Kubeflow Pipelines Documentation, The Kubeflow Authors, 2024 - Provides comprehensive guidance on Kubeflow Pipelines, including concepts, component development, and pipeline definition using the Python SDK.
MLOps Engineering at Scale, Olivier Grisel, Lj Miranda, and Boris Dayma, 2022 (O'Reilly Media) - Offers practical guidance on implementing MLOps principles, including CI/CD for ML, experiment tracking, and pipeline orchestration using tools like Kubeflow.
MLOps: Continuous delivery and automation pipelines in machine learning, Martin Görner, Dale Markowitz, Noah Fiedel, and Carole-Ann Matignon, 2020 (Google Cloud) - Discusses the principles of MLOps and continuous delivery for machine learning, providing a conceptual framework that Kubeflow pipelines help implement.