  The broadcasting industry is increasingly adopting IP techniques,
revolutionising both live and pre-recorded content production, from news
gathering to live music events. IP broadcasting allows for the transport of
audio and video signals in an easily configurable way, aligning with modern
networking techniques. This shift towards an IP workflow allows for much
greater flexibility, not only in routing signals but with the integration of
tools using standard web development techniques. One possible tool could
include the use of live audio tagging, which has a number of uses in the
production of content. These include from automated closed captioning to
identifying unwanted sound events within a scene. In this paper, we describe
the process of containerising an audio tagging model into a microservice, a
small segregated code module that can be integrated into a multitude of
different network setups. The goal is to develop a modular, accessible, and
flexible tool capable of seamless deployment into broadcasting workflows of all
sizes, from small productions to large corporations. Challenges surrounding
latency of the selected audio tagging model and its effect on the usefulness of
the end product are discussed.
