concept#Machine Learning#Platform#DevOps#Observability

Model Deployment

Concept and practice for reliably delivering, operating and versioning trained machine learning models in production environments.

Model deployment describes the process of moving trained ML models into production environments, serving predictions and operating them reliably.

Maturity

Established

Cognitive loadHigh

360° overview

Six perspectives place the building block in context. The numbers show where each perspective continues in the reading path.

The building block at a glance

Model Deployment

360°

2

2

Integrations

CI/CD systems (e.g. Jenkins, GitHub Actions)

+2

1

Reproducibility through versioning of model and data.

Value stream stage: Run

4

3

4