Aggregation and routing of metric time series data

A computing device, comprising:

• a processor;
• and
• a non-transitory computer-readable medium having stored thereon instructions that, when executed by the processor, cause the processor to perform operations comprising:
• receiving a plurality of metric time series at a computing system;
• identifying, using one or more filter criteria, a particular metric time series of the plurality of metric time series for aggregation, the particular metric time series including a plurality of dimensions;
• performing, using one or more aggregation criteria, aggregation of data points of the particular metric time series to generate an aggregated metric time series, wherein the aggregated metric time series includes fewer dimensions than the plurality of dimensions included in the particular metric time series;
• routing the particular metric time series to a data store;
• routing the aggregated metric time series to a data quantizer system;
• generating, by the data quantizer system, roll-up data points based on the aggregated metric time series, the roll-up data points including quantized values associated with a plurality of time intervals, wherein the aggregated metric time series includes, for each time interval of the plurality of time intervals and for each value of a plurality of values of a particular dimension included in the aggregated metric time series, an aggregated data point comprising a plurality of data values, and wherein the plurality of data values includes a first data value that is computed as a sum of differences between (i) metric values of data points included in the particular metric time series and associated with a value of the particular dimension and belonging to a time interval and (ii) metric values of data points included in the particular metric time series and associated with the value of the particular dimension and belonging to an immediately previous time interval;
• and
• processing the roll-up data points generated over the plurality of time intervals to determine an overall usage of a plurality of processor cores distributed in one or more datacenters, wherein each of the plurality of metric time series includes information related to processor usage in a data center of the one or more datacenters.

A non-transitory computer-readable medium comprising instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving a plurality of metric time series at a computing system;
• identifying, using one or more filter criteria, a particular metric time series of the plurality of metric time series for aggregation, the particular metric time series including a plurality of dimensions;
• performing, using one or more aggregation criteria, aggregation of data points of the particular metric time series to generate an aggregated metric time series, wherein the aggregated metric time series includes fewer dimensions than the plurality of dimensions included in the particular metric time series;
• routing the particular metric time series to a data store;
• routing the aggregated metric time series to a data quantizer system;
• and
• generating, by the data quantizer system, roll-up data points based on the aggregated metric time series, the roll-up data points including quantized values associated with a plurality of time intervals, wherein the aggregated metric time series includes, for each time interval of the plurality of time intervals and for each value of a plurality of values of a particular dimension included in the aggregated metric time series, an aggregated data point comprising a plurality of data values, and wherein the plurality of data values includes a first data value that is computed as a sum of differences between (i) metric values of data points included in the particular metric time series and associated with a value of the particular dimension and belonging to a time interval and (ii) metric values of data points included in the particular metric time series and associated with the value of the particular dimension and belonging to an immediately previous time interval;
• and
• processing, by the computing system, the roll-up data points generated over the plurality of time intervals to determine an overall usage of a plurality of processor cores distributed in one or more datacenters, wherein each of the plurality of metric time series includes information related to processor usage in a data center of the one or more datacenters.