Elastic expansion method based on container cluster and application system thereof

Abstract

The present invention provides an elastic expansion method based on a container cluster and an application system thereof. The method comprises the steps of (1) creating a container cluster, and setting the threshold of elastic expansion, (2) judging whether a container in the container cluster is started or not, and executing a corresponding operation according to a judgment result, (3) setting a unified access point when all containers are started, (4) triggering elastic expansion when the indicator of the container in the container cluster reaches the set threshold, and adding or deleting the container, (5) in the elastic expansion process, adjusting the unified access point as a load balance strategy, which means that an access flow is always oriented to a viable container, (6) adding a new container into the range managed by the unified access point if the new container exists after the elastic expansion is completed. According to the method and the system, the number of the container cluster can be dynamically adjusted according to a monitoring data result, thus online application access in not influenced by application traffic, the maximization of resource utilization is realized, and the waste of resources in an idle time is avoided.

Description

technical field [0001] The present invention relates to cloud platform technology based on container technology, in particular to an elastic scaling method and application system based on container cluster. Background technique [0002] At present, the container technology represented by Docker is rapidly becoming popular, and an important product direction of container technology is "container cloud". The market demand for container cloud is also increasing. For an excellent container cloud, at least the following points should be met: [0003] 1. Intelligent scalability of applications; [0004] 2. Seamless application update capability; [0005] 3. Sufficient resource utilization capability. [0006] The solution to be protected by the present invention mainly solves the first point, that is, the intelligent scalability of the application. This application is very common: when the number of visits to the application suddenly increases in a certain period of time, the ...

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Problems solved by technology

[0004] 2. Seamless application update capability;

[0007] In the current market, there are many cloud platforms based on container technology, including kubernetes, mesos, daocloud, etc., but none of these platforms can effectively solve the problem of intelligent scaling of applications. Among them, the open source product kubernetes provided by goolge can only be done manually The elastic expansion and contraction cannot satisfy the online application system very well.

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