Container resource configuration method and device, equipment and storage medium

Abstract

The embodiment of the invention discloses a container resource allocation method and device, equipment and a storage medium. The method comprises the steps of obtaining a resource allocation maximum value of a target container, and determining a target private resource and a target standby resource of the target container according to the resource allocation maximum value and a target percentage;determining a shared standby resource corresponding to the target container according to the target standby resource and other standby resources of at least one other container except the target container in a physical machine corresponding to the target container; and configuring resources of the target container according to the target private resources and the shared standby resources. According to the technical scheme, container resources are configured more reasonably, and resources are saved while performance guarantee is provided to a greater extent.

Description

technical field [0001] Embodiments of the present invention relate to computer technology, and in particular to a container resource configuration method, device, device and storage medium. Background technique [0002] Data centers for platforms such as Internet services, e-commerce services, public clouds, private clouds, and the Internet of Things usually run on servers or server clusters (called physical machines). Currently, the standard architecture of physical machines mostly uses container and microservice technologies. To achieve server resource sharing. On a container platform, a physical machine can run multiple isolated and independent containers; a business or application is divided into multiple logically independent microservices, and microservice instances run in containers. [0003] In order to meet service performance and optimize resource utilization, it is necessary to allocate resources of appropriate size to the container, such as central processing un...

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Problems solved by technology

[0005] In the process of implementing the present invention, the inventors have found that there are at least the following problems in the prior art: First, although the container resource configuration based on the maximum value can guarantee performance, it is not suitable for containers and services with very dynamic loads and requirements, such as Internet services and Online services often do not require maximum resources, so a lot of resources will be wasted and server costs will be increased

Second, although percentile-based container resource configuration can save resources to a certain extent, it cannot guarantee to meet all load and resource requirements of requests, which will lead to certain performance conflicts. For important online services, such as e-commerce business, even a 1% performance problem can cost a lot

Third, due to immature technology, dynamic container resource allocation has stability and accuracy problems, so it cannot be applied on a large scale at present.

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