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Treffer: 基于树莓派4B 的云原生Kubernetes 计算集群实验设计.

Title:
基于树莓派4B 的云原生Kubernetes 计算集群实验设计. (Chinese)
Alternate Title:
Experimental design of cloud native Kubernetes computing cluster based on Raspberry Pi 4B. (English)
Source:
Experimental Technology & Management; Nov2023, Vol. 40 Issue 11, p64-70, 7p
Database:
Complementary Index

Weitere Informationen

Based on three Raspberry Pi 4B single board computers, a Kubernetes computing cluster consisting of one Master node and two Node nodes was built, achieving convenient deployment, automatic orchestration, and reliable operation of cloud native applications. Firstly, this experiment constructs microservice components, then implements component program containerization based on Docker. Finally, the experiment deploys the microservice system in the Kubernetes cluster to achieve service governance features such as automatic scaling, load balancing, resource scheduling and observability. The experiment covers the entire process of cloud native program development, containerization, deployment, and service provision, and uses low-cost Raspberry Pi 4B bare metal machines as the hardware infrastructure of the cluster to achieve the construction of a complete local physical cluster. Through the learning and practice of this experiment, students can better grasp the design ideas and practical experience of cloud computing clusters, and have a more comprehensive understanding of the concepts, principles, and construction methods of cloud native services. [ABSTRACT FROM AUTHOR]

基于三台树莓派4B 单板计算机, 搭建了包含一个Master 节点和两个Node 节点的Kubernetes 计算集群, 实现了云原生应用的便捷部署、自动编排和可靠运行。首先构建微服务组件, 然后基于Docker 实现组件程序容器 化, 最后将微服务系统部署于Kubernetes 集群, 实现了自动伸缩、负载均衡、资源调度和可观察性等服务治理特 性。该实验涵盖了云原生程序从开发到容器化、再到集群部署并提供服务的全过程, 并且以低成本的树莓派4B 裸金属机器为集群硬件设施, 实现了完整本地物理集群的构建。学生通过该实验的学习实践, 能够更好地掌握云 计算集群的设计思想和实践经验, 更全面地理解云原生服务的概念、原理和构建方法. [ABSTRACT FROM AUTHOR]

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