Since its inception by Etsy in 2011, StatsD has been a crucial tool for infrastructure monitoring, but its lack of built-in support for tagging metrics has posed challenges for modern dev and ops teams working with containerized microservices. To address this limitation, Datadog introduced DogStatsD Mapper, which automatically converts parts of StatsD metric names into tags based on user-configured rules, without the need to re-instrument code or use separate servers. The DogStatsD Mapper is integrated into the Datadog Agent, enabling it to process untagged StatsD metrics by mapping segments of the metric's namespace to tags, thus facilitating better organization and filtering of metrics. This feature is especially useful for tools like Apache Airflow, which emit metrics only in StatsD format, as it allows for the extraction of meaningful tags from existing infrastructure. Datadog customers can immediately start using DogStatsD Mapper by defining mapping rules for their StatsD metrics, enhancing the visibility and insight into various aspects of their environment.