Fault log pushing method, computer and storage medium

Abstract

The invention provides a fault log pushing method, a computer and a storage medium. The method comprises the steps of training one or more fault log feature models based on historical fault logs; generating a fault log in response to the system, extracting a feature field in the fault log, and matching a fault log feature model based on the feature field; in response to matching of the feature field of the fault log and the corresponding fault log feature model, associating the fault log with the corresponding fault log feature model; and packaging and pushing the fault log, other fault logs associated with the corresponding fault log feature model and additional information associated with other fault logs. According to the invention, the server logs are accurately classified by establishing the fault log feature model, the historical record result of the appearing logs is traced, on one hand, the problem is conveniently processed, positioned and analyzed, on the other hand, the screening work of a large number of logs is simplified, and the efficiency of problem analysis is improved.

Description

technical field [0001] The invention relates to the technical field of log management, in particular to a fault log pushing method, a computer and a storage medium. Background technique [0002] The analysis and monitoring of server logs is of great value. The number of logs that a server can generate is often difficult to analyze and judge with the naked eye. Regular automated analysis can help users understand the health of the server. [0003] However, the existing log management does face the following problems: [0004] 1. There are many projects and a large amount of logs. It is cumbersome to use manual commands to filter keywords on the machine to be tested; [0005] 2. After the appearance of similar logs, there is no way to know that the same or similar alarms have occurred in the past historical records, or it is difficult to query, and there are not many processing opinions reserved; [0006] 3. Testers need to screen a large number of repeated logs and recurr...

AI Technical Summary

Problems solved by technology

[0004] 1. There are many projects and a large amount of logs. It is cumbersome to use manual commands to filter keywords on the machine to be tested;

[0005] 2. After the appearance of similar logs, there is no way to know that the same or similar alarms have occurred in the past historical records, or it is difficult to query, and there are not many processing opinions reserved;

[0006] 3. Testers need to screen a large number of repeated logs and recurring logs of the same type, which brings great difficulties to analysis problems and increases the workload of test analysts

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