aws-samples / aws-samples/amazon-sagemaker-drift-detection
enh: Add Batch Pipeline
- Dominant language
- Python
- Stars
- 66
- Forks
- 33
- PR merge metrics
- No merged PRs in 30d
Description
Add support for batch pipeline that creates a SageMaker Pipeline that contains 3 steps
1. Source - pulls source code.
2. Build - get's the latest approved model, and outputs CFN template for SM pipelines using `staging.json` and `prod.json` config files.
2. BatchStaging - creates a SageMaker pipeline for Staging.
3. BatchProd - creates a SageMaker pipeline for Production.
Contributor guide
Research direction
No files or tests are named. Start by inspecting the repository's existing SageMaker pipeline entry points and how staging.json and prod.json are consumed; then map the requested Source, Build, BatchStaging, and BatchProd stages. Done means the batch pipeline creates the stated staging and production pipelines and produces the required CloudFormation template.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python
- Domain
- cloud, devops, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100