Datadog's auto-instrumentation feature automatically brings together all the logs for a given request and links them seamlessly to tracing data, allowing developers to quickly diagnose issues without manual instrumentation. The company's distributed tracing libraries were built to solve the problem of propagating context across services and infrastructure boundaries, enabling the reconstruction of full request lifespans in a single visualization. By enhancing these tracing libraries to inject request-scoped context into logs, Datadog unifies all logs and traces for a given request, requiring zero developer time or maintenance. Once configured, users can easily view logs associated with a request trace, pivot from logs to traces, and isolate all logs from a single request, enabling faster troubleshooting and better application performance visibility.