Displaying interactive topology maps of cloud computing resources

    公开(公告)号:US11611493B2

    公开(公告)日:2023-03-21

    申请号:US17443228

    申请日:2021-07-22

    Applicant: Splunk Inc.

    Abstract: Techniques and mechanisms are disclosed that enable collection of various types of data from cloud computing services and the generation of various dashboards and visualizations to view information about collections of cloud computing resources. A user can configure collection of data from one or more cloud computing services and view visualizations using an application platform referred to herein as a cloud computing management application. A cloud computing management application further may be configured to generate and cause display of interactive topology map representations of cloud computing resources based on the collected data, where an interactive topology map enables users to view an intuitive visualization of a collection of computing resources, efficiently cause performance of actions with respect to various resources displayed in the topology map, and analyze the collection of resources in ways that are not possible using conventional cloud computing service management consoles.

    Clustering-based security monitoring of accessed domain names

    公开(公告)号:US11606384B2

    公开(公告)日:2023-03-14

    申请号:US17386989

    申请日:2021-07-28

    Applicant: Splunk Inc.

    Abstract: Domain names are determined for each computational event in a set, each event detailing requests or posts of webpages. A number of events or accesses associated with each domain name within a time period is determined. A registrar is further queried to determine when the domain name was registered. An object is generated that includes a representation of the access count and an age since registration for each domain names. A client can interact with the object to explore representations of domain names associated with high access counts and recent registrations. Upon determining that a given domain name is suspicious, a rule can be generated to block access to the domain name.

    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.

    Frequent pattern based anomaly event detection

    公开(公告)号:US11586729B2

    公开(公告)日:2023-02-21

    申请号:US17332804

    申请日:2021-05-27

    Applicant: Splunk Inc.

    Abstract: A method is disclosed that includes receiving, at a computing device, an event log including multiple events, where the events are derived from machine data, determining a first score associated with a first granularity level by comparing an event from the event log with a first frequent patterns generated for the first granularity level, and determining a second score associated with a second granularity level by comparing the event with a second frequent patterns generated for the second granularity level. The method further includes determining an aggregate score for the event based on the first score and the second score, and comparing the aggregate score for the event with an anomaly score threshold. Further, the method includes issuing an alert identifying the event as an anomaly based on the aggregate score exceeding the anomaly score threshold.

Patent Agency Ranking