公开(公告)号：US11687438B1

公开(公告)日：2023-06-27

申请号：US17248612

申请日：2021-01-29

Applicant: Splunk Inc.

Inventor： Ian Edward Torbett ,  Lila Fridley ,  Tristan Antonio Fletcher ,  Ayyappa Muthusami ,  Tanner Gilligan

IPC: G06F11/34 ,  G06F11/30 ,  G06F11/32

CPC classification number: G06F11/3466 ,  G06F11/3075 ,  G06F11/324 ,  G06F11/3428

Abstract: Systems and methods are described for performing adaptive thresholding on key performance indicator (KPI) values using an online machine learning algorithm as the KPI values or the data from which the KPI values are derived is being ingested. For example, the system can identify outliers in a moving window of KPI values. To implement the adaptive thresholding, the system may identify seasonality and/or trend components in historical KPI values. When a new KPI value is obtained, the system may remove the identified seasonality and/or trend components from the KPI value, and determine whether the modified KPI value is an outlier using sketches or quantiles. The system can then repeat this process for each subsequently received KPI value.

公开(公告)号：USD989794S1

公开(公告)日：2023-06-20

申请号：US29811914

申请日：2021-10-18

Applicant: SPLUNK Inc.

Designer： Tatsuya Hama ,  Vanessa Jaber

Abstract: The sole FIGURE is a front view of a display screen or portion thereof having a graphical user interface for a link to a data interface showing our new design.
The broken lines depict portions of the display screen or portion thereof having a graphical user interface for a link to a data interface in which the design is embodied that form no part of the claimed design.

公开(公告)号：USD989792S1

公开(公告)日：2023-06-20

申请号：US29811910

申请日：2021-10-18

Applicant: SPLUNK Inc.

Designer： Tatsuya Hama ,  Vanessa Jaber

Abstract: The sole FIGURE is a front view of a display screen or portion thereof having a graphical user interface for a link to a security interface showing our new design.
The broken lines depict portions of the display screen or portion thereof having a graphical user interface for a link to a security interface in which the design is embodied that form no part of the claimed design.

公开(公告)号：US11677760B2

公开(公告)日：2023-06-13

申请号：US16944433

申请日：2020-07-31

Applicant: Splunk Inc.

Inventor： Banipal Shahbaz ,  Siri Atma Oaklander De Licori ,  John Robert Coates ,  David Hazekamp ,  Devendra Badhani ,  Luke Murphey ,  Patrick Schulz

IPC: G06F21/55 ,  H04L9/40 ,  G06F21/53 ,  G06F16/248 ,  G06F16/26

CPC classification number: H04L63/1416 ,  G06F21/53 ,  G06F21/554 ,  H04L63/145 ,  H04L63/1458 ,  H04L63/1475 ,  G06F16/248 ,  G06F16/26 ,  G06F2221/2151 ,  H04L2463/121 ,  H04L2463/141

Abstract: Techniques and mechanisms are disclosed for configuring actions to be performed by a network security application in response to the detection of potential security incidents, and for causing a network security application to report on the performance of those actions. For example, users may use such a network security application to configure one or more “modular alerts.” As used herein, a modular alert generally represents a component of a network security application which enables users to specify security modular alert actions to be performed in response to the detection of defined triggering conditions, and which further enables tracking information related to the performance of modular alert actions and reporting on the performance of those actions.

公开(公告)号：US20230177085A1

公开(公告)日：2023-06-08

申请号：US18104089

申请日：2023-01-31

Applicant: Splunk Inc.

Inventor： Ram Sriharsha

IPC: G06F16/901 ,  G06F16/2458 ,  G06F16/28 ,  G06F16/23 ,  G06N20/20 ,  G06F9/38 ,  G06F9/54 ,  G06F16/2455 ,  G06F16/14 ,  G06F16/22 ,  G06F16/2453 ,  G06N20/00 ,  G06F16/16 ,  G06F17/16 ,  G06F17/18 ,  G06F16/242 ,  G06F18/214 ,  G06F18/21

CPC classification number: G06F16/901 ,  G06F16/2465 ,  G06F16/285 ,  G06F16/2379 ,  G06N20/20 ,  G06F9/3885 ,  G06F9/544 ,  G06F16/24568 ,  G06F16/144 ,  G06F16/2246 ,  G06F16/156 ,  G06F16/24534 ,  G06N20/00 ,  G06F16/168 ,  G06F17/16 ,  G06F17/18 ,  G06F16/242 ,  G06F16/23 ,  G06F18/2148 ,  G06F18/2185 ,  G06F16/22 ,  G06F16/2264 ,  G06F16/2282

Abstract: Systems and methods are described for processing ingested data using an online machine learning algorithm as the data is being ingested. For example, the online machine learning algorithm can be an adaptive thresholding algorithm used to identify outliers in a moving window of data. As another example, the online machine learning algorithm can be a sequential outlier detector that detects anomalous sequences of logs or events. As another example, the online machine learning algorithm can be a sentiment analyzer that determines whether text has a positive, negative, or neutral sentiment. As another example, the online machine learning algorithm can be a drift detector that detects whether ingested data marks the start of a change in the distribution of a time-series.

公开(公告)号：US20230171169A1

公开(公告)日：2023-06-01

申请号：US18162595

申请日：2023-01-31

Applicant: Splunk Inc.

Inventor： Qianjie Zhong ,  Geng Qin ,  Ting Wang ,  Min Zhang ,  Micah Delfino ,  Jef Bekes ,  D. Randall Young ,  Cary Noel ,  Feng Shao ,  Dritan Bitincka

IPC: H04L43/045 ,  H04L41/22 ,  H04L41/12 ,  H04L43/0817

CPC classification number: H04L43/045 ,  H04L41/22 ,  H04L41/12 ,  H04L43/0817

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.

公开(公告)号：US20230169084A1

公开(公告)日：2023-06-01

申请号：US18160972

申请日：2023-01-27

Applicant: Splunk Inc.

Inventor： Vladimir A. Shcherbakov ,  Stewart Smith ,  Nicholas Matthew Tankersley ,  Junyu Wang ,  Peter Wu

IPC: G06F16/248 ,  G06F16/26

CPC classification number: G06F16/248 ,  G06F16/26 ,  G06F3/0482

Abstract: Systems and methods are described to determine relationships between one or more components of an isolated execution environment system based on data obtained from a data intake and query system. Based on the determined relationships, an interactive visualization is generated that indicates the hierarchical relationship of the components. In some cases, to illustrate the relationship between components of the isolated execution environment system, the visualization can include one or more display objects displayed in a subordinate or superior relationship to other display objects. In certain cases, based on an interaction with a display object, the system can generate a query and/or display additional information and/or visualizations based on the results of the query.

公开(公告)号：US11663219B1

公开(公告)日：2023-05-30

申请号：US17239384

申请日：2021-04-23

Applicant: Splunk Inc.

Inventor： Dragoljub Profirovic ,  Min Zhang ,  Poornima Devaraj

IPC: G06F16/2455 ,  G06F11/34 ,  G06F16/2457 ,  G06F16/2453

CPC classification number: G06F16/24568 ,  G06F11/3409 ,  G06F16/2453 ,  G06F16/2457

Abstract: Systems and methods are described for tuning parameter values of a processing pipeline in a streaming data processing system. In order to determine an optimal set of parameter values for a particular processing pipeline, a processing pipeline can be implemented with different sets of parameter values. A performance metric can be measured for each implementation to measure the performance of the processing pipeline with regards to a particular set of parameter values. The performance metrics for each implementation can be compared in order to determine optimal performance metrics. The processing pipeline can be implemented based on an optimal set of parameter values that correspond to the optimal performance metrics.

公开(公告)号：US11663212B2

公开(公告)日：2023-05-30

申请号：US17443811

申请日：2021-07-27

Applicant: Splunk Inc.

Inventor： Alexander Douglas James ,  Manu Jose ,  Sourav Pal ,  Christopher Madden Pride ,  Nicholas Robert Romito ,  Igor Braylovskiy ,  Arun Ramani ,  Ankit Jain

IPC: G06F16/00 ,  G06F16/2453 ,  G06F16/242 ,  G06F16/9535 ,  G06F40/205 ,  G06F9/54

CPC classification number: G06F16/24542 ,  G06F16/2425 ,  G06F16/9535 ,  G06F40/205 ,  G06F9/547

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives a query identifying a set of data to be processed and a manner of processing the set of data. The data intake and query system parses the query and uses a metadata catalog to dynamically identify configuration parameters of datasets and/or rules associated with the query. The identified configuration parameters are communicated to a query processing component of the data intake and query system for use in executing the query.

公开(公告)号：US11663109B1

公开(公告)日：2023-05-30

申请号：US17384491

申请日：2021-07-23

Applicant: SPLUNK INC.

Inventor： William Deaderick ,  Tanner Gilligan ,  Joseph Ari Ross

IPC: G06F11/34 ,  G06F16/245 ,  G06F11/30

CPC classification number: G06F11/3452 ,  G06F11/3006 ,  G06F16/245

Abstract: Embodiments are directed to facilitating identifying seasonal frequencies. In particular, a set of candidate seasonal frequencies associated with a time series data set are determined based on ACF peaks identified in association with a representation of the time series data set. Thereafter, the filters are applied to analyze the candidate seasonal frequencies and update the candidate seasonal frequencies by removing any candidate seasonal frequencies that fail a filter. An example filter can include comparing ACF peaks with peaks associated with SDF peaks. Thereafter, a candidate seasonal frequency of the updated candidate seasonal frequencies can be identified as a seasonal frequency for the time series data set, and such a seasonal frequency can be provided (e.g., to a user or another process) for use in performing data analysis.