observability challenges, making incident resolution complex. Dynatrace's Davis® AI Causation Engine, introduced in version 1.249, enhances Kubernetes performance monitoring by providing automated root cause analysis and targeting orchestration issues in real-time, thus reducing business impact from problems like pod evictions and workload misconfigurations. These improvements allow operations teams to make quicker, more informed decisions, reducing mean time to repair (MTTR) and minimizing disruptions. Additionally, Dynatrace plans to introduce large-scale anomaly detection to streamline the identification of common Kubernetes issues without requiring pre-configured alerts, further simplifying infrastructure management. Organizations leveraging Dynatrace can take advantage of these tools to maintain secure, efficient, and high-performing Kubernetes clusters, as demonstrated by data from a global survey of Kubernetes users.