For teams within the AWS ecosystem, Amazon SageMaker is a comprehensive, fully managed service. It is designed to handle the "Level 2" MLOps maturity—where models are updated rapidly and redeployed across thousands of servers.
Each step in a Kubeflow pipeline is containerized, making workflows isolated and highly reproducible.
4. Weights & Biases (W&B): The Developer’s System of Record
It provides a managed environment for MLflow and integrates features like Unity Catalog for unified data governance.
Weights & Biases has become a preferred platform for cutting-edge research teams, including those at OpenAI and Cohere.