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公开(公告)号：US12105740B2
公开(公告)日：2024-10-01
申请号：US18343420
申请日：2023-06-28
Applicant: Splunk Inc.
IPC: G06F16/2455 , G06F9/54 , G06F11/30 , G06F16/28 , G06Q10/10
CPC classification number: G06F16/285 , G06F9/542 , G06F11/30 , G06F16/24568 , G06F16/288 , G06Q10/10
Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.
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公开(公告)号：US20230342380A1
公开(公告)日：2023-10-26
申请号：US18343420
申请日：2023-06-28
Applicant: Splunk Inc.
IPC: G06F16/28 , G06F9/54 , G06F16/2455 , G06F11/30 , G06Q10/10
CPC classification number: G06F16/285 , G06F9/542 , G06F16/24568 , G06F11/30 , G06Q10/10 , G06F16/288
Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.
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Patent Agency Ranking
公开(公告)号：US11386127B1
公开(公告)日：2022-07-12
申请号：US17114283
申请日：2020-12-07
Applicant: Splunk Inc.
IPC: G06F16/28 , G06Q10/10 , G06F11/30 , G06F16/2455 , G06F9/54
Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.
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公开(公告)号：US10860618B2
公开(公告)日：2020-12-08
申请号：US15715077
申请日：2017-09-25
Applicant: Splunk Inc.
IPC: G06F16/28 , G06Q10/10 , G06F11/30 , G06F16/2455 , G06F9/54
Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.
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公开(公告)号：US11727039B2
公开(公告)日：2023-08-15
申请号：US17811849
申请日：2022-07-11
Applicant: Splunk Inc.
IPC: G06F16/2455 , G06F16/28 , G06Q10/10 , G06F11/30 , G06F9/54
CPC classification number: G06F16/285 , G06F9/542 , G06F11/30 , G06F16/24568 , G06F16/288 , G06Q10/10
Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.
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公开(公告)号：US20230015926A1
公开(公告)日：2023-01-19
申请号：US17811849
申请日：2022-07-11
Applicant: Splunk Inc.
IPC: G06F16/28 , G06Q10/10 , G06F11/30 , G06F16/2455 , G06F9/54
Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.
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公开(公告)号：US20190095510A1
公开(公告)日：2019-03-28
申请号：US15715077
申请日：2017-09-25
Applicant: Splunk Inc.
Abstract: Systems and methods are disclosed for implementing a low-latency data stream monitoring system. The data stream monitoring system may obtain raw data from a data source as soon after the data is generated, and may classify the data according to different topics. The topics may be published in a publish-subscribe messaging model, and data enrichment systems may subscribe to the topics to receive data for enrichment. The data enrichment systems may supplement or replace the raw data with additional information, and may further classify or reclassify the enriched data into different topics. The enriched data may then be published to an alert generation system, which may apply various criteria to the enriched data to determine that alerts should be generated, generate the alerts, and publish or transmit the alerts to client devices. Individual data streams, topics, enrichments, criteria, and alarms may be added, removed, or modified as required.
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