Methods, apparatus, systems and articles of manufacture are disclosed that provide an apparatus to monitor watermark encoder operation, the apparatus comprising: a data collector to collect one or more types of heartbeat data from a watermark encoder, the heartbeat data including time varying data, the one or more types of the heartbeat data defined by a software development kit (SDK); a machine learning engine to process the heartbeat data to predict whether the watermark encoder is associated with respective ones of a plurality of failure modes; and an alert generator to, in response to the machine learning engine predicting the watermark encoder is associated with a first one of the failure modes: generate an alert indicating the at least one of the one or more components to be remedied according to the first one of the failure modes; and transmit the alert to a watermark encoder management agent.