Hi community, excited to share that my new book Distributed Machine Learning Patterns from Manning Publications is now officially published! Printed books are now also available on Manning website! Hopefully people in this workspace will find the book useful when building ML platforms! Link to book: https://bit.ly/2RKv8Zo You’ll explore key concepts and patterns behind successful distributed machine learning systems, and learn technologies like Kubernetes, TensorFlow, Kubeflow, and Argo Workflows directly from a key open source maintainer and contributor. The book is filled with practical patterns for running machine learning systems on distributed Kubernetes clusters in the cloud. Each pattern is designed to help solve common challenges faced when building distributed machine learning systems, including supporting distributed model training, handling unexpected failures and dynamic model serving traffic. Real-world scenarios provide clear examples of how to apply each pattern, alongside the potential trade offs for each approach. You’ll put them all into practice and finish up by building a comprehensive distributed machine learning system.