Splunk Inc.

Matthew William Pound

Steven Karis

Maxime Petazzoni

Charles Smith

Joseph Ari Ross

Chengyu Yang

Scott Stewart

Khawar Deen

Calvin Chan

John Bennett Wundes

Rashmi Kalyani Vasudevan

Umang Agarwal

Sally Wahba

Akila Balasubramanian

Nikhil Kasthurirangan

Pragati Vyas

Taavo-Taur Tammur

Described herein are techniques for concurrently visualizing real user's session data with a playback of a user's experience during a session. The disclosed techniques can correlate session data collected in response to interactions with an application during a user's session with session recreation data generated by the application and recorded during the user's session. The correlations between the session data and the recreation data can be used to render and control a recreation of the user's experience during the session concurrently with a visualization of the session data.

Concurrent visualization of session data and session playback

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

According to embodiments, a method for virtual partitioning of data includes receiving a data stream comprising a plurality of traces, each trace comprising a plurality of spans from a plurality of users. The method also includes assigning the plurality of traces of the data stream to a plurality of virtual partitions based on each user of the plurality of users, each virtual partition of the plurality of virtual partitions comprising data of a user of the plurality of users. The method also includes scheduling at least a subset of the plurality of virtual partitions to at least one user partition of a shared topic, the at least one user partition comprising data from at least one virtual partition of at least one user of the plurality of users. The method also includes indexing each user partition of the shared topic based on each user and each virtual partition.

Virtual partitioning of a shared message bus

Embodiments of the present disclosure provide for trace and span sampling and analysis for instrumented software. Each span may be annotated with one or more tags that provide context about an executed task, such as a user instrumenting the software, a document involved in a request, an infrastructure element used in servicing a request, etc. A sampler may perform tail-based sampling of traces comprising spans. The sampler may select a portion of the traces having selected features and send them to an analyzer. The analyzer may receive the selected traces and determine whether the selected traces are indicative of configuration problems for the instrumented software. An alert may be generated based on identified configuration problems.

Trace and span sampling and analysis for instrumented software

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

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Palo Alto, CA, United States of America

Matthew William Pound