Collaboration and Workflow
Fostering teamwork and reproducibility in MLOps.
Chapter 29: Version Control for ML GitOps for ML DVC integration Branching strategies for experiments Chapter 30: Reproducible Workflows Environment management: Conda, Poetry Reproducible builds with Nix Chapter 31: Team Collaboration Tools Project management: Jira, Trello Documentation: Confluence, Notion Chapter 32: MLOps Maturity Models Levels: Manual, automated, integrated Frameworks: Google MLOps maturity, Microsoft MLOps Chapter 33: Feature Reuse Across Models and Teams (New) Collaborative feature engineering Feature sharing pipelines [Tools: Feast, Hopsworks; Governance for shared features]