Splunk Inc.

Scott Stewart

Steven Karis

Maxime Petazzoni

Mayank Agarwal

Steven Flanders

Gergely Danyi

Joseph Ari Ross

Matthew William Pound

Charles Smith

A method of generating metrics data associated with a microservices-based application comprises ingesting a plurality of spans and mapping an ingested span of the plurality of spans to a span identity, wherein the span identity comprises a tuple of information identifying a type of span associated with the span identity, wherein the tuple of information comprises user-configured dimensions. The method further comprises grouping the ingested span by the span identity, wherein the ingested span is grouped with other spans from the plurality of spans comprising a same span identity. The method also comprises computing metrics associated with the span identity and using the metrics to generate a stream of metric data associated with the span identity.

Generating span related metric data streams by an analytic engine

A method of rendering a graphical user interface (GUI) comprising an application topology graph for a microservice architecture comprises generating a plurality of traces from a first plurality of spans generated by instrumented services in the architecture and generating generate a second plurality of spans for uninstrumented services using information extracted from the first plurality of spans. The method further comprises grouping the second plurality of spans with the plurality of traces. Subsequently, the method comprises traversing the traces and collecting a plurality of span pairs from the plurality of traces, wherein each pair of the span pairs is associated with a call between two services. The method also comprises aggregating information across the plurality of span pairs to reduce duplicative information associated with multiple occurrences of a same span pair from the plurality of span pairs. Finally, the method comprises rendering the application topology graph using the aggregated information.

Application topology graph for representing uninstrumented objects in a microservices-based architecture

Application topology graph for representing instrumented and uninstrumented objects in a microservices-based architecture

Generating metric data streams from spans ingested by a cloud deployment of an instrumentation analytics engine

Graphical user interface (GUI) for representing instrumented and uninstrumented objects in a microservices-based architecture

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Pflugerville, TX, United States of America

Scott Stewart