Automated remediation with an appliance
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.
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.