Durable search queries for reliable distributed data retrieval

    公开(公告)号:US11782920B1

    公开(公告)日:2023-10-10

    申请号:US17163118

    申请日:2021-01-29

    Applicant: Splunk Inc.

    CPC classification number: G06F16/24535 G06F16/2477 G06F16/24542

    Abstract: A data intake and query system executes a search query at a first execution time for querying events having associated time stamps within a first time period characterized by a first start time and a first end time. The first start time is computed based upon a time indicated by reference time information stored prior to execution of the search query. The system determines whether execution of the search query completed successfully based upon a first search result obtained from executing the search query. If the first execution of the search query was not successful, the system computes for a second execution of the search query after the first execution, a second time period using the reference time information. The second execution is configured to query events with associated timestamps that fall within a second time period that includes the first time period and an additional time period.

    Automatic entity definitions based on derived content

    公开(公告)号:US11768836B2

    公开(公告)日:2023-09-26

    申请号:US16582205

    申请日:2019-09-25

    Applicant: Splunk Inc.

    CPC classification number: G06F16/24573 G06Q10/00

    Abstract: A service monitoring system (SMS) produces key performance indicator (KPI) scores that indicate the performance of a service. To produce the KPI scores, the SMS may process the data for a large number of machine entities that perform the service. This data can be processed on a per-entity basis to produce a per-entity KPI score representing the contribution of a particular machine to the overall KPI. The per-entity KPI scores can be transformed to statistical representations which can be visualized as a distribution stream graph. The visualization may be presented with interactive aspects. Automatic entity definitions may also be generated based on content derived from the processed data.

    Performing iterative entity discovery and instrumentation

    公开(公告)号:US11755453B1

    公开(公告)日:2023-09-12

    申请号:US17973394

    申请日:2022-10-25

    Applicant: SPLUNK Inc.

    CPC classification number: G06F11/3495

    Abstract: In response to receiving a selection of an option to discover uninstrumented entities within a monitored environment, information retrieved from monitoring agents currently installed on instrumented entities within a system is analyzed to discover additional entities within the system that are connected to the instrumented entities. Each of these discovered entities is analyzed to determine whether a monitoring agent is able to be installed within the entity; if installation is possible, such installation is automatically performed (or a guided manual installation is implemented utilizing an interface). After a monitoring agent is installed within a discovered entity, information is retrieved from that monitoring agent may be used to discover additional entities within the system that are connected to that discovered entity. In this way, an iterative discovery of all entities within a system may be performed. Results of this iterative discovery may be presented via an interface.

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