We present QLAD, an anomaly detection system that is designed for the high query volume and the specific nature of DNS traffic at a TLD resolver. QLAD integrates three components that implement the complete anomaly detection process, ranging from the ingression of raw traffic data to the visualisation of detected anomalies. With an initial analysis of query logs from the Belgian ccTLD registry, we showed that QLAD can archive data compactly, has a low computational cost and can detect a wide range of anomalies. We found several anomalies that are of interest to the registry operator, such as domain enumerations and DoS attacks. Other anomalies were caused by benign applications with unique traffic patterns. A user interface helps to distinguish these, but correctly identifying all anomalies remains a difficult and tedious task.