Explore the key challenges and trends in productizing machine learning systems in this comprehensive talk from EuroPython 2019. Delve into crucial concepts such as reproducibility, explainability, and orchestration in machine learning operations. Gain insights into open-source tools and frameworks available for addressing these issues, as identified in the Awesome Machine Learning Operations list. Learn about model versioning, data lineage, and practical requirements for ensuring reproducibility. Understand the importance of explainability in machine learning, including high-profile incidents involving unintended biases in tech companies. Discover fundamental challenges in large-scale model serving and explore key tools for tackling orchestration issues. This informative presentation provides a thorough overview of the state of Machine Learning Operations as of 2019, offering valuable knowledge for data scientists and machine learning practitioners.