Kubernetes ML Pipeline: CI Model Training with Jenkins, MLflow, DVC

This article details the second part of a series on building machine learning pipelines using Kubernetes. It focuses on implementing Continuous Integration (CI) for model training, leveraging tools like Jenkins, MLflow, and DVC. The previous installment established a DVC-based foundation for the pipeline. AI

IMPACT Details practical implementation of MLOps pipelines for model training, enhancing workflow automation and reproducibility.

RANK_REASON The article describes the implementation of an MLOps pipeline using existing tools, rather than a new release or significant industry event.

Read on Medium — MLOps tag →

• Jenkins
• Kubernetes
• MLflow

• infra
• product

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