Cluster resource monitoring system based on service discovery

Abstract

The invention relates to a cluster resource monitoring system based on service discovery. According to the system, omnibearing monitoring indexes of a host and a cluster can be checked through a container cloud platform, and an alarm is set according to the monitoring indexes of the host and the cluster; an alarm assembly can push alarm information to a user in various modes, can check all historical alarm information in the container cloud platform, and can also perform operation on the alarm information, such as alarm confirmation, alarm recovery and the like. According to the invention, thecontainer cloud platform can dynamically sense the operation of newly adding or deleting the host of the container cluster and the non-container cluster, manual intervention is not needed, componentsnecessary for monitoring can be automatically installed or uninstalled, manual participation of system operation and maintenance personnel is reduced, the operation state of the cluster is known in time, and major production accidents are avoided.

Description

technical field [0001] The invention relates to the field of cluster resource monitoring, in particular to a cluster resource monitoring system based on service discovery. Background technique [0002] In recent years, with the popularity of cloud native and microservices, Kubernetes, as an open source platform that can manage containerized workloads, has become a benchmark in the industry. The traditional application deployment method is to install the application through plug-ins or scripts. The disadvantage of this is that the operation, configuration, management, and all life cycles of the application will be bound to the current operating system. This is not conducive to the upgrade, update, and recovery of the application. roll and other operations, or some functions can be realized by creating a virtual machine, but the virtual machine is very heavy and has poor portability; in the Kubernetes ecosystem, it is deployed in the form of containers, each container is isola...

AI Technical Summary

Problems solved by technology

For newly added or deleted hosts in the Kubernetes cluster, the monitoring component can automatically realize service discovery to cope with host changes, and the monitoring component can seamlessly collect indicators and alert the newly added or deleted hosts, but for When adding or deleting hosts in non-Kubernetes clusters, the monitoring components in the existing technology cannot detect these changes, requiring the manual participation of operation and maintenance personnel, resulting in low maintenance efficiency

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