Cache monitoring method, medium, apparatus and computing device

Abstract

Embodiments of the present invention provide a cache monitoring method, medium, apparatus, and computing device. The cache monitoring method includes the following steps: collecting monitoring data according to monitoring rules for cache operations; reporting the monitoring data based on a hypertext transfer protocol; performing an alarm judgment on the monitoring data according to an alarm rule; The alarm data to be alarmed is processed. By modularizing the logic of data collection, data reporting, and data processing in the traditional cache monitoring solution, and separating data reporting and data processing from business code, they run as independent processes, so that data reporting complies with the hypertext transfer protocol. Realize the cross-language reuse of the cache monitoring solution, reduce the development cost of monitoring logic, and monitor the cache performance indicators and cache business indicators at the same time, providing support for the stability and correctness of the business, and bringing a better experience to users.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer technology, and more particularly, embodiments of the present invention relate to a cache monitoring method, medium, apparatus, and computing device. Background technique [0002] This section is intended to provide a background or context for the embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] At present, Java (a computer programming language) application cache monitoring scheme usually uses bytecode enhancement or the client actively calls API (Application Programming Interface, API for short, application programming interface) to monitor the code. The implementation method is strongly coupled with the Java language, and the monitoring logic cannot be implemented across languages; the monitoring code and the business are coupled together, the quality of the monitoring code d...

AI Technical Summary

Problems solved by technology

[0003] At present, the Java (a computer programming language) application cache monitoring solution usually uses bytecode enhancement or the client actively calls the API (Application Programming Interface, referred to as API, application programming interface) to monitor the code. The implementation method is strongly coupled with the Java language, and the monitoring logic cannot be cross-language; the monitoring code and business are coupled together, and the quality of the monitoring code directly affects the quality of the application, resulting in high quality requirements for the monitoring code; moreover, the cache monitoring solution is more Mostly it is the monitoring of cache performance indicators. The cache monitoring indicators are mainly limited to the number of cache hits, the number of misses, the size of cache values, the time-consuming cache client method calls, hit rate, serialization and deserialization, etc., and these Indicators cannot fully reflect the correctness of the business, that is, on the premise that the performance indicators meet the requirements, the correctness of the business cannot be guaranteed

[0004] The reliability of the cached data directly affects the reliability and correctness of the business, so it is necessary to monitor the cached business indicators, and the current cache monitoring solution still has a gap in the correspondence with the business indicators

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