Resource adjustment method and device, equipment and storage medium

Abstract

Embodiments of the invention provide a resource adjustment method, device, electronic equipment and a computer storage medium. The method comprises the steps of monitoring first resource use data of a plurality of containers currently running in a system; classifying the plurality of containers according to the first resource use data to obtain a first classification result; and determining a resource adjustment strategy of at least one type of containers according to the first classification result, and performing preset resource adjustment on the at least one type of containers in the plurality of containers according to the resource adjustment strategy. According to the resource adjustment method, the containers are classified according to the resource use data of the containers, the resource adjustment strategy of the containers is determined according to the classification result, and the determined resource adjustment strategy is related to the current resource use condition of the containers, so that the container resource use is more reasonable, and the risk of service unavailability caused by exhaustion of host and cluster resources can be reduced.

Description

technical field [0001] The present invention relates to operating system and container technology, in particular to a resource adjustment method, device, electronic equipment and computer storage medium. Background technique [0002] In related technologies, Docker implements fine-grained control over resources such as the central processing unit (cpu) and memory of the container through cgroups, but the limit value of the resources needs to be manually configured by the user. The actual usage of the resources required by the business is not very clear. Without experience, it is often impossible to start at all. Even experienced users usually only set different maximum resource limits for different containers based on existing business experience, that is, the current general The maximum resource limit value set by manually configuring cgroups is a static value. In fact, the resource usage requirements of the business change in real time, which will lead to unreasonable use ...

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention expects to provide a resource adjustment technical solution to solve the problem of unreasonable use of container resources in the prior art, which may even lead to the exhaustion of host and cluster resources, and eventually lead to unavailable services

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