Micro-service request response viewing method and system based on nginx

Abstract

The invention provides a microservice request response viewing method and system based on nginx. The microservice request response viewing method comprises the steps that the format of an nginx log is self-defined through log_format of the nginx, lua is embedded into the nginx through lua-nginx-module, and configuration for obtaining response data returned by a back-end server is written in a coroutine of the lua; receiving the request data and the response data by the nginx, outputting the request data and the response data by utilizing the access_log of the nginx to generate the nginx log, and outputting the nginx log to a back-end server; the configuration supporting the syslog being written in nginx.conf of the nginx, and then outputting the nginx log to a syslog server; and storing the nginx log in the syslog server in the ElasticSearch, and checking the nginx log in the ElasticSearch. The method does not affect normal operation of online micro-service applications, facilitates data query, is high in applicability, is highly decoupled from back-end applications, and is easy for later maintenance and expansion. Developers can be helped to quickly analyze and diagnose the performance bottleneck under the distributed application architecture, and the development and diagnosis efficiency under the micro-service age is improved.

Description

technical field [0001] The invention relates to the technical field of industrial control, in particular to an nginx-based microservice request response checking method and system. Background technique [0002] With the continuous development of science and technology, B / S architecture has replaced C / S architecture as the mainstream model of software architecture. Management systems in various industries have begun to use B / S-based software architecture models for development. The application architecture is gradually transformed into a microservice architecture. API gateway is an architectural model that rises with microservices. It is used to solve the problem that microservices are too scattered and there is no unified entrance and exit for ingress traffic management. [0003] The existing microservice data viewing methods have the following disadvantages: [0004] 1. It is necessary to apply http input and output modules in microservices, print requests and return JSON ...

AI Technical Summary

Problems solved by technology

[0004] 1. It is necessary to apply http input and output modules in microservices, print requests and return JSON data, which seriously affects the operation of the program;

[0005] 2. If you use tcpdump packet capture analysis on the API gateway machine, because the amount of requested data is large, the workload of troubleshooting and locating specific URL requests is huge

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