Configuration-driven lightweight hybrid infrastructure platform and data processing method

Abstract

The invention discloses a configuration-driven lightweight hybrid infrastructure platform and a data processing method, and the platform is characterized in that the platform comprises a client serverwhich is used for receiving a resource instance request and transmitting the resource instance request to an API server; an analyzer, deployed on the host machine and used for analyzing the API of the cloud supplier and forming a YAML configuration file of the API according to the resource management capability of the API; generating a resource configuration file and a function configuration fileof each virtual resource according to the API supported by the virtual resource; a converter, used for converting each virtual resource in the input resource configuration file into a CRD object compatible with Kubernetes; and a controller, deployed on the API server, and used for analyzing the resource instance request received by the API server, obtaining the request type and the resource instance of the resource instance request, and determining to send the resource instance request to the scheduler or the actuator for processing according to the request type.

Description

technical field [0001] The invention relates to a configuration-driven lightweight hybrid infrastructure platform and a data processing method, belonging to the technical field of cloud services and computing. Background technique [0002] With the rapid development of information technology, the Internet computing model of cloud computing has been successfully applied to various industries such as business, government affairs, and medical care. According to the Gartner report, the sales share of cloud computing IT infrastructure has surpassed that of traditional IT products, accounting for 58.4%. The infrastructure of cloud computing can adopt different computing models, and typical models include virtual machines and containers. In recent years, with the rapid development of mobile device software and hardware, the edge computing scenario where virtual machines and containers converge has become an inevitable trend of industry development. However, due to the different te...

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Problems solved by technology

However, this approach will lead to the following problems: (1) The Pod model can only represent the deployment model of the container, but cannot describe the virtual machine model

Therefore, in the official kubevirt solution at this stage, only virtual machines can be created from the host machine, and manual login is required to start the virtual machine from the host machine, which has poor usability

(2) Manage virtual machines but still need to deploy Docker containers

This is because according to the Kubevirt solution, Pod still needs a guardian container for virtual machine management, which is not easy to use

(3) Kubernetes cannot obtain the real-time resource consumption of virtual machines, because the collection of container information is different from that of VM information, so other monitoring solutions need to be integrated, which is poor in versatility

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