DATA INGESTION PIPELINE ANOMALY DETECTION

    公开(公告)号:US20210117232A1

    公开(公告)日:2021-04-22

    申请号:US16670789

    申请日:2019-10-31

    Applicant: Splunk Inc.

    Abstract: Systems and methods are described for processing ingested pipeline metrics and ingested logs in an asynchronous manner as the data is being ingested to explain anomalies detected in the pipeline metrics using the ingested logs. For example, one or more streaming data processors can convert data as the data is ingested into a comparable data structure, determine whether the comparable data structure should be assigned to an existing data pattern or a new data pattern, and determine whether the logs corresponding to the comparable data structure is anomalous. Separately, the streaming data processor(s) can perform an outlier detection on the pipeline metrics to detect outliers. The streaming data processor(s) can then window the anomalous logs and the pipeline metric outliers to surface explanations for the pipeline metric outliers using the anomalous logs.

    MASKING PERSONALLY IDENTIFIABLE INFORMATION FROM MACHINE- GENERATED DATA

    公开(公告)号:US20210110062A1

    公开(公告)日:2021-04-15

    申请号:US17128522

    申请日:2020-12-21

    Applicant: SPLUNK Inc.

    Abstract: Implementations include receiving a user provided example value of personally identifiable information (PII). Occurrences of the received example value are automatically identified in a dataset of events, wherein each occurrence is identified in a portion of raw machine data of a respective event of the events. For each occurrence of the identified occurrences, an extraction rule is generated, which defines a pattern of the occurrence of the example value and is executable to identify PII values in portions of raw machine data of the events using the pattern. Values of the PII are identified in a set of events using a set of extraction rules comprising the extraction rule of a plurality of the occurrences.

    Tool for machine-learning data analysis

    公开(公告)号:US10956834B2

    公开(公告)日:2021-03-23

    申请号:US16707845

    申请日:2019-12-09

    Applicant: Splunk Inc.

    Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.

    Intelligent captain selection for disaster recovery of search head cluster

    公开(公告)号:US10956278B2

    公开(公告)日:2021-03-23

    申请号:US15582441

    申请日:2017-04-28

    Applicant: SPLUNK INC.

    Abstract: Embodiments of the present disclosure provide solutions for determining an elected search head captain is unqualified for the position, identifying a more qualified search head, and transferring the captain position to the more qualified search head. A method is provided that includes referencing qualification parameters in an elected search head captain, determining whether the newly elected search head captain is qualified for the position based on the parameters, identifying a more qualified search head to be the search head captain if the newly elected search head captain is determined to be unqualified for the position, and transferring the position of captain to the more qualified search head. The qualification parameters may include, for example, a pre-determined static flag set by an administrator of the search environment, and configuration replication status that corresponds to the most recent configuration state of the search head as recorded by the previous search head captain.

    System and method for centralized analytics for edge devices with enrichment pushdown

    公开(公告)号:US10938634B1

    公开(公告)日:2021-03-02

    申请号:US16264526

    申请日:2019-01-31

    Applicant: SPLUNK INC.

    Abstract: The computerized method is shown and includes obtaining input from a data stream at an electronic device, wherein the input includes machine data, wherein the electronic device has stored thereon a first query, evaluating the query by processing the input according to the first query, responsive to detecting a failure during evaluation of the query resulting from a lack of enrichment data stored on the electronic device, recording a first identifier corresponding to the enrichment data, transmitting the first identifier to a remote server computer system, receiving a communication from the remote server computer system, wherein the communication includes the enrichment data, and evaluating the query by processing second input from the data stream according to the first query and the enrichment data. In some instances the enrichment data includes contextual information for parsing the data stream and converting extracted data into an alternative format.

    Incident response in an information technology environment using cached data from external services

    公开(公告)号:US10936488B1

    公开(公告)日:2021-03-02

    申请号:US16119773

    申请日:2018-08-31

    Applicant: Splunk Inc.

    Abstract: Described herein are systems, methods, and software to improve incident response in an information technology (IT) environment. In one example, an incident service executes a course of action with one or more actions to respond to an incident in the IT environment. During execution, the incident service identifies a request to obtain data from an external service outside of the IT environment and determines whether the data is cached in a data store for the IT environment. If cached, the incident service obtains the data for the action from the data store. In contrast, if the data is not cached, the incident service obtains the data for the action from the external service.

    GEOFENCE-BASED OBJECT IDENTIFICATION IN AN EXTENDED REALITY ENVIRONMENT

    公开(公告)号:US20210027458A1

    公开(公告)日:2021-01-28

    申请号:US16993167

    申请日:2020-08-13

    Applicant: Splunk Inc.

    Abstract: A mobile device that includes a camera and an extended reality software application program is employed by a user in an operating environment, such as an industrial environment. One or more objects within a geofence may be identified. A device crosses within the geofence and acquires sensor data associated with an object within the geofence. The sensor data may include image data and/or audio data. The device or a server system may then determine an object identifier associated with the object based on a comparison of the sensor data with data associated with object identifiers corresponding to objects within the geofence. Based on the object identifier, data associated with the object are obtained. The data associated with the object may be presented via the device, such as an extended reality overlay over a view of the object in the device.

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