Dynatrace has integrated its PurePath® technology with Fluentd to enhance log and trace analysis in Kubernetes environments, offering a comprehensive observability solution. By combining Fluentd logs with distributed traces, Dynatrace provides a transaction-centric view of data that facilitates more actionable insights for DevOps and platform teams, helping to pinpoint root causes of anomalies using the AI engine, Davis. Fluentd, an open-source data collector, supports a wide array of plugins for log collection, processing, and output, and can be run as a DaemonSet in Kubernetes clusters. Dynatrace's approach enriches logs with metadata, providing a detailed context that aids in fast ad-hoc problem debugging and precise anomaly detection. The platform's ability to model causal relationships between observability data enhances performance analysis and resource allocation, offering users the flexibility of custom metrics and alerting for specific log events. While Fluentd offers a robust plugin ecosystem, Dynatrace's OneAgent DaemonSet provides ease of deployment and automation, making it a compelling choice for organizations looking to streamline log monitoring in Kubernetes environments.