aws-samples/regulated-mlops-using-amazon-sagemaker

This project is a classic 'cloud provider sample.' With only 8 stars and a 4-year-old codebase (1519 days), it serves as a static blueprint rather than a living software project. Its defensibility is near zero because it is a configuration wrapper around proprietary AWS services. From a competitive standpoint, it is already largely obsolete; AWS has released several iterations of SageMaker Projects and Canvas that automate many of these 'regulated' patterns out of the box. Frontier labs and major cloud providers (Google Vertex AI, Azure ML) have already integrated these capabilities as native platform features. The 'regulated' aspect refers to standard enterprise cloud practices (IAM, encryption, VPC) which are now table stakes in any MLOps platform. An investor or analyst should view this as a historical reference implementation rather than a viable standalone tool or competitive moat.