Abstract: A computer-implemented method of down-sampling time series data for display is described. The method comprises a step of determining an absolute distance between a previous data point in the series and the present data point, and discarding the present data point if the determined absolute distance is less than a threshold value. The threshold value is dependent on a data value range for the time series data, and a size of a display area within which the time series data is to be displayed.

Abstract: A computer-implemented method of down-sampling time series data for display is described. The method comprises a step of determining an absolute distance between a previous data point in the series and the present data point, and discarding the present data point if the determined absolute distance is less than a threshold value. The threshold value is dependent on a data value range for the time series data, and a size of a display area within which the time series data is to be displayed.

Abstract: A computer-implemented method of analyzing a plurality of metrics associated with one or more real-time streams of time-series data. For each metric, a set of time-series data for an interval of time is received, and one or more feature values determined from data of the stream prior to the interval of time are retrieved. One or more updated feature values are determined using the one or more retrieved feature values and the received set of time-series data, and the one or more updated feature values are stored in the store. The values of the metrics are then determined from the updated feature values, the plurality of metrics are then analyzed, for example to perform anomaly detection.