公开(公告)号：US11843505B1

公开(公告)日：2023-12-12

申请号：US17866195

申请日：2022-07-15

Applicant: Splunk, Inc.

Inventor： Alexander William Cruise ,  Daniel Ferstay

IPC: H04L41/0686 ,  H04L41/147 ,  G06F16/953 ,  H04L41/22

CPC classification number: H04L41/0686 ,  G06F16/953 ,  H04L41/147 ,  H04L41/22

Abstract: A computerized method is disclosed that includes operations of receiving one or more records, wherein each of the one or more records indicates a successful search query evaluation by at least one of a plurality edge devices, building a predictive analytics model based on the one or more records, wherein the predicative analytics model is configured to perform operations configured to predict enrichment data that is to be needed by one or more edge devices in the future during evaluation of a future search query, performing predictive analytics using the predictive analytics model to determine predictive enrichment data, and transmitting a first response packet to a first edge device, wherein the first response packet includes the predictive enrichment data. The records may include one or more of a data stream identifier, a search query, enrichment data that was required at a time the search query was evaluated.

公开(公告)号：US11842118B1

公开(公告)日：2023-12-12

申请号：US17948073

申请日：2022-09-19

Applicant: SPLUNK INC.

Inventor： Mingyuan Chen ,  Dylan Patricia Conway ,  Simon Tam

IPC: G06F3/04847 ,  G06F3/14 ,  G06F3/03 ,  G04G9/08 ,  G06F16/248 ,  G04G21/00 ,  G06F16/2455

CPC classification number: G06F3/14 ,  G04G9/08 ,  G04G21/00 ,  G06F3/03 ,  G06F3/04847 ,  G06F16/248 ,  G06F16/24558

Abstract: Various embodiments of the present application set forth a computer-implemented method that includes transmitting, by a wearable device, a first request that includes a first set of parameters, receiving, by the wearable device, a first set of values based on the first set of parameters, wherein the first set of values are provided by a first data source, displaying, by the wearable device, a first dashboard that includes a first visualization associated with the first set of values, determining that a first physical interaction with a first physical input device associated with the wearable device occurred, and in response to the first physical interaction, causing the first visualization to display a first data value included in the first set of values.

公开(公告)号：US11836148B1

公开(公告)日：2023-12-05

申请号：US17246452

申请日：2021-04-30

Applicant: Splunk Inc.

Inventor： Paul Boster ,  Keith Kramer ,  Cary Noel ,  Isabelle Park

IPC: G06F16/248 ,  G06F16/25 ,  G06F3/04842

CPC classification number: G06F16/248 ,  G06F16/252 ,  G06F3/04842

Abstract: Systems and methods are disclosed for implementing a data stream correlation user interface. The data stream correlation user interface enables users to view information from two sets of records, and identify fields in the two sets of records that can be matched together to “glue” together multiple records. For example, a user may specify that values in an “AcctID” field in one set of records can be matched to values in an “Account_ID” field of a second set of records. Additional identifying fields may be selected, such that multiple values can be chained together. The system can match the records of multiple sets together using designated fields, enabling users to view how many records from one set have a corresponding record in another set.

公开(公告)号：USD1006042S1

公开(公告)日：2023-11-28

申请号：US29866217

申请日：2022-09-01

Applicant: SPLUNK Inc.

Designer： Uladzimir Bahatyrevich

Abstract: FIG. 1 is a front view of a display screen with graphical user interface showing my new design;
FIG. 2 is a front view of a second image thereof;
FIG. 3 is a front view of a third image thereof;
FIG. 4 is a front view of a fourth image thereof;
FIG. 5 is a front view of a fifth image thereof; and,
FIG. 6 is a front view of a sixth image thereof.
The appearance of the graphical user interface transitions sequentially between FIGS. 1-6, including in both forward and reverse order. The process or period in which one image transitions to another forms no part of the claimed design.
The broken lines showing an electronic device illustrate environmental subject matter, whereas the remaining broken lines showing elements of the graphical user interface illustrate portions of the article. None of the broken lines form part of the claimed design.

公开(公告)号：US11824938B1

公开(公告)日：2023-11-21

申请号：US17976676

申请日：2022-10-28

Applicant: SPLUNK Inc.

Inventor： Rodrigo Paulo Quaresma ,  Neel Mehta ,  Warren Shum ,  William Huang ,  Jonathan Yeung ,  Yi Chien Lee ,  Masrur Mahmood ,  Anthony Ng ,  Allyson Aberg ,  Qi Shu ,  Neha Kumari ,  Joel Jacob

IPC: H04L67/12 ,  H04L67/63

CPC classification number: H04L67/12 ,  H04L67/63

Abstract: Described herein are techniques for integrating external sensors to an edge device, such as for ingesting data into a data intake and query system. The edge device has an internal message broker for communicating with internal (e.g., preconfigured, recognized) sensors, and an external message broker for communicating with external (e.g., customer-configured, otherwise unrecognized) sensors. The external message broker provides access to customer configuration of external sensors, but is logically quarantined from the internal message broker to prevent unwanted customer access to internal configurations. The internal and external message brokers interface only via a bridging service that transforms external sensor data into data based on customer-configurable transformations. The transformed data can be handled by the edge device and/or downstream components (e.g., a data intake and query system) in the same manner as internal sensor data.

公开(公告)号：US11824729B2

公开(公告)日：2023-11-21

申请号：US17688144

申请日：2022-03-07

Applicant: Splunk Inc.

Inventor： Horst Werner

IPC: H04L41/14 ,  G06T11/20 ,  H04L67/10 ,  H04L41/12 ,  G06T17/05

CPC classification number: H04L41/145 ,  G06T11/206 ,  G06T17/05 ,  H04L41/12 ,  H04L67/10

Abstract: In accordance with some implementations of the present disclosure, a cityscape generator is disclosed herein that may generate a three-dimensional cityscape including at least one neighborhood that represents the at least one stack of the cloud computing system, the at least one neighborhood includes a cluster of nodes associated with a set of compute resources of the at least one stack. The cluster of nodes may be located within a subdivision of the at least one neighborhood and may include a plurality of worker nodes associated with compute resources that provide services and one or more administrative nodes associated with one or more compute resources that monitor and manage the compute resources associated with the worker nodes. The subdivision further includes a beacon to indicate overall health of the subdivision.

公开(公告)号：US11822512B1

公开(公告)日：2023-11-21

申请号：US17947708

申请日：2022-09-19

Applicant: Splunk Inc.

Inventor： Jesse Miller

IPC: G06F16/13 ,  G06F16/14 ,  G06F11/30 ,  G06F11/32 ,  G06F16/9032 ,  G06F11/34

CPC classification number: G06F16/13 ,  G06F11/30 ,  G06F11/323 ,  G06F16/148 ,  G06F16/9032 ,  G06F11/3495 ,  G06F2201/86

Abstract: A graphical user interface allows a customer to specify delimiters and/or patterns that occur in event data and indicate the presence of a particular field. The graphical user interface applies a customer's delimiter specifications directly to event data and displays the resulting event data in real time. Delimiter specifications may be saved as configuration settings and systems in a distributed setting may use the delimiter specifications to extract field values as the systems process raw data into event data. Extracted field values are used to accelerate search queries that a system receives.

公开(公告)号：US11822372B1

公开(公告)日：2023-11-21

申请号：US17733617

申请日：2022-04-29

Applicant: SPLUNK Inc.

Inventor： R. David Carasso ,  Micah James Delfino ,  Johnvey Hwang

IPC: G06F16/28 ,  G06F3/0482 ,  G06F16/34 ,  G06F16/93 ,  G06F16/248 ,  G06F16/332 ,  G06F16/33 ,  G06F16/338 ,  G06F16/951 ,  G06Q10/0637 ,  G06F40/166 ,  G06F40/169 ,  G06F40/174 ,  G06Q10/00 ,  G06F3/04842

CPC classification number: G06F16/287 ,  G06F3/0482 ,  G06F3/04842 ,  G06F16/248 ,  G06F16/332 ,  G06F16/334 ,  G06F16/338 ,  G06F16/34 ,  G06F16/93 ,  G06F16/951 ,  G06F40/166 ,  G06F40/169 ,  G06F40/174 ,  G06Q10/00 ,  G06Q10/0637

Abstract: Embodiments are directed towards real time display of event records and extracted values based on at least one extraction rule, such as a regular expression. A user interface may be employed to enable a user to have an extraction rule automatically generate and/or to manually enter an extraction rule. The user may be enabled to manually edit a previously provided extraction rule, which may result in real time display of updated extracted values. The extraction rule may be utilized to extract values from each of a plurality of records, including event records of unstructured machine data. Statistics may be determined for each unique extracted value, and may be displayed to the user in real time. The user interface may also enable the user to select at least one unique extracted value to display those event records that include an extracted value that matches the selected value.

公开(公告)号：US11809492B2

公开(公告)日：2023-11-07

申请号：US18104089

申请日：2023-01-31

Applicant: Splunk Inc.

Inventor： Ram Sriharsha

IPC: G06F16/00 ,  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 ,  G06F9/3885 ,  G06F9/544 ,  G06F16/144 ,  G06F16/156 ,  G06F16/168 ,  G06F16/2246 ,  G06F16/23 ,  G06F16/2379 ,  G06F16/242 ,  G06F16/2465 ,  G06F16/24534 ,  G06F16/24568 ,  G06F16/285 ,  G06F17/16 ,  G06F17/18 ,  G06F18/2148 ,  G06F18/2185 ,  G06N20/00 ,  G06N20/20 ,  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：US11809447B1

公开(公告)日：2023-11-07

申请号：US16863757

申请日：2020-04-30

Applicant: Splunk Inc.

Inventor： Jonathan Dillman ,  Elizabeth Li ,  Cornelis Jacob Eduard de Vin

IPC: G06F16/26 ,  G06F16/28

CPC classification number: G06F16/26 ,  G06F16/283

Abstract: A system can collapse steps into an aggregate step to simplify analysis while maintaining underlying data that forms each of the steps collapsed into the aggregate step. The steps may or may not be related in a sequence or grouping of steps. The aggregate step may be a new step that comprises the data of the individual steps used to form the aggregate step. Alternatively, the aggregate step may be a virtual step that may reference or link to the steps used to form the aggregate step, but may not include the data itself. By forming aggregate steps, filtering and notification generation can be simplified. Further, extraneous data can be collapsed into a single aggregate step, which can be particularly advantageously when analyzing large data sets.