Generative AI with Kubernetes: Implementing secure and observable AI infrastructure to deliver reliable AI applications (English Edition)

by Jonathan Baier

Overview

The book covers essential technical implementations from ML fundamentals through advanced deployment strategies, focusing on practical patterns. Core topics include Kubernetes-native GPU scheduling and resource management, MLOps pipeline architectures using Kubeflow/MLflow, and advanced model serving patterns. It details data management architectures, vector databases, and RAG systems, alongside monitoring solutions with Prometheus/Grafana. Finally, we will look at some advanced concerns for production in the realm of security and data reliability.

Product Details

ISBN-13:	9789365898323
Publisher:	Bpb Publications
Publication date:	02/28/2025
Pages:	284
Product dimensions:	7.50(w) x 9.25(h) x 0.60(d)

About the Author

Jonathan Baier is an emerging technology leader living in Northern Virginia and Yokohama, Japan. He has worked in technology for more than 20 years, always using his curiosity to dive into new trends and technologies as they emerge.