Datadog's Dynamic Instrumentation enables users to add logs to their code without restarting or redeploying applications, reducing the mean time to resolution (MTTR) and minimizing system disruption. This feature allows for easy capture of crucial data at runtime and analysis of app performance with enriched context. Users can create probes to add instrumentation to their code, access relevant files through source code integration, and set conditions for log generation. The logs captured via Dynamic Instrumentation are standard application logs that can be analyzed using tags and metadata within Datadog. This tool helps close observability gaps and troubleshoot performance issues with minimal user impact.