IP Library Granted Patent US 12,669,965
Granted Patent B2
US 12,669,965 · App. 18/465,253 · Granted Jun 30, 2026

Utilizing generative artificial intelligence to improve storage system management

Inventors: Prakash Darji (Santa Clara, CA); Farhan Abrol (Berkeley, CA); Naveen Neelakantam (Mountain View, CA)
Assignee: EVERPURE, INC.
G06F3/0664G06F3/0619G06F3/0631G06F3/0653G06F3/067G06F9/5077
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Quick Facts
Patent No.
US 12,669,965
App. No.
18/465,253
Filed
Sep 12, 2023
Granted
Jun 30, 2026
Kind
B2
Art Unit
2181
USPC
711/154
Abstract

Content including information describing an issue with a storage system is received. The content is analyzed by a generative artificial intelligence (AI) model to identify the issue described by the content. A solution for the issue is determined based on at least one of information associated with the storage system or information associated with one or more other storage systems. A response including a description of the solution for the issue is generated.

Claims (55)

1 . A system comprising:

a memory; and

a processing device, operatively coupled to the memory, the processing device configured to:

receive content comprising information describing an issue with a storage system;

identify, by a generative artificial intelligence (AI) model executing on the processing device and trained on at least one of information associated with the storage system or information associated with one or more other storage systems, the issue described by the content;

select a solution from a plurality of solutions based on corresponding success rates for solving the issue; and

present a response comprising a description of the solution for the issue, including information indicating that the selected solution corresponds to a higher success rate of solving the issue than remaining solutions of the plurality of solutions.

2 . The system of claim 1 , wherein to present the response, the processing device is further configured to:

generate a prompt for permission to implement the solution for the issue; and

implement the solution for the issue while bypassing user interaction in response to receiving the permission.

3 . The system of claim 2 , wherein to implement the solution, the processing device is further configured to:

migrate one or more workloads from a first component of the storage system to a second component of the storage system.

4 . The system of claim 2 , wherein to implement the solution, the processing device is further configured to:

perform at least one of a software update or a software upgrade on the storage system.

5 . The system of claim 1 , wherein to select the solution, the processing device is further configured to:

identify one or more changes to a configuration of the storage system as the solution to the issue, wherein the description of the solution comprises a description of the one or more changes to the configuration.

6 . The system of claim 5 , wherein the response comprises at least one of a picture or a video describing the one or more changes to the configuration.

7 . The system of claim 1 , wherein the information associated with the storage system and the information associated with the one or more other storage systems comprises at least one of a software change or a hardware change of the storage system.

8 . The system of claim 1 , wherein the content comprises text describing the issue with the storage system, and wherein the generative AI model utilizes natural language processing to identify the issue described by the text.

9 . The system of claim 1 , wherein select the solution, the processing device is further configured to:

access a database comprising other issues associated with a plurality of storage systems;

identify one or more of the other issues that match the issue described by the content; and

identify corresponding solutions associated with the one or more other issues.

10 . A method, comprising:

receiving content comprising information describing an issue with a storage system;

identifying, by a generative artificial intelligence (AI) model executed on a processing device and trained on at least one of information associated with the storage system or information associated with one or more other storage systems, the issue described by the content;

selecting a solution from a plurality of solutions based on corresponding success rates for solving the issue; and

presenting a response comprising a description of the solution for the issue, including information indicating that the selected solution corresponds to a higher success rate of solving the issue than remaining solutions of the plurality of solutions.

11 . The method of claim 10 , wherein presenting the response comprises:

generating a prompt for permission to implement the solution for the issue; and

implementing the solution for the issue while bypassing user interaction in response to receiving the permission.

12 . The method of claim 11 , wherein implementing the solution comprises:

migrating one or more workloads from a first component of the storage system to a second component of the storage system.

13 . The method of claim 11 , wherein implementing the solution comprises:

performing at least one of a software update or a software upgrade on the storage system.

14 . The method of claim 10 , wherein selecting the solution comprises:

identifying one or more changes to a configuration of the storage system as the solution to the issue, wherein the description of the solution comprises a description of the one or more changes to the configuration.

15 . A non-transitory computer readable storage medium storing instructions which, when executed, cause a processing device to:

receive content comprising information describing an issue with a storage system;

identify, by a generative artificial intelligence (AI) model executing on the processing device and trained on at least one of information associated with the storage system or information associated with one or more other storage systems, the issue described by the content;

select a solution from a plurality of solutions based on corresponding success rates for the issue; and

present a response comprising a description of the solution for the issue, including information indicating that the selected solution corresponds to a higher success rate of solving the issue than remaining solutions of the plurality of solutions.

16 . The non-transitory computer readable storage medium of claim 15 , wherein to present the response, the processing device is further caused to:

generate a prompt for permission to implement the solution for the issue; and

implement the solution for the issue while bypassing user interaction in response to receiving the permission.

17 . The non-transitory computer readable storage medium of claim 16 , wherein to implement the solution, the processing device is further caused to:

migrate one or more workloads from a first component of the storage system to a second component of the storage system.

18 . The non-transitory computer readable storage medium of claim 16 , wherein to implement the solution, the processing device is further caused to:

perform at least one of a software update or a software upgrade on the storage system.

19 . The non-transitory computer readable storage medium of claim 15 , wherein to select the solution, the processing device is further caused to:

identify one or more changes to a configuration of the storage system as the solution to the issue, wherein the description of the solution comprises a description of the one or more changes to the configuration.

20 . The method of claim 10 , wherein selecting the solution comprises:

accessing a database comprising other issues associated with a plurality of storage systems;

identifying one or more of the other issues that match the issue described; and

identifying corresponding solutions associated with the one or more other issues.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 14, 2023
From: DARJI, PRAKASH; ABROL, FARHAN; NEELAKANTAM, NAVEEN
To: PURE STORAGE, INC.
Reel/Frame 064899/0561 →
Continuity (20)
Continuation In Part 17931418 · Sep 12, 2022
Continuation In Part 17537624 · Nov 30, 2021
Continuation 16842427 · Apr 7, 2020
Continuation In Part 16353775 · Mar 14, 2019
Continuation 16174488 · Oct 30, 2018
Continuation In Part 15987875 · May 23, 2018
Provisional Application 63579258 · Aug 28, 2023
Provisional Application 63378768 · Oct 7, 2022
Provisional Application 63375868 · Sep 16, 2022
Provisional Application 62838738 · Apr 25, 2019
Provisional Application 62769277 · Nov 19, 2018
Provisional Application 62768952 · Nov 18, 2018
Provisional Application 62692602 · Jun 29, 2018
Provisional Application 62674688 · May 22, 2018
Provisional Application 62674703 · May 22, 2018
Provisional Application 62643641 · Mar 15, 2018
Provisional Application 62575966 · Oct 23, 2017
Provisional Application 62549399 · Aug 23, 2017
Provisional Application 62518146 · Jun 12, 2017
Related Publication 20230418524A1 · Dec 28, 2023
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