Cross-Hypervisor VM Package Conversion for Automated Deployment
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Solution Overview
Problem
Existing deployment of virtual machine images is limited to specific hypervisor environments, requiring manual conversion and resource configuration, leading to increased resource usage and costs due to multiple format requirements.
Innovation Solution
A unified deployment architecture that automatically extracts deployment parameters from OVF configuration files and converts disk images to accommodate various hypervisor formats, enabling automatic deployment across different types of hypervisor environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual conversion and configuration is performed for each hypervisor environment, then deployment compatibility across different environments is achieved, but deployment time and resource usage increase
Solution Approach 1:
The system performs preliminary actions by automatically extracting deployment parameters from OVF configuration files and pre-converting disk images to the required hypervisor formats before deployment. This automation of preliminary conversion and configuration tasks eliminates manual intervention, reducing deployment time while maintaining compatibility across different hypervisor environments.
2Adaptability or versatility
If multiple image formats are maintained for different hypervisor environments, then deployment compatibility is achieved, but storage resources and system complexity increase
Solution Approach 1:
The system creates converted copies of disk images in the required hypervisor formats automatically. Instead of maintaining multiple original image formats, the system generates necessary format copies on-demand during the deployment process, reducing storage resource requirements while ensuring compatibility with different hypervisor environments.
3Productivity
If automated conversion and deployment is implemented, then deployment efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically extracting deployment parameters from OVF configuration files, selecting the appropriate conversion processes based on target hypervisor environments, converting disk images, and initiating deployment tasks without manual intervention. This automation of the entire workflow improves deployment efficiency while the modular design manages system complexity.
Data Source
AI summary
Methods, apparatus, and processor-readable storage media for a unified deployment architecture are provided herein. An example method includes obtaining a first package, associated with one or more software components, and information identifying a target computing environment for deploying the software components on the target computing environment, where the first package is obtained in a first file format. The method includes extracting, from the first package, configuration parameters and image files associated with the software components, and selecting a conversion process, from among a set of conversion processes, based on the target computing environment. The method also includes generating a second package for deploying the software components on the target computing environment, where the generating includes converting the image files into a second file format and generating instructions for deploying the software components on the target computing environment, and automatically initiating one or more deployment tasks based on the second package.