Dynatrace now uses its patented PurePath® technology to automatically combine logs streamed through Fluentd with distributed traces. In the past, Dynatrace enriched Fluentd logs with Kubernetes metrics, events, and topology information such as workloads, pods, namespaces, and nodes for easy filtering and analysis. Now, traces provide a transaction centric view and make Fluentd logs even more actionable in complex Kubernetes environments. Having all observability data available in context provides DevOps and platform teams with a new level of visibility and insights. And it enables Davis, the Dynatrace AI engine, to pinpoint the root causes of anomalies across the full stack, automatically and in real time.