Fault Fiagnosis Method of Micro-service Link based on QoS Reliability Comparison

Abstract

In recent years, cloud native technology represented by micro-services is the main technical way to help enterprises realize digital transformation. However, while micro-service technology provides various convenience benefits, it also brings various operation and maintenance problems such as difficult fault diagnosis. In view of the large number of micro-services and long call links, which make it difficult to locate user fault problems, this paper carries out research on the key technologies of micro-service link enhancement based on QoS measurement, focuses on the fault diagnosis of micro-service links, and puts forward an end-to-end service call link fault diagnosis method. Through the comparison of reliability similarity of micro-service links, it can realize the rapid location of fault types and fault locations, Experiments show that the accuracy of this method to judge the fault type and location is more than 90%, which can meet the needs of developers to locate faults quickly in the production environment.