TRACKING ERROR PROPAGATION ACROSS MICROSERVICES BASED APPLICATIONS USING DISTRIBUTED ERROR STACKS

    公开(公告)号:US20210133014A1

    公开(公告)日:2021-05-06

    申请号:US16672174

    申请日:2019-11-01

    Applicant: SPLUNK INC.

    Abstract: A method of performing error analysis in a system comprising microservices comprises identifying a root cause error span from among a plurality of error spans for a trace associated with a user-request, wherein an error span is a span that returns an error to a microservice initiating a call resulting in the span, and wherein a root cause error span is an error span associated with an error originating microservice. The method further comprises determining a call path associated with the root cause error span, where the call path comprises a chain of spans starting at the root cause error span, and where each subsequent span in the chain is a parent span of a prior span. Subsequently the method comprises mapping each span in the chain to a span error frame to create an error stack and rendering an image of the error stack.

    ANALYZING TAGS ASSOCIATED WITH HIGH-LATENCY AND ERROR SPANS FOR INSTRUMENTED SOFTWARE

    公开(公告)号:US20200257680A1

    公开(公告)日:2020-08-13

    申请号:US16858477

    申请日:2020-04-24

    Applicant: Splunk Inc.

    Abstract: A computer-implemented method for analyzing spans and traces associated with a microservices-based application executing in a distributed computing environment comprises aggregating a plurality of ingested spans associated with one or more applications executing in the distributed computing environment into a plurality of traces, wherein each of the plurality of ingested spans is associated with a plurality of tags. The method further comprises comparing durations of a set of related traces of the plurality of traces to determine patterns for the plurality of tags and generating a histogram that represents a distribution of the durations of the set of related traces. The method also comprises providing alerts for one or more tags from the plurality of tags associated with traces having a duration above a threshold based on the distribution of the durations.

    TRACKING ERROR PROPAGATION ACROSS MICROSERVICES-BASED APPLICATIONS

    公开(公告)号:US20210216391A1

    公开(公告)日:2021-07-15

    申请号:US17218457

    申请日:2021-03-31

    Applicant: SPLUNK INC.

    Abstract: A method of performing error analysis in a system comprising microservices comprises identifying a root cause error span from among a plurality of error spans for a trace, wherein an error span is a span that returns an error to a microservice that generates the span, and wherein a root cause error span is an error span associated with an error originating microservice. The method further comprises determining a call path associated with the root cause error span, where the call path comprises a chain of spans starting at the root cause error span, and where each subsequent span in the chain is a parent span of a prior span. Subsequently the method comprises mapping each span in the chain to a span error frame to create an error stack and rendering an image of the error stack.

    IN A MICROSERVICES-BASED APPLICATION, MAPPING DISTRIBUTED ERROR STACKS ACROSS MULTIPLE DIMENSIONS

    公开(公告)号:US20210133015A1

    公开(公告)日:2021-05-06

    申请号:US16672210

    申请日:2019-11-01

    Applicant: SPLUNK INC.

    Abstract: A method of tracking errors in a system comprising microservices comprises ingesting a plurality of spans generated by the microservices during a given duration of time. The method further comprises consolidating the plurality of spans associated with the given duration of time into a plurality of traces, wherein each trace comprises a subset of the plurality of spans that comprise a common trace identifier. For each trace, the method comprises: a) mapping a respective trace to one or more error stacks computed for the respective trace and to one or more attributes determined for the respective trace; and b) emitting each error stack computed from the respective trace with an associated pair of attributes. The method then comprises reducing duplicate pairs of error stack and associated attributes and maintaining a count for each pair of error stack and associated attributes.

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