This article presents the design and implementation of a DevOps automation tool within a VMware vSphere environment, focusing on the crucial role of the data model. In response to the increasing complexity and dynamic nature of modern IT environments, this tool aims to streamline application deployment and management by integrating vSphere with DevOps practices. The design emphasizes collaboration between development and operations teams, automating the software lifecycle through a platform that integrates the vSphere API with version control systems (GitHub, GitLab). The article details the architecture of the proposed data model, which is fundamental to the tool’s scalability, flexibility, and performance. Key data structures are described, including Projects, Applications, Virtual Machines, Networks, Reports/Issues, Inventories, Strategy Sets, Templates, and Users, illustrating how they support efficient infrastructure management and automated tasks. The research contributes to the advancement of DevOps in virtualized environments, enabling faster application deployment and improved infrastructure management.

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DevOps Automation for vSphere: A Data Model Perspective

  • Robert Waszkowski,
  • Ksawery Wróbel

摘要

This article presents the design and implementation of a DevOps automation tool within a VMware vSphere environment, focusing on the crucial role of the data model. In response to the increasing complexity and dynamic nature of modern IT environments, this tool aims to streamline application deployment and management by integrating vSphere with DevOps practices. The design emphasizes collaboration between development and operations teams, automating the software lifecycle through a platform that integrates the vSphere API with version control systems (GitHub, GitLab). The article details the architecture of the proposed data model, which is fundamental to the tool’s scalability, flexibility, and performance. Key data structures are described, including Projects, Applications, Virtual Machines, Networks, Reports/Issues, Inventories, Strategy Sets, Templates, and Users, illustrating how they support efficient infrastructure management and automated tasks. The research contributes to the advancement of DevOps in virtualized environments, enabling faster application deployment and improved infrastructure management.