Seldon

Seldon is an open-source platform designed for the deployment, monitoring, and management of machine learning models in production environments. It utilizes Kubernetes to ensure scalability and reliability, making it suitable for handling large datasets and complex workflows. Seldon supports a variety of machine learning frameworks, including TensorFlow, PyTorch, and scikit-learn, allowing for flexible model deployment as production-ready services. The platform includes robust monitoring and logging capabilities to track model performance, identify issues such as model drift or data quality problems, and ensure compliance and governance. Additionally, Seldon facilitates A/B testing, enabling users to compare different model versions to optimize performance. While it offers comprehensive support for the entire machine learning lifecycle, users may encounter a learning curve due to the complexities of Kubernetes and the management of intricate pipelines. Overall, Seldon provides a versatile and powerful solution for MLOps, integrating seamlessly with cloud-native tools while being backed by an active community.