Method and system for realizing distributed automatic alarm processing of cloud computing platform

Abstract

The invention discloses a method and a system for realizing distributed automatic alarm processing of a cloud computing platform, which belong to the technical field of automatic operation and maintenance of the cloud computing platform, are realized based on a cloud native technology, and comprise an alarm subscription part and an alarm processing part, the alarm subscription part realizes an alarm subscription resource controller and manages alarm subscription resources, and the alarm processing part processes the alarm subscription resources. Declaring alarm information needing to be processed in the alarm subscription resources; the alarm processing part comprises an alarm processing server, an alarm processing dispatcher and an alarm processing agent, and the alarm processing part receives an alarm, matches an alarm subscription resource, issues an alarm to-be-processed task, executes specific alarm processing logic and finally realizes automatic processing of the alarm. According to the method, the operation and maintenance problems in various scenes can be solved, alarms are automatically processed, manual errors are reduced, the operation and maintenance accuracy is improved, massive alarm information is processed, the efficiency is improved, the labor cost is released, fault tolerance is supported, and the expandability is high.

Description

technical field [0001] The invention relates to the technical field of automatic operation and maintenance of a cloud computing platform, in particular to a method and system for a cloud computing platform to realize distributed automatic processing of alarms. Background technique [0002] With the large-scale use of cloud computing platforms, traditional applications have started cloud operations, and cloud computing technologies have been used to provide application microservices. As the cloud computing platform supports more and more applications, the cloud computing platform manages many nodes, and the operating systems and CPU architectures of the managed physical machines are also different. The multi-cluster and large-scale application scenarios in the cloud computing Dimensions put forward higher requirements. On the cloud computing platform, providers of cloud computing resources and container services need to accurately monitor the status of the running services a...

AI Technical Summary

Problems solved by technology

Second, the IT operation and maintenance pressure is high and the operation and maintenance efficiency is low. The huge data flow leads to a sharp increase in the workload of the operation and maintenance personnel. Even 7*24 hours of monitoring cannot find out the root cause of the problem, which affects business growth and users. to experience

Third, there is a lack of a unified management platform. The business system involves many servers, services, applications, databases, and network devices. It lacks a unified comprehensive operation and maintenance management and control platform, which makes operation and maintenance difficult and expensive.

In addition, in the operation and maintenance process, there are many work items that can be cured, routine and complicated. Manually writing scripts, executing commands, etc., is inefficient, risky, and untimely

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