Full fidelity storage of metric time series data

Abstract

Described herein are techniques for aggregating metric time series data upon ingestion, such as prior to intake, analysis, or processing by a data quantizer system. The disclosed techniques can transforming metric time series data into aggregated metric time series data, optionally with reduced complexity or dimensionality, while retaining various statistical information characteristic of the original source metric time series data. The aggregated metric time series data can be used in the same way as the original source metric time series data or other metric time series data, such as for processing or generating streaming analytics data or triggering events or notifications by a data quantizer system.