Realization system for call chain based on Annotation application

Abstract

The invention discloses a realization system for a call chain based on Annotation application. The system comprises an application container layer, an information transmission layer, an information storage layer, an information processing layer and an information expression layer. The system provides a call chain mark with an annotation mode; a code initiating RPC (Remote Procedure Call) is intervened by adopting a bytecode enhancement technology so as to automatically process tag information; during class loading, a necessary tracking code is injected for distributed call and performance information by intervening an application code so as to transmit tracking information; a mainstream RPC framework is encapsulated by adopting a plugin mode, and loading and extraction of each RPC framework to TraceHeader information are shielded. According to the realization system disclosed by the invention, call events between application services of an N-tier architecture and a cluster deployment can be tracked, and quick positioning performance bottleneck of call chain information, error link details and the like are formed.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a system for implementing call chains based on Annotation. Background technique [0002] Since the amount of transaction data in the telecommunications system is very large, there are many application services, and most of the application services adopt a cluster deployment solution, it is necessary to organically combine functions and services, resulting in a more complex combination of software stacks. The complexity of the system thus increases. The more complex the system, the harder it is to troubleshoot problems, such as system failures or performance issues. Another problem is that it is difficult to see the big picture when only analyzing individual components. When a low-visibility problem occurs, the more complex the system, the longer it will take to find the cause. Worst of all, in some cases it might not even be possible to find it out. Contents of t...

AI Technical Summary

Problems solved by technology

[0002] Since the amount of transaction data in the telecommunications system is very large, there are many application services, and most of the application services adopt a cluster deployment solution, it is necessary to organically combine functions and services, resulting in a more complex software stack combination

The complexity of the system thus increases

The more complex the system, the harder it is to troubleshoot issues such as system failures or performance issues

Another problem is that it is difficult to see the big picture by analyzing only a single component, when a low-visibility problem occurs, the more complex the system, the longer it takes to find the cause

Worst of all, it might not even be possible to find out in some cases

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