Designing End-to-End ML CI/CD Pipeline Architecture
End-to-End ML Pipeline Architecture
A robust ML CI/CD pipeline connects code, data, model training, testing, packaging, and deployment into one automated workflow.
Core Components
- Source control repository
- Automated build server
- Model registry
- Artifact storage
- Deployment automation
Designing a clear architecture reduces manual intervention and deployment risks.
