Cache monitoring method, medium and device and computing equipment

Abstract

The embodiment of the invention provides a cache monitoring method, a medium, a device and computing equipment. The cache monitoring method comprises the following steps: collecting monitoring data according to a monitoring rule for a cache operation; reporting the monitoring data based on a hypertext transfer protocol; performing alarm judgment on the monitoring data according to an alarm rule; and carrying out alarm processing on the screened to-be-alarmed data based on the alarm judgment. Data in a traditional cache monitoring scheme are collected; data reporting, logic modularization suchas data processing is realized; data reporting and data processing are stripped from the service code; according to the method and the device provided by the invention, a cache monitoring scheme is established and runs in the form of an independent process, so that data reporting complies with a hypertext transfer protocol, cross-language multiplexing of the cache monitoring scheme can be realized, the development cost of monitoring logic is reduced, meanwhile, cache performance indexes and cache service indexes are monitored, support is provided for stability and correctness of services, andbetter experience is brought to users.

Description

technical field [0001] Embodiments of the present invention relate to the field of computer technology, and more specifically, embodiments of the present invention relate to a cache monitoring method, medium, device, and computing device. Background technique [0002] This section is intended to provide a background or context for implementations 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, 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 dir...

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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