Granted Patent B2

US 12,554,374 · App. 18/402,064 · Granted Feb 17, 2026

Inventors: Ying Mo (Beijing, CN); Rui Liu (Beijing, CN); Yue Chen (Beijing, CN); Ya Xiao (Beijing, CN); Hu Wang (Beijing, CN); Peng Hui Jiang (Beijing, CN); Qi Feng Huo (Beijing, CN)

Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION

G06F3/04815G06F3/0484G06F11/3414

Abstract

Claims (70)

1 . A computer-implemented method, comprising operations for:

storing environment data of an original customer environment in a data hub, wherein the original customer environment moves one or more workloads from a current state to a desired state, and wherein each of the one or more workloads comprises a container and data about the container;

using the environment data from the data hub to create a simulated customer environment;

playing the simulated customer environment;

in response to the playing,

identifying an issue of a workload of the one or more workloads in the original customer environment using the simulated customer environment; and

identifying a solution for the issue;

providing a recommendation with the solution for the issue in the original customer environment;

automatically initiating application of the recommendation to the original customer environment to resolve the issue; and

verifying that the application of the recommendation resolved the issue by running the workload.

2 . The computer-implemented method of claim 1 , further comprising operations for:

recording the environment data of the original customer environment; and

transporting the environment data to the data hub, wherein the environment data comprises metadata, status, events, workload logs, and metrics of one or more resources.

3 . The computer-implemented method of claim 1 , wherein the original customer environment of a customer cluster comprises a first distributed key-value store with data, wherein a player cluster comprises a second distributed key-value store that stores copies of the data in the first distributed key-value store, and wherein the data comprises the environment data from the data hub.

4 . The computer-implemented method of claim 1 , wherein the simulated customer environment is played in response to receiving operations comprising: start, pause, continue, fast-forward, rewind, and position.

5 . The computer-implemented method of claim 1 , wherein playing the simulated customer environment further comprises operations for:

identifying a start time in a timeline of the simulated customer environment;

identifying create, update, and delete operations from one or more audit logs after the start time; and

applying the create, update, and delete operations to play the simulated customer environment.

6 . The computer-implemented method of claim 1 , further comprising operations for:

retrieving a subset of the environment data based on a portion of a timeline of the simulated customer environment; and

generating another simulated customer environment using the subset of the data that represents the portion of the timeline.

7 . The computer-implemented method of claim 1 , wherein one or more container orchestration clients consume the simulated customer environment, and wherein the one or more container orchestration clients perform cluster status manual exploration or cluster status auto-analysis.

8 . A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations for:

storing environment data of an original customer environment in a data hub, wherein the original customer environment moves one or more workloads from a current state to a desired state, and wherein each of the one or more workloads comprises a container and data about the container;

using the environment data from the data hub to create a simulated customer environment;

playing the simulated customer environment;

in response to the playing,

identifying an issue of a workload of the one or more workloads in the original customer environment using the simulated customer environment; and

identifying a solution for the issue, wherein the solution comprises allocating storage to the workload;

providing a recommendation with the solution for the issue in the original customer environment;

automatically initiating application of the recommendation to the original customer environment to resolve the issue; and

verifying that the application of the recommendation resolved the issue by running the workload.

9 . The computer program product of claim 8 , wherein the program instructions are executable by the processor to cause the processor to perform further operations for:

recording the environment data of the original customer environment; and

transporting the environment data to the data hub, wherein the environment data comprises metadata, status, events, workload logs, and metrics of one or more resources.

10 . The computer program product of claim 8 , wherein the original customer environment of a customer cluster comprises a first distributed key-value store with data, wherein a player cluster comprises a second distributed key-value store that stores copies of the data in the first distributed key-value store, and wherein the data comprises the environment data from the data hub.

11 . The computer program product of claim 8 , wherein the simulated customer environment is played in response to receiving operations comprising: start, pause, continue, fast-forward, rewind, and position.

12 . The computer program product of claim 8 , wherein, when playing the simulated customer environment, wherein the program instructions are executable by the processor to cause the processor to perform further operations for:

identifying a start time in a timeline of the simulated customer environment;

identifying create, update, and delete operations from one or more audit logs after the start time; and

applying the create, update, and delete operations to play the simulated customer environment.

13 . The computer program product of claim 8 , wherein the program instructions are executable by the processor to cause the processor to perform further operations for:

retrieving a subset of the environment data based on a portion of a timeline of the simulated customer environment; and

generating another simulated customer environment using the subset of the data that represents the portion of the timeline.

14 . The computer program product of claim 8 , wherein one or more container orchestration clients consume the simulated customer environment, and wherein the one or more container orchestration clients perform cluster status manual exploration or cluster status auto-analysis.

15 . A computer system, comprising:

one or more processors, one or more computer-readable memories and one or more computer-readable, tangible storage devices; and

program instructions, stored on at least one of the one or more computer-readable, tangible storage devices for execution by at least one of the one or more processors via at least one of the one or more computer-readable memories, to perform operations comprising:

storing environment data of an original customer environment in a data hub, wherein the original customer environment moves one or more workloads from a current state to a desired state, and wherein each of the one or more workloads comprises a container and data about the container;

using the environment data from the data hub to create a simulated customer environment;

playing the simulated customer environment;

in response to the playing,

identifying an issue of a workload of the one or more workloads in the original customer environment using the simulated customer environment; and

identifying a solution for the issue, wherein the solution comprises allocating storage to the workload;

providing a recommendation with the solution for the issue in the original customer environment;

automatically initiating application of the recommendation to the original customer environment to resolve the issue; and

verifying that the application of the recommendation resolved the issue by running the workload.

16 . The computer system of claim 15 , wherein the program instructions perform further operations comprising:

recording the environment data of the original customer environment; and

transporting the environment data to the data hub, wherein the environment data comprises metadata, status, events, workload logs, and metrics of one or more resources.

17 . The computer system of claim 15 , wherein the original customer environment of a customer cluster comprises a first distributed key-value store with data, wherein a player cluster comprises a second distributed key-value store that stores copies of the data in the first distributed key-value store, and wherein the data comprises the environment data from the data hub.

18 . The computer system of claim 15 , wherein the simulated customer environment is played in response to receiving operations comprising: start, pause, continue, fast-forward, rewind, and position.

19 . The computer system of claim 15 , wherein, when playing the simulated customer environment, the program instructions perform further operations comprising:

identifying a start time in a timeline of the simulated customer environment;

identifying create, update, and delete operations from one or more audit logs after the start time; and

applying the create, update, and delete operations to play the simulated customer environment.

20 . The computer system of claim 15 , wherein the program instructions perform further operations comprising:

retrieving a subset of the environment data based on a portion of a timeline of the simulated customer environment; and

generating another simulated customer environment using the subset of the data that represents the portion of the timeline.

Assignments (1)

Continuity (1)

References Cited (26)