SAIL: A Scalable Architecture for Inference and Learning | Starschema

SAIL: A Scalable Architecture for Inference and Learning

In this document, we introduce an architecture that leverages best practices for the rapid, scalable deployment of data science, machine learning and AI applications that have recently emerged in three fields belonging to DevOps:

• test and behaviour driven development (TDD and BDD, respectively);
• continuous integration and continuous deployment (CI/CD); and
• infrastructure and process orchestration (Kubernetes and Docker).

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