Supervision system and method for container cluster deployment of multi-process applications

Abstract

The invention discloses a monitoring system and method for employing multi-process applications in container cluster. The system comprises a management environment module and a business environment module. The management environment module and the business environment module are respectively deployed in different business environments or both deployed in the same business environment; the business environments comprise a physical machine environment and a virtual machine environment, the business environment module comprises a monitoring server, a service discovery component and a monitoring agent component, and the management environment module comprises a management server. The monitoring system and method for multi-process application of container cluster deployment monitor the object and process of containers in a unified mode, and provide the automatic discovery capability for the container. The newly deployed container can be automatically integrated into the monitoring system, and the stopped container can be automatically unmonitored. The containers and the monitoring information of the processes in the containers are collected while the life cycle management of the containers and the processes in the containers is supported.

Description

technical field [0001] The present invention relates to a monitoring system and method, in particular to a monitoring system and method for container cluster deployment of multi-process applications. Background technique [0002] Container technology is one of the hot technologies in cloud computing. Currently, container technology has been widely used in public cloud, private cloud, and hybrid cloud scenarios. The container itself advocates a single container to run a single process, but in actual applications, too many multi-process applications need to be deployed to run in the same container. In a cluster with multiple cloud applications, a large number of containers are created in physical clusters or virtual machine clusters, and most applications in containers have multiple processes. In the existing container monitoring systems, most monitoring systems can only monitor the state of the container itself, but cannot effectively monitor the processes deployed in the co...

AI Technical Summary

Problems solved by technology

In the existing container monitoring systems, most of the monitoring systems can only monitor the state of the container itself, but cannot effectively monitor the processes deployed in the container

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