IP Library › Granted Patent US 12,381,780
Granted Patent B1
US 12,381,780 · App. 18/629,889 · Granted Aug 5, 2025

Configuring generation of time-series event data from network packets captured by remote capture agent

Inventors: Fang I. Hsiao (Berkeley, CA); Wei Jiang (San Francisco, CA); Vladimir A. Shcherbakov (Pleasanton, CA); Ramkumar Chandrasekharan (San Jose, CA); Clayton S. Ching (Sunnyvale, CA)
H04L41/0813G06F3/0481G06F3/0482G06F3/04842G06F16/26H04L41/22H04L67/12H04L67/75
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Quick Facts
Patent No.
US 12,381,780
App. No.
18/629,889
Granted
Aug 5, 2025
Kind
B1
Abstract

Disclosed embodiments receive an event stream from a remote capture agent. The event stream includes timestamped event data generated by the remote capture agent based on network traffic monitored by the remote capture agent. A graphical user interface (GUI) is caused to be displayed for obtaining configuration information for configuring the generation of time-series event data from network packets captured by the remote capture agent. A set of statistics is generated from the time-series event data, and the configuration information is updated to trigger subsequent storage and processing of at least a portion of the event stream by one or more components on a network based on one or more of the statistics, a storage limit associated with the time-series event data, an index volume of the event stream, a historical trend associated with the statistics, or input through the GUI.

Claims (38)

1. A computer-implemented method, comprising:

receiving an event stream from a remote capture agent, wherein the event stream includes timestamped event data generated by the remote capture agent based on network traffic monitored by the remote capture agent;

causing display of a graphical user interface (GUI) for obtaining configuration information for configuring the generation of time-series event data from network packets captured by the remote capture agent;

generating a set of statistics from the time-series event data; and

updating the configuration information to trigger subsequent storage and processing of at least a portion of the event stream by one or more components on a network based on one or more of the statistics, a storage limit associated with the time-series event data, an index volume of the event stream, a historical trend associated with the statistics, or input through the GUI.

2. The method of claim 1 , wherein the GUI includes a set of user-interface elements for managing the event stream containing the timestamped event data.

3. The method of claim 2 , wherein the set of user-interface elements includes a user-interface element for managing selective indexing of the event stream.

4. The method of claim 2 , wherein the set of user-interface elements includes a user-interface element for enabling automatic adjustment of the selective indexing of the event stream.

5. The method of claim 1 , wherein the statistics include one or more of a total number of events, a total incoming traffic, a total outgoing traffic, a total traffic, or an index volume for the time-series event data in the event stream.

6. The method of claim 1 , further comprising using the statistics to establish one or both of an index volume of the event stream or a historical trend associated with the index volume of the event stream.

7. The method of claim 1 , further comprising:

comparing one or both of an index volume of the event stream or a historical trend associated with the index volume of the event stream with an unused portion of the storage limit associated with the time-series event data; and

determining, based on the comparing, an amount of the event stream that can be indexed and/or stored without exceeding the storage limit associated with the time-series event data.

8. A computing device, comprising:

one or more processors; and

a non-transitory computer-readable medium having stored thereon instructions that, when executed by the one or more processors, cause the one or more processors to perform operations including:

receiving an event stream from a remote capture agent, wherein the event stream includes timestamped event data generated by the remote capture agent based on network traffic monitored by the remote capture agent;

causing display of a graphical user interface (GUI) for obtaining configuration information for configuring the generation of time-series event data from network packets captured by the remote capture agent;

generating a set of statistics from the time-series event data; and

updating the configuration information to trigger subsequent storage and processing of at least a portion of the event stream by one or more components on a network based on one or more of the statistics, a storage limit associated with the time-series event data, an index volume of the event stream, a historical trend associated with the statistics, or input through the GUI.

9. The computing device of claim 8 , wherein the GUI includes a set of user-interface elements for managing the event stream containing the timestamped event data.

10. The computing device of claim 9 , wherein the set of user-interface elements includes a user-interface element for managing selective indexing of the event stream.

11. The computing device of claim 9 , wherein the set of user-interface elements includes a user-interface element for enabling automatic adjustment of the selective indexing of the event stream.

12. The computing device of claim 8 , wherein the statistics include one or more of a total number of events, a total incoming traffic, a total outgoing traffic, a total traffic, or an index volume for the time-series event data in the event stream.

13. The computing device of claim 8 , the instructions comprising further instructions that, when executed by the one or more processors, further cause the one or more processors to perform operations including using the statistics to establish one or both of an index volume of the event stream or a historical trend associated with the index volume of the event stream.

14. The computing device of claim 8 , the instructions comprising further instructions that, when executed by the one or more processors, further cause the one or more processors to perform operations including:

comparing one or both of an index volume of the event stream or a historical trend associated with the index volume of the event stream with an unused portion of the storage limit associated with the time-series event data; and

determining, based on the comparing, an amount of the event stream that can be indexed and/or stored without exceeding the storage limit associated with the time-series event data.

15. A non-transitory computer-readable medium having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to perform operations including:

receiving an event stream from a remote capture agent, wherein the event stream includes timestamped event data generated by the remote capture agent based on network traffic monitored by the remote capture agent;

causing display of a graphical user interface (GUI) for obtaining configuration information for configuring the generation of time-series event data from network packets captured by the remote capture agent;

generating a set of statistics from the time-series event data; and

updating the configuration information to trigger subsequent storage and processing of at least a portion of the event stream by one or more components on a network based on one or more of the statistics, a storage limit associated with the time-series event data, an index volume of the event stream, a historical trend associated with the statistics, or input through the GUI.

16. The non-transitory computer-readable medium of claim 15 , wherein the GUI includes a set of user-interface elements for managing the event stream containing the timestamped event data.

17. The non-transitory computer-readable medium of claim 16 , wherein the set of user-interface elements includes a user-interface element for managing selective indexing of the event stream.

18. The non-transitory computer-readable medium of claim 16 , wherein the set of user-interface elements includes a user-interface element for enabling automatic adjustment of the selective indexing of the event stream.

19. The non-transitory computer-readable medium of claim 15 , wherein the statistics include one or more of a total number of events, a total incoming traffic, a total outgoing traffic, a total traffic, or an index volume for the time-series event data in the event stream.

20. The non-transitory computer-readable medium of claim 15 , the instructions comprising further instructions that, when executed by the one or more processors, further cause the one or more processors to perform operations including using the statistics to establish one or both of an index volume of the event stream or a historical trend associated with the index volume of the event stream.

Assignments (4)
CHANGE OF NAME Recorded Jul 22, 2025
From: SPLUNK INC.
To: SPLUNK LLC
Reel/Frame 072170/0599 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 22, 2025
From: SPLUNK LLC
To: CISCO TECHNOLOGY, INC.
Reel/Frame 072173/0058 →
CHANGE OF NAME Recorded Jan 6, 2025
From: SPLUNK INC.
To: SPLUNK LLC
Reel/Frame 069826/0060 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 8, 2024
From: HSIAO, FANG I.; JIANG, WEI; SHCHERBAKOV, VLADIMIR A.; CHANDRASEKHARAN, RAMKUMAR; CHING, CLAYTON S.
To: SPLUNK INC.
Reel/Frame 067039/0094 →
Continuity (7)
Continuation 18330299 · Jun 6, 2023
Continuation 17578264 · Jan 18, 2022
Continuation 16573937 · Sep 17, 2019
Continuation 14699807 · Apr 29, 2015
Continuation In Part 14610408 · Jan 30, 2015
Continuation In Part 14528898 · Oct 30, 2014
Continuation In Part 14253713 · Apr 15, 2014
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