Flexible micro-service monitoring framework architecture

Abstract

The invention discloses flexible micro-service monitoring framework architecture. On the basis of combination of advantages of the traditional distributed system monitoring technology and the distributed system tracking technology based on the service invoking chain, innovation points of a configuration management center, a micro-service instance client agent, and a reusable monitoring alarm template and the like are provided, so that defects of monitoring information incompleteness, low flexibility, and low extensibility and the like are overcome. With a non-intrusive service mode, the customization capability and reliability of the collection are improved. On the basis of a warning processing strategy issued by configuration and a reusable alarm policy template, the customized extensionprocessing capacity of warning is enhanced. According to a cluster analysis algorithm, statistic analysis is carried out on real-time and historical data and intelligent alarm and determination are carried out, so that the warning accuracy is improved. The flexible micro-service monitoring framework architecture has an important practical significance in ensuring the safe and stable operation of power system application services.

Description

technical field [0001] The invention relates to a flexible micro-service monitoring framework, belonging to the technical fields of micro-service analysis, monitoring, and flexible control. Background technique [0002] The characteristics of microservices determine that the deployment of application function modules is distributed. In the past, in the single-architecture application environment, all businesses were on the same server. When errors and exceptions occurred on the server, problems could be quickly located and handled. However, in Under the microservice architecture, most functional modules are deployed and run independently, interacting with each other through pre-arranged stateless services, and the front-end and back-end business flows will be processed and delivered by multiple microservices. Access and abnormal information, statistics and analysis of business flow errors and abnormal information to assist in quickly locating problems and alarms, provide fle...

AI Technical Summary

Problems solved by technology

However, Dapper only provides tracking of call time, and does not provide functions such as error tracking and business monitoring, which cannot better meet the needs of daily application monitoring of business systems

Taobao Eagle Eye can analyze the entry URL on the call chain and the call status of application services between various distributed systems, so as to find the bottleneck of request processing and locate the source of error exceptions, but the business side needs to set up business buried points on the call chain Logs, to associate the network calls of each system with the actual business content, require code implantation, and the scalability is slightly poor

Images