Distributed traces can seamlessly correlate to which of the following data?

Datadog's platform is designed for unified observability, seamlessly correlating distributed traces with other key telemetry data. Traces can be linked to corresponding logs via injected trace IDs, to infrastructure metrics from the host or container, to code-level performance data via profiles, and to network communication data. This allows users to pivot between different data types from a single trace view, providing a comprehensive context for troubleshooting and performance analysis. This interconnectedness is a core value proposition of the Datadog APM.

A. This is incomplete. While traces correlate with profiles, they also correlate with logs, metrics, and network data, making "All choices" a better answer.

B. This is incomplete. While traces correlate with logs, they also correlate with profiles, metrics, and network data, making "All choices" a better answer.

C. This is incomplete. While traces correlate with network data, they also correlate with logs, metrics, and profiles, making "All choices" a better answer.

E. This is incomplete. While traces correlate with infrastructure metrics, they also correlate with logs, profiles, and network data, making "All choices" a better answer.

1. Datadog Documentation, "APM & Distributed Tracing," Section: "Full-stack visibility". States that Datadog APM provides "seamless navigation to correlated logs, runtime metrics, and more."

2. Datadog Documentation, "Connect Logs and Traces," Section: "Trace and Log Correlation". Explains how trace and span IDs are automatically added to logs for correlation.

3. Datadog Documentation, "Continuous Profiler," Section: "How Continuous Profiler Works with APM Tracing". Describes how profiles are linked to traces to identify code-level bottlenecks.

4. Datadog Documentation, "Network Performance Monitoring," Section: "Getting Started". Shows how network data is correlated with services and traces.