Resegmenting chunks of data based on source type to facilitate load balancing

    公开(公告)号:US11599396B2

    公开(公告)日:2023-03-07

    申请号:US17237904

    申请日:2021-04-22

    Applicant: SPLUNK INC.

    Abstract: Resegmenting chunks of data for load balancing is disclosed. A plurality of first chunks of data is received. The plurality of first chunks of data includes one or more entries that include raw data produced by a component of an information technology environment and that reflects activity in the information technology environment. The plurality of first chunks of data is resegmented into a plurality of second chunks of data based on a source type of the plurality of first chunks. A first subset of the plurality of second chunks of data is distributed to a first indexer of a set of indexers. An occurrence of a trigger event is determined, and in response to the trigger event, a second subset of the plurality of second chunks of data is distributed to a second indexer of the set of indexers.

    Pipeline set selection based on duty cycle estimation of pipeline threads

    公开(公告)号:US10853082B1

    公开(公告)日:2020-12-01

    申请号:US16399773

    申请日:2019-04-30

    Applicant: Splunk Inc.

    Abstract: A computer implemented system is described for assigning executable jobs to pipeline sets, whereby the jobs may be network based computer jobs. The assigning includes generating a weight for each pipeline set of multiple pipeline sets to obtain multiple weights. Generating a weight includes obtaining duty cycle metrics for pipeline software threads in the pipeline set. The duty cycle metrics include a measure of an amount of time that a corresponding pipeline thread is executing and actively processing data. Generating the weight further includes determining the weight for the pipeline set based at least in part on the duty cycle metrics. The method further includes assigning a job request to a target pipeline set selected from the pipeline sets according to a weighted random algorithm, wherein the weighted random algorithm uses the weights.

    Actionable event responder architecture

    公开(公告)号:US11924021B1

    公开(公告)日:2024-03-05

    申请号:US17846983

    申请日:2022-06-22

    Applicant: Splunk Inc.

    CPC classification number: H04L41/0631 G06F16/2465 G06F9/451

    Abstract: An actionable event collector in a server cluster receives information specifying an actionable event instance regarding an actionable event occurrence in the server cluster. The actionable event collector transmits a representation of the actionable event instance to an actionable event queue builder. The actionable event queue builder inserts the representation as an entry into an actionable event queue. The event action dispatcher processes the entry from the actionable event queue, wherein processing the entry comprises determining a responsive action for the entry and causing performance of the responsive action.

    Pipeline set selection based on duty cycle estimation

    公开(公告)号:US11513844B1

    公开(公告)日:2022-11-29

    申请号:US17070110

    申请日:2020-10-14

    Applicant: Splunk Inc.

    Abstract: A computer implemented system is described for assigning executable jobs to pipeline sets, whereby the jobs may be network based computer jobs. The assigning includes generating a weight for each pipeline set of multiple pipeline sets to obtain multiple weights. Generating a weight includes obtaining duty cycle metrics for pipeline software threads in the pipeline set. The duty cycle metrics include a measure of an amount of time that a corresponding pipeline thread is executing and actively processing data. Generating the weight further includes determining the weight for the pipeline set based at least in part on the duty cycle metrics. The method further includes assigning a job request to a target pipeline set selected from the pipeline sets according to a weighted random algorithm, wherein the weighted random algorithm uses the weights.

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