Abnormality detection method and device for micro-service system, electronic equipment and storage medium

An anomaly detection and micro-service technology, applied in the field of data processing, can solve the problems of low efficiency of abnormal detection and weak pertinence, and achieve the effect of solving the problems of low pertinence, low solution efficiency and improving practicability.

Pending Publication Date: 2021-03-09
PING AN TECH (SHENZHEN) CO LTD
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Problems solved by technology

[0003] The present invention provides an anomaly detection method, device, and computer-readable storage medium for a microservice system, the main purpose of which is to solve the problems of low anomaly detection efficiency and poor pertinence in the microservice system

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  • Abnormality detection method and device for micro-service system, electronic equipment and storage medium
  • Abnormality detection method and device for micro-service system, electronic equipment and storage medium
  • Abnormality detection method and device for micro-service system, electronic equipment and storage medium

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Embodiment Construction

[0051] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] An embodiment of the present application provides an anomaly detection method for a microservice system. The execution subject of the anomaly detection method of the microservice system includes but is not limited to at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the anomaly detection method of the microservice system can be executed by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

[0053] refer to figure 1 As shown, it is a schematic flowchart of an anomaly detection m...

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Abstract

The invention relates to a data processing technology, and discloses an anomaly detection method for a micro-service system. The method comprises the following steps: acquiring historical time seriesdata of an object monitoring index in the micro-service system, calculating a threshold parameter of the historical time series data, and performing anomaly detection on the acquired real-time time series data by using the threshold parameter to obtain anomaly detection data; determining a time consumption record of the exception detection data by utilizing a preset entrance service index, comparing the time consumption record with a preset time consumption record library to obtain a data exception frequency, sorting the data exception frequency according to a preset sorting rule, and outputting the sorted data exception frequency to obtain an exception detection result. In addition, the invention also relates to a blockchain technology, and the time-consuming record library can be storedin a node of a blockchain. The invention further provides an exception detection device of the micro-service system, electronic equipment and a computer readable storage medium. According to the invention, the problems of low anomaly detection efficiency and poor pertinence can be solved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular to an abnormality detection method, device, electronic equipment and computer-readable storage medium of a microservice system. Background technique [0002] The fault detection of microservice system belongs to the work of operation and maintenance. In the microservice system, various objects such as the network, the application container engine (docker), and the database (Database) are involved, and there is a calling relationship between various objects, and each object has multiple monitoring indicators for monitoring objects operating status. When the microservice system fails (for example, the access time of the entry service suddenly increases), there may be exceptions with multiple associated objects. At present, the anomaly detection process of the microservice system is mainly analyzed by manual intervention, and some algorithm technologies are only u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06F11/34
CPCG06F11/302G06F11/3065G06F11/3476
Inventor 陈桢博郑立颖徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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