Configurable action generation for a remote network management platform

Patent metadata

Field	Value
Publication number	US-11734025-B2
Application number	US-202017070391-A
Country	US
Kind code	B2
Filing date	Oct 14, 2020
Priority date	Oct 14, 2020
Publication date	Aug 22, 2023
Grant date	Aug 22, 2023

Abstract

An embodiment includes storage containing configuration and operational data related to a managed network, an action configurator application, and an action execution application. The embodiment also includes one or more processors configured to: receive, by way of the action configurator application, a specification of an action type; receive, by way of the action configurator application, a specification of an input source for actions generated using the action type; receive, by way of the action configurator application, a specification of one or more target users and an output modality for the actions; receive, by way of the action configurator application, a specification of a condition that causes the actions to be generated; determine, that the condition has been satisfied; and cause the action execution application to execute the action generator on the input source, and produce an output for one of the target users by way of the output modality.

First claim

What is claimed is:

1. A system comprising:
persistent storage containing configuration and operational data related to a managed network, an action configurator application, and an action execution application; and
one or more processors configured to:
receive, by way of the action configurator application, a specification of an action type from a plurality of supported action types;
receive, by way of the action configurator application, a specification of an input source for actions generated using the action type, wherein the input source identifies a subset of the configuration and operational data;
receive, by way of the action configurator application, a specification of one or more target users and an output modality for the actions, wherein the one or more target users are identified based on a group specified as part of the managed network;
receive, by way of the action configurator application, a specification of a condition that causes the actions to be generated;
store, in the persistent storage, representations of the action type, input source, the target users, the output modality, and the condition as an action generator;
determine that the condition has been satisfied; and
in response to determining that the condition has been satisfied, cause the action execution application to: execute the action generator on the input source, and produce an output for one of the target users by way of the output modality, and wherein the output modality is a section of a particular graphical user interface that the system provides to the target users.

2. The system of claim 1 , wherein the input source identifies a database table or a log file stored within the persistent storage.

3. The system of claim 1 , wherein the output modality is a section of a particular graphical user interface that the system provides to the target users.

4. The system claim 1 , wherein the one or more target users have a specified persona or role with respect to the managed network.

5. The system of claim 1 , wherein the condition is triggered based on a periodic schedule.

6. The system of claim 1 , wherein the condition is triggered based on the one of the target users requesting a web page.

7. The system of claim 1 , wherein the action configurator application is disposed within a computational instance of a remote network management platform, and wherein the action execution application is disposed within a central instance of the remote network management platform.

8. The system of claim 1 , wherein the action type is a rule-based model, and wherein the one or more processors are further configured to:
receive, by way of the action configurator application, a specification of one or more rules for the rule-based model, wherein the one or more rules are based on Boolean, arithmetic, or propositional logic.

9. The system of claim 1 , wherein the action type is a machine- learning-based model, and wherein the one or more processors are further configured to:
receive, by way of the action configurator application, a specification of a technique of the machine-learning-based model, wherein the technique is based on one or more of classification, similarity or clustering.

10. The system of claim 1 , wherein the action type is a process-mining-based model, and wherein the condition is determined by values from the input source or a key performance indicator related to the input source.

11. The system of claim 1 , wherein the action type is a decision-tree-based model, and wherein the one or more processors are further configured to:
receive, by way of the action configurator application, a specification of a plurality of variables with which to generate a decision tree, wherein the variables are from the input source.

12. The system of claim 1 , wherein the one or more processors are further configured to:
receive, by way of the action configurator application, a specification of a filter to apply to the input source, wherein the filter is a Boolean expression, and wherein the action generator is executed on the input source as filtered.

13. A computer-implemented method comprising:
receiving, by way of an action configurator application, a specification of an action type from a plurality of supported action types;
receiving, by way of the action configurator application, a specification of an input source for actions generated using the action type, wherein the input source identifies a subset of configuration and operational data related to a managed network;
receiving, by way of the action configurator application, a specification of one or more target users and an output modality for the actions, wherein the one or more target users are identified based on a group specified as part of the managed network;
receiving, by way of the action configurator application, a specification of a condition that causes the actions to be generated;
storing, in persistent storage, representations of the action type, input source, the target users, the output modality, and the condition as an action generator;
determining that the condition has been satisfied; and
in response to determining that the condition has been satisfied, causing an action execution application to: execute the action generator on the input source, and produce an output for one of the target users by way of the output modality, and wherein the output modality is a section of a particular graphical user interface that a system provides to the target users.

14. The computer-implemented method of claim 13 , wherein the condition is triggered based on a periodic schedule.

15. The computer-implemented method of claim 13 , wherein the condition is triggered based on the one of the target users requesting a web page.

16. The computer-implemented method of claim 13 , wherein the action type is a rule-based model, the computer-implemented method further comprising:
receiving, by way of the action configurator application, a specification of one or more rules for the rule-based model, wherein the one or more rules are based on Boolean, arithmetic, or propositional logic.

17. The computer-implemented method of claim 13 , wherein the action type is a machine-learning-based model, the computer-implemented method further comprising:
receiving, by way of the action configurator application, a specification of a technique of the machine-learning-based model, wherein the technique is based on one or more of classification, similarity or clustering.

18. The computer-implemented method of claim 13 , wherein the action type is a process-mining-based model, and wherein the condition is determined by values from the input source or a key performance indicator related to the input source.

19. The computer-implemented method of claim 13 , wherein the action type is a decision-tree-based model, the computer-implemented method further comprising:
receiving, by way of the action configurator application, a specification of a plurality of variables with which to generate a decision tree, wherein the variables are from the input source.

20. An article of manufacture including a non-transitory computer-readable medium, having stored thereon program instructions that, upon execution by a computing system, cause the computing system to perform operations comprising:
receiving, by way of an action configurator application, a specification of an action type from a plurality of supported action types;
receiving, by way of the action configurator application, a specification of an inpu

Assignees

• Servicenow Inc

Inventors

• Swvigaradoss Jebakumar Mathuram Santhosam
• Jain Sarthak
• Mohammed Sharfuddin
• Singh Manjeet
• Kataria Sakshi

Classifications

• H04L43/20

  the monitoring system or the monitored elements being virtualised, abstracted or software-defined entities, e.g. SDN or NFV · CPC title

• H04L41/147

  for predicting network behaviour · CPC title

• H04L41/0895

  Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements · CPC title

• G06F9/4494 Primary

  data driven · CPC title

• H04L41/0853 Primary

  by actively collecting configuration information or by backing up configuration information · CPC title