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苏奕豪. 基于国产云基座的私有化容器云平台构建研究[J]. 铁路计算机应用, 2023, 32(9): 43-47. DOI: 10.3969/j.issn.1005-8451.2023.09.08
引用本文: 苏奕豪. 基于国产云基座的私有化容器云平台构建研究[J]. 铁路计算机应用, 2023, 32(9): 43-47. DOI: 10.3969/j.issn.1005-8451.2023.09.08
SU Yihao. Building of privatized container cloud platform based on domestic cloud base[J]. Railway Computer Application, 2023, 32(9): 43-47. DOI: 10.3969/j.issn.1005-8451.2023.09.08
Citation: SU Yihao. Building of privatized container cloud platform based on domestic cloud base[J]. Railway Computer Application, 2023, 32(9): 43-47. DOI: 10.3969/j.issn.1005-8451.2023.09.08

基于国产云基座的私有化容器云平台构建研究

Building of privatized container cloud platform based on domestic cloud base

  • 摘要: 为解决基础设施即服务(IaaS,Infrastructure as a Service)模式下资源利用率不足、高可用架构设计复杂、计算能力横向扩容难度大等问题,以国产Linux操作系统为云基座,构建具备多租户、高可用、可伸缩特性的私有化容器云平台。该平台在大幅度提升业务可用性和资源利用率的同时,通过私有化部署,最大程度保障企业网络安全和数据隐私。应用Kubernetes容器编排工具,实现了信息系统及应用的轻量级容器化部署和管理,为企业级数据中心的构建提供了技术实践路径,同时,为企业存量信息系统及应用迁移上云提供了资源消耗最小化的解决方案。

     

    Abstract: In order to solve the problems of insufficient resource utilization, complex design of high availability architecture, and difficulty in horizontally expanding computing capacity in the Infrastructure as a Service (IaaS) mode, this paper used a domestic Linux operating system as the cloud foundation to build a privatized container cloud platform with multi tenant, high availability, and scalability characteristics. The platform greatly improved business availability and resource utilization, while also improved business availability and resource utilization by deploying through privatization, could achieve the maximum protection of enterprise network security and data privacy. The paper used the Kubernetes container orchestration tool to implement lightweight container deployment and management of information systems and applications, provided a technical practice path for the building of enterprise level data centers. At the same time, it provided a solution for minimizing resource consumption for enterprise stock information systems and application migration to the cloud.

     

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