Continuous integration and deployment (CI/CD) in machine learning presents unique challenges compared to traditional web app development, particularly with triggers like model and data drift. Argo serves as a Kubernetes-native CI/CD engine, playing a crucial role in managing workflows in machine learning. As the landscape stabilizes, the evolution of best practices and frameworks continues to shape the future of ML tooling.
