Website fault analysis method and device, storage medium and computer equipment

Abstract

The invention discloses a website fault analysis method and device, a storage medium and computer equipment. The method comprises the steps: using at least one first statistical method to conduct first-time numerical statistics on numerical fields and / or non-numerical fields in log data, and obtaining a first numerical statistics sequence; using at least four different second statistical methods to conduct second numerical statistics on the first numerical statistics sequence, and obtaining a second numerical statistics sequence; removing a second numerical value statistical sequence with a statistical error exceeding a preset error in the second numerical value statistical sequence aiming at each first numerical value statistical sequence to obtain a third numerical value statistical sequence aiming at each first numerical value statistical sequence and used for analyzing website faults; and based on a voting result of the statistical result of the third numerical value statistical sequence of the at least one first numerical value statistical sequence, determining an exception which may cause the website fault and an exception moment. According to the disclosed scheme, website exception can be automatically monitored.

Description

technical field [0001] The invention relates to the fields of computer technology and network technology, in particular to a method, device, storage medium and computer equipment for analyzing website failures. Background technique [0002] The system log of the website is important data for analyzing, locating, and solving website failures. In the prior art, when dealing with website failures, the operation and maintenance engineers usually manually check the system logs to analyze, locate and solve the failures. Therefore, prior art solutions have the following disadvantages: [0003] 1. It requires a lot of labor costs to screen massive logs, and the analysis and handling of faults completely depends on the personal experience and understanding of the entire system architecture of the operation and maintenance engineer. [0004] 2. A lot of repetitive work is required for the same failure. [0005] 3. The manual investigation and repair of problems takes a long time, w...

AI Technical Summary

Problems solved by technology

[0003]1. It requires a lot of labor costs to screen massive logs, and the analysis and handling of faults completely depends on the personal experience of the operation and maintenance engineer and the understanding of the entire system architecture

[0004]2. A lot of repetitive work is required for the same failure

[0005]3. The manual investigation and repair of problems takes a long time, which increases the duration and cost of website service failures

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