Release v0.1.2 (What’s new?).

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Welcome to packer_ami_workflow Documentation

我在生产实践中使用 packer 来构建 Amazon Machine Image 总结了一套最佳实践, 用于维护 AMI 数量非常多, Provision 逻辑非常复杂的项目. 其核心思想是将一个复杂的 provision 过程分拆成多个 step, 然后这些 step 按照顺序组合成一个 workflow, 运维人员可以每隔一段时间就重新运行一次这个 workflow 以更新镜像.

为了方便开发人员能快速上手这套最佳实践, 我设计了一套目录结构以及框架, 使得即时没有经验的开发者都可以用类似填表那样的傻瓜式操作管理复杂项目.

Install

packer_ami_workflow is released on PyPI, so all you need is to:

$ pip install packer-ami-workflow

To upgrade to latest version:

$ pip install --upgrade packer-ami-workflow

Table of Content

• Workflow and Step Strategy
• Install Packer
• AMI Build Guide

About the Author

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Sanhe Hu is a seasoned software engineer with a deep passion for Python development since 2010. As an author and maintainer of 20+ open-source projects, I bring a wealth of experience to the table. As a Senior Solution Architect and Subject Matter Expert in Amazon Web Services, Cloud Engineering, DevOps, Big Data, and Machine Learning, I thrive on helping clients with platform design, enterprise architecture, and strategic roadmaps.

Talk is cheap, show me the code:

• My Github: https://github.com/MacHu-GWU

API Document

• by Name

• by Structure