Distributed link monitoring method based on Internet credit system

Abstract

The invention relates to a distributed link monitoring method based on an Internet credit system. The method comprises the following steps: A, setting monitoring parameters of each node of micro-service scheduling; B, setting a monitoring mode and a monitoring level of each node, and rendering each node to a scheduling configuration view through RGB three primary colors according to a relationshipamong the nodes for graphical display; C, performing link monitoring on the micro-service scheduling of each node; and when the micro-service scheduling is executed until a certain node is abnormal and after the abnormity is repaired, the micro-service scheduling engine is restarted, and the micro-service scheduling engine re-executes the logic of the node from the node which is abnormal last time according to the transmitted parameters of the position of the abnormal breakpoint last time, and recovers the scheduling logic. According to the invention, each micro-service job scheduling node can be monitored in all distributed micro-service scheduling scenarios, and after the node is abnormal and repaired, execution is continued from the abnormal node without repairing previous data.

Description

Technical field [0001] The invention relates to a monitoring method for the Internet distributed micro-service architecture, in particular to a distributed link monitoring method based on an Internet credit system. Background technique [0002] The present invention is an improvement based on the existing patent "A micro-service business scheduling engine based on Internet distribution", patent number: 2018116296013, authorized announcement number: CN 109739550 B. In the above-mentioned existing patents, in the transformation of the distributed consumer credit system of Xinwang Bank, the system has been improved from a single architecture to more than a dozen microservices. Through the self-developed distributed business scheduling engine, it can quickly The realization of business logic orchestration and business combination of microservices greatly improves development capabilities. [0003] However, in production and operation, it is found that in typical loan and repayment bus...

AI Technical Summary

Problems solved by technology

[0009] Although the monitoring and scanning for log errors has been introduced, it can only achieve broad and rough monitoring. After an error occurs, developers still need to log in to the background to view the logs, which has high operating costs and low timeliness;

[0010] (3) The timeliness of error positioning is low

[0011] For the level of log errors, developers are slow to locate the problem, and can only analyze it through the exception stack, which takes a long time to locate and affects customer experience;

[0012] (3) Slow business recovery

[0013] Because in the combined scheduling of distributed microservices, each microservice needs to cooperate at the same time to complete a complex business logic of the business. Data repair, high repair cost, long response time

Images