Generating span related metric data streams by an analytic engine

A non-transitory computer-readable medium having computer-readable program code embodied therein for causing a computer system to perform a method of identifying an anomalous pattern from metrics data associated with a microservices-based application that is executing in a distributed computing environment, the method comprising:

• aggregating a plurality of ingested spans into a plurality of streams of metric data, wherein the plurality of ingested spans is stored as part of different data sets;
• executing, on a stream of metric data, computations to identify the anomalous pattern, the stream of metric data being obtained from a first data set;
• and
• responsive to successfully identifying the anomalous pattern, generating a query directed to a second data set to obtain additional information associated with the anomalous pattern, wherein the second data set is different than the first data set.

A system for performing a method for identifying anomalous patterns from metrics data associated with a microservices-based application executing in a distributed computing environment, the system comprising:

• a processing device communicatively coupled with a memory and configured to:
• aggregate a plurality of ingested spans into a plurality of streams of metric data, wherein the plurality of ingested spans is stored as part of different data sets;
• execute, on a stream of metric data, computations to identify the anomalous pattern, the stream of metric data being obtained from a first data set;
• and
• responsive to successfully identifying the anomalous pattern, generate a query directed to a second data set to obtain additional information associated with the anomalous pattern, wherein the second data set is different than the first data set.