Using Workspace Connections for Docker Authentication in Serverless Builds
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- azure, docker, python
- Domain
- authentication, cloud, devops, security
Research direction
The issue names no repository file, test, or entry point. Start by reviewing the Azure ML serverless build and Docker authentication guidance for private Azure DevOps Artifacts feeds; done means documenting a supported credential-passing approach that avoids hardcoding a PAT and works on serverless compute.
Written by the indexing model from the issue text.
Description
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
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 2.6k
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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