Distributed system data monitoring method and device and related equipment

Abstract

The invention discloses a distributed system data monitoring method. The method comprises the steps of starting a data collection process and a data storage process according to a received data collection instruction; collecting system data through the data collection process; storing the system data in a database through the data storage process; when a data monitoring instruction is received, starting a data alarm process; reading the system data from the database through the data alarm process, comparing the system data with a corresponding standard threshold value, and sending alarm information when the system data does not meet the standard threshold value; according to the distributed system data monitoring method, system data in the distributed cluster can be effectively monitored,so that the monitoring efficiency of the system data is improved, and the resource waste is reduced. The invention further discloses a distributed system data monitoring device and equipment and a computer readable storage medium which also have the above beneficial effects.

Description

technical field [0001] The present application relates to the field of distributed cluster systems, in particular to a distributed system data monitoring method, and also to a distributed system data monitoring device, equipment, and computer-readable storage medium. Background technique [0002] The rapid development of the Internet has led to a rapid increase in Internet data. Correspondingly, massive data computing and processing technologies have emerged. Among them, distributed clusters are more common. Realizing data processing through distributed cluster systems can effectively improve data processing efficiency. In the process of data processing, data monitoring and alarming are particularly important. [0003] At present, in the field of distributed clusters, a single monitoring or alarm module is mostly used to monitor and alarm the network or traditional operation and maintenance system in real time. However, a single module is generally more suitable for the real...

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Problems solved by technology

Therefore, since the monitoring module and the alarm module in the distributed cluster system are independent of each other, the monitoring module needs to collect system data for monitoring, and the alarm module also needs to collect system data for alarm monitoring, which is equivalent to two system data collections, which not only causes It reduces the waste of time, reduces the efficiency of data alarms, and increases the space occupancy rate of the system to a great extent, resulting in a waste of resources.

Therefore, the traditional single module can no longer meet the data monitoring needs of distributed cluster systems

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