aws-samples / aws-samples/amazon-sagemaker-drift-detection

enh: Add Batch Pipeline

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#18 0 comments 0 reactions 0 assignees View on GitHub
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

Open the contributing 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

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