CLOUD

AI 工具辅助部署与运行AI-Tool-Assisted Deployment and Operations

学会让 AI 工具协助配置环境变量、部署静态站/API、检查日志、解释报错、准备回滚和上线说明。Learn to use AI tools to configure env vars, deploy static sites/APIs, inspect logs, explain errors, prepare rollback, and write launch notes.

所属层级Layer

Enterprise LayerEnterprise Layer

中文版作业不做云厂商底层专精。我们用阿里云、本地服务、Vercel、内网 API 等常见场景，让学员学会把报错、日志、环境变量和回滚步骤交给 AI 工具协助处理。Assignments do not dive into cloud-provider internals. We use common scenarios such as Alibaba Cloud, local services, Vercel, and private APIs so learners can ask AI tools to handle errors, logs, env vars, and rollback steps.

学习产出Learning Outcomes

理解部署是可访问、可复现、可回滚，而不是发截图Understand deployment as accessible, reproducible, and rollbackable, not screenshots

会让 AI 工具检查环境变量、构建日志和接口错误Ask AI tools to inspect env vars, build logs, and API errors

能画出最小可行架构 MVA，但不做云厂商底层专精Draw an MVA without deep cloud-provider internals

能写出上线说明、故障处理和回滚步骤Write launch notes, incident steps, and rollback instructions

扩展学习资源Resources

Antigravity 用 Agent IDE 理解任务拆解、代码修改、浏览器验证和部署检查。 Use an agentic IDE for task breakdown, code edits, browser checks, and deployment review. Vercel Docs 静态站/API 部署的实操参考。 Practical reference for static site and API deployment. Alibaba Cloud Architecture Center 只学习部署拓扑、权限、日志、网络边界等概念，不做云架构专精。 Study deployment topology, access, logs, and network boundaries without deep cloud specialization.

检查清单Checklist

基础设施Infrastructure

先让 AI 工具基于样本文件做数据审计，还是已经有安全的企业数据接口？Should AI tools audit sample files first, or is there already a safe enterprise data interface?
最小可行架构是静态站 + API，还是阿里云/本地服务 + 数据库？Is the MVA static site + API, or cloud/local service + database?
能否让 Codex、Claude Code、Antigravity 或 Cursor 帮你检查构建、环境变量、日志和回滚步骤？Can Codex, Claude Code, Antigravity, or Cursor help inspect builds, env vars, logs, and rollback steps?