Azure / Azure/MachineLearningNotebooks
Using Workspace Connections for Docker Authentication in Serverless Builds
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- Jupyter Notebook
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描述
## Title
How to properly pass workspace connection credentials to Docker builds on AML serverless compute
## Description
### Problem Statement
I'm trying to set up a Docker build on Azure ML serverless compute that needs to authenticate to a private PyPI feed during the image build phase. The image needs to install Python packages from a private Azure DevOps Artifacts feed.
### What I'm Trying to Achieve
- Create a Docker image that installs packages from a private PyPI mirror
- Use Azure DevOps Personal Access Token (PAT) for authentication (I am happy to use a different way if it is more sustainable and better)
- Run this on AML serverless compute (not a dedicated compute cluster)
- Securely pass credentials without hardcoding them
贡献指南
这个仓库没有索引到贡献指南
调研方向
该 issue 未指出任何仓库文件、测试或入口点。首先查看 Azure ML 关于面向私有 Azure DevOps Artifacts feed 的 serverless build 和 Docker 身份验证指南;完成的标准是记录一种受支持的凭据传递方法,避免硬编码 PAT,并且能够在 serverless compute 上运行。
由索引模型根据 Issue 内容生成。
评估
- 技术栈
- azure, docker, python
- 领域
- authentication, cloud, devops, security
- Issue 类型
- 文档
- 难度
- 5/5
- 预计耗时
- 一周以上
- 活跃度
- 停滞
- 描述清晰度
- 需要澄清
- 新手友好度
- 25/100