Generating metric data from log data using metricization rules

    公开(公告)号:US11714823B1

    公开(公告)日:2023-08-01

    申请号:US17246229

    申请日:2021-04-30

    Applicant: Splunk Inc.

    CPC classification number: G06F16/254 G06F16/24556

    Abstract: Systems and methods are described for generating metrics from real-time streaming log data. In order to generate the metrics, a metricization rule associated with the log data can be obtained. For example, the metricization rule may be obtained from a user. The metricization rule may include one or more field-value pairs that define how the metrics are generated from the log data. Preview metric data can be generated by applying the metricization rule to the log data. For example, the preview metric data may be displayed via a user interface. Further, the metricization rule can be accepted or approved by the user. Further, the additional log data can be ingested and based on determining that the metricization rule has been accepted, metric data may be generated by applying the metricization rule to the additional log data.

    Multiple modes of data collection and analysis in a microservices-based architecture

    公开(公告)号:US11256604B2

    公开(公告)日:2022-02-22

    申请号:US16752286

    申请日:2020-01-24

    Applicant: SPLUNK INC.

    Abstract: A method of analyzing a performance of a microservices-based application comprises generating a plurality of traces from a plurality of spans associated with the microservices-based application. The method also comprises generating a plurality of data sets each associated with a respective analysis mode of a plurality of analysis modes using the plurality of traces, wherein each analysis mode extracts a different level of detail for analyzing the performance of the services in the application from the plurality of spans. Further, the method comprises selecting, based on a first user query, a first analysis mode from the plurality of analysis modes for generating a response to the first user query. The method also comprises accessing a data set of the plurality of data sets that is associated with the first analysis mode and generating the response to the first user query using the data set associated with the first analysis mode.

    Multiple modes of storing and querying trace data in a microservices-based architecture

    公开(公告)号:US11762759B1

    公开(公告)日:2023-09-19

    申请号:US17538159

    申请日:2021-11-30

    Applicant: SPLUNK INC.

    CPC classification number: G06F11/364 G06F16/953

    Abstract: A method of analyzing a performance of a microservices-based application comprises generating a plurality of traces from a plurality of spans associated with the microservices-based application. The method also comprises generating a plurality of data sets each associated with a respective analysis mode of a plurality of analysis modes using the plurality of traces, wherein each analysis mode extracts a different level of detail for analyzing the performance of the services in the application from the plurality of spans. Further, the method comprises selecting, based on a first user query, a first analysis mode from the plurality of analysis modes for generating a response to the first user query. The method also comprises accessing a data set of the plurality of data sets that is associated with the first analysis mode and generating the response to the first user query using the data set associated with the first analysis mode.

    Virtual partitioning of a shared message bus

    公开(公告)号:US11620164B1

    公开(公告)日:2023-04-04

    申请号:US17033253

    申请日:2020-09-25

    Applicant: Splunk Inc.

    Abstract: 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.

    Generating span related metric data streams by an analytic engine

    公开(公告)号:US12222840B1

    公开(公告)日:2025-02-11

    申请号:US17974262

    申请日:2022-10-26

    Applicant: SPLUNK Inc.

    Abstract: 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.

    Automatic generation of queries using non-textual input

    公开(公告)号:US11947528B1

    公开(公告)日:2024-04-02

    申请号:US17589677

    申请日:2022-01-31

    Applicant: Splunk Inc.

    CPC classification number: G06F16/2428 G06F16/2452 G06F16/2455 G06F16/248

    Abstract: Systems and methods are described for generation of a query using a non-textual input. For example, the query can be generated using a point and click input. A selection of a data source can be identified and an initial query can be automatically generated based on the selection of the data source. A graphical user interface can be displayed and populated with one or more selectable parameters based on the initial query. A selection of the one or more selectable parameters can be received as a non-textual input and a query can be automatically generated based on the selection. For example, a query for execution by a data intake and query system can be generated based on the selection. The query can be provided to the data intake and query system. The data intake and query system may then execute the query on a set of data.

    Generation of queries for execution at a separate system

    公开(公告)号:US11899670B1

    公开(公告)日:2024-02-13

    申请号:US17589558

    申请日:2022-01-31

    Applicant: Splunk Inc.

    CPC classification number: G06F16/24568 G06F16/22 G06F16/2471 G06F21/6227

    Abstract: Systems and methods are described for generation of queries for execution by a separate system. In order establish a connection with the separate system, credentials can be obtained. For example, the credentials may be based on a user identifier and/or a login identifier. Indices can be identified that correspond to the credentials and a query can be identified that includes a selection of at least one of the indices. For example, the query may identify a set of log data ingested and indexed by the separate system. A request that includes the query, the credentials, and a connection identifier can be communicated to the separate system. In response to the request, a set of data can be received from the separate system. The set of data can be provided to a computing device. For example, the set of data can be provided to a computing device providing the query.

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