Automated remediation with an appliance

• US 9,210,044 B2
• Filed: 07/27/2012
• Issued: 12/08/2015
• Est. Priority Date: 07/27/2012
• Status: Active Grant

• Current Assignee: Quest Software, Inc.
• Original Assignee: Dell Products LP (Dell Technologies Inc.)
• Inventors: Kacin, Martin, Kloba, David Douglas
• Primary Examiner(s): Gaffin, Jeffrey A
• Assistant Examiner(s): Bharadwaj, Kalpana
• Application Number:
  US13/560,762
• Publication Number:
  US 20140032449A1
• Time in Patent Office: 1,229 Days
• US Class Current: 1/1
• CPC Class Codes: H04L 41/0883 Semiautomatic configuration, e.g. proposals from system

Abstract

In one embodiment, a method includes receiving information associated with the operation of one or more network devices, indexing the information for analysis, analyzing the information to determine a pattern in the information, generating one or more labels for at least a portion of the information based at least in part on the pattern, and making the information and labels available to a remediation system.

Claims

1. A method comprising:

receiving information associated with the operation of one or more network devices;

indexing the information for analysis;

analyzing the information to determine a pattern in the information;

generating one or more labels for at least a portion of the information based at least in part on the pattern;

appending the generated labels to the portion of the information; and

making the information and labels available to a remediation system, wherein the remediation system is operable to automatically take an action in response to the information or labels.

2. The method of claim 1, wherein analyzing the information to determine a pattern in the information is performed by a machine-learning system.

3. The method of claim 2, wherein generating one or more labels for at least a portion of the information is performed by the machine-learning system.

4. The method of claim 2, wherein a user generates one or more labels for at least a portion of the information based at least in part on the pattern.

5. The method of claim 1, wherein the remediation system is operable to automatically take an action in response to the information and labels, the action comprising:

sending an alert;

sending an email;

or

executing a script.

6. The method of claim 1, wherein a user analyzes the information to determine a pattern in the information and generates one or more labels for at least a portion of the information based at least in part on the pattern.

7. The method of claim 1, wherein the information comprises unstructured data.

8. One or more computer-readable non-transitory storage media embodying software operable when executed by one or more computer systems to:

receive information associated with the operation of one or more network devices;

index the information for analysis;

analyze the information to determine a pattern in the information;

generate one or more labels for at least a portion of the information based at least in part on the pattern;

append the generated labels to the portion of the information; and

provide the information and labels to a remediation system, wherein the remediation system is operable to automatically take an action in response to the information or labels.

9. The media of claim 8, wherein a machine-learning computer system is operable to analyze the information to determine a pattern in the information.

10. The media of claim 9, wherein the machine-learning computer system is operable to generate one or more labels for at least a portion of the information.

11. The media of claim 9, wherein a user generates one or more labels for at least a portion of the information based at least in part on the pattern.

12. The media of claim 8, wherein the remediation system is operable to automatically take an action in response to the information and labels, the action comprising:

sending an alert;

sending an email;

or

executing a script.

13. The media of claim 8, wherein a user analyzes the information to determine a pattern in the information and generates one or more labels for at least a portion of the information based at least in part on the pattern.

14. The media of claim 8, wherein the information comprises unstructured data.

15. A system comprising:

a network appliance; and

one or more network devices communicatively coupled to the network appliance;

wherein the network appliance is operable to;

receive information associated with the operation of the one or more network devices;

index the information for analysis;

analyze the information to determine a pattern in the information;

generate one or more labels for at least a portion of the information based at least in part on the pattern;

append the generated labels to the portion of the information; and

provide the information and labels to a remediation system, wherein the remediation system is operable to automatically take an action in response to the information or labels.

16. The system of claim 15, wherein a machine-learning processor is operable to analyze the information to determine a pattern in the information.

17. The system of claim 16, wherein the machine-learning processor is operable to generate one or more labels for at least a portion of the information.

18. The system of claim 16, wherein a user generates one or more labels for at least a portion of the information based at least in part on the pattern.

19. The system of claim 15, wherein the system is operable to automatically take an action in response to the information and labels, the action comprising:

sending an alert;

sending an email;

or

executing a script.

20. The system of claim 15, wherein a user analyzes the information to determine a pattern in the information and generates one or more labels for at least a portion of the information based at least in part on the pattern.