Performance monitoring method and device based on multiple processes and computing equipment

Abstract

The invention discloses a performance monitoring method and device based on multiple processes and computing equipment, the device comprises at least one first process processing module and a second process processing module, the first process processing module comprises an acquisition unit suitable for acquiring performance data of each process; the second process processing module comprises a configuration acquisition unit, a synchronization unit and an uploading unit; the configuration acquisition unit is suitable for acquiring a performance monitoring configuration file issued by the performance monitoring server; the synchronization unit is suitable for synchronously acquiring the performance data of the plurality of processes acquired by the at least one acquisition unit in a cross-process manner; and the uploading unit is suitable for summarizing the performance data of the plurality of processes and uploading the performance data to the performance monitoring server. Performance monitoring is carried out on multiple processes, so that frequent interaction with a performance monitoring server caused by multi-process monitoring in the prior art can be reduced, and adverse effects on application running are reduced.

Description

technical field [0001] The invention relates to the field of software, in particular to a multi-process-based performance monitoring method, device, and computing equipment. Background technique [0002] By monitoring the application, you can clearly understand the running status of the application and respond to possible problems in the application in a timely manner. In the prior art, the monitoring of the application is generally to monitor the performance of the processes in the application, and obtain the performance monitoring data of each process during execution, so as to obtain the operation status of the application. It is relatively simple to implement performance monitoring only for a single process in the application. However, in the actual environment, there are multiple processes in the application, and performance monitoring is performed on each process, which will generate a large amount of performance monitoring data, and each process will upload its own p...

AI Technical Summary

Problems solved by technology

However, in the actual environment, there are multiple processes in the application, and performance monitoring is performed on each process, which will generate a large amount of performance monitoring data, and each process will upload its own performance monitoring data to the performance monitoring server. Perform a large number of data transmission operations, occupy a large amount of bandwidth, and affect the performance of the application

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