Micro service calling framework

Abstract

The invention relates to a micro service calling framework. The micro service calling framework comprises a first Web application server, a second Web application server, a first centralized configuration server, a second centralized configuration server and a micro service group. The first Web application server comprises a first Tomcat server, a first API gateway, a second Tomcat server and a second API (application program interface) gateway. The second Web application server comprises a third Tomcat server and a third API gateway. The first Web application server is connected with the micro service group through the first concentrated configuration server. The second Web application server is connected with the micro service group through the second concentrated configuration server. The first concentrated configuration server is connected with the second concentrated configuration server. According to external calling commands, the first Web application server finds application information of corresponding micro service from the first concentrated configuration server or the second concentrated configuration server, and calls the corresponding micro service from the micro service group.

Description

technical field [0001] The present invention relates to a large and micro service call architecture, in particular to a big data-based micro service call architecture. Background technique [0002] The "Intelligent Research and Judgment System" is a full-service fault real-time intelligent diagnosis platform proposed by China Mobile that integrates 4G, Volte, home broadband, customer service and other business types. Based on phenomena such as real-time alarms and business complaints, the platform obtains real-time data such as alarms, engineering, performance, and signaling through major daily production systems, and combines the fault demarcation model formed by reverse derivation from the fault experience database. Dimensional analysis and calculation, output fault diagnosis conclusion. [0003] The overall architecture includes WEB layer: using a graphical interface to provide users with intelligent analysis applications of various research and judgment systems; service...

AI Technical Summary

Problems solved by technology

[0004] According to the existing business functions and technical implementation schemes, it is not difficult to find that there are many problems, mainly in the following points: 1. The original technology is to quickly launch the corresponding functions, in terms of high availability and easy scalability of the system Inadequate consideration leads to poor interface stability and takes a long time in troubleshooting, and many functions cannot be expanded in function development, often requiring re-selection of technology; 2. The system often has performance problems in case analysis. As a result, the process often freezes, the time for data loading and analysis is too long, and the number of concurrent analysis cases is too small, etc., and the user perception is poor; 3. There are too many external interfaces of the system, and the interface technologies adopted are diversified, and interface failures are mostly used by customers Faults were reported during the process, and there was a lack of automated interface monitoring methods

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