Coroutine-based server monitoring method, equipment and readable medium

Abstract

The invention discloses a coroutine-based server monitoring method, which comprises the following steps of: creating a plurality of server monitoring tasks, and allocating the tasks to a plurality ofthreads; creating coroutines in each thread, wherein the number of the coroutines is equal to that of the distributed tasks, and distributing one task to each coroutine; determining whether to executethe current coroutine or not according to whether the thread has network waiting or not; and in response to the decision to execute the current coroutine, enabling the coroutine to establish a communication connection with the server to perform a monitoring task. The invention further discloses computer equipment and a readable storage medium. According to the coroutine-based server monitoring method and the equipment, a large number of server resources can be monitored through a single node. Thread resources can be saved. The CPU utilization rate is increased, and system resources are fullyutilized.

Description

technical field [0001] The present invention relates to the server field, and more specifically refers to a server monitoring method, device and readable medium based on a coroutine. Background technique [0002] With the rapid development of computer technology and the continuous increase of large-scale data services and volumes, the health and normal operation of each component of the server is particularly important. In server monitoring, more attention needs to be paid to how to efficiently monitor a large number of server resources and process data in a timely manner. [0003] At present, when a single-node server monitors multiple resources, it often adopts a multi-threaded method, and the data collection of each resource is processed by a separate thread. Using this method, a large number of threads are often required to achieve concurrent processing. This method not only consumes a lot of System resources are consumed, and in network calls, there are often more IO w...

AI Technical Summary

Problems solved by technology

[0003] At present, when a single-node server monitors multiple resources, it often adopts a multi-threaded method, and the data collection of each resource is processed by a separate thread. Using this method, a large number of threads are often required to achieve concurrent processing. This method not only consumes a lot of System resources are consumed, and in network calls, there are often more IO waiting, and the CPU is not fully utilized, resulting in a limited number of resources for single-node monitoring

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