System resource monitoring method and related equipment based on container cloud

Abstract

The present invention relates to the technical field of system resource monitoring, a container cloud-based system resource monitoring method and related equipment, the method comprising: acquiring the deployment status of a container orchestration framework and then generating a framework list; acquiring the running status of applications in each container orchestration framework Information; according to the running status information, it is determined that the resources of the container orchestration framework are insufficient, and an alarm message is generated and pushed to the expansion executor; after obtaining the physical machine resource configuration data of the container orchestration framework marked as insufficient resources and the physical machine resource occupation data occupied by the application, record it In the corresponding recording node; after the expansion is completed, reconfigure and restart the application to obtain the current physical machine resource configuration data of the container orchestration framework; generate an expansion report. The present invention monitors the running state of the application on the container cloud platform, and timely warns when the system resources are insufficient, so that the expansion demand of the container arrangement framework can be quickly responded, and the historical data before and after the expansion is retained.

Description

technical field [0001] The present invention relates to the technical field of system resource monitoring, in particular to a container cloud-based system resource monitoring method, device, device and storage medium. Background technique [0002] As the application of distributed computing resources is gradually popularized, container cloud technology has begun to be favored by various users. Internet cloud computing service providers have also developed their own products through container cloud technology according to their own characteristics. For example, by integrating container cloud technology Alibaba Cloud and Tencent Cloud in their own large product series, or the deeply customized Ping An Padis platform, etc., these products are distributed platforms based on the application container engine Docker, which can complete the rapid creation, operation, and rapid scaling of applications. Capacity expansion and fault self-healing. The use of these container cloud platf...

AI Technical Summary

Problems solved by technology

[0004] 1) Only one physical host can be monitored at the same time, which is equivalent to single-node monitoring and cannot meet the needs of multi-node monitoring. However, applications running on the same container cloud platform may be distributed on machines managed by different container orchestration frameworks It runs within resources, so it may run on different physical hosts. Single-node monitoring cannot meet the monitoring needs of actual resource usage of such applications.

[0005] 2) Only real-time status viewing can be performed, but historical data cannot be viewed, so it cannot provide historical data support for some functions used to analyze the running trends of applications and services on the container cloud platform

[0006] 3) The early warning function is weak, lacking the function of telephone or email alarm, which makes the container orchestration framework unable to give early warning when the physical machine resources are insufficient. However, in the actual operation of the container cloud platform, especially when an application is restarted or created , Insufficient physical machine resources will cause the application to fail to start or be successfully created. If it cannot be processed in time, the corresponding business function of the application will be paralyzed

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