Currently we will (I think) just have a growing offset w.r.t. the latest Kafka message. We need to:

1. Log if this happens.
2. Dynamically drop messages so we can catch up.
3. Propagate this information to the user, e.g., to inform that that only a specific fraction of event data was included in the displayed plots.