Cloud-Native AI Infrastructure: Kubernetes Orchestration for Distributed Deep Learning and Node.js Backends (The Cloud-Native AI Orchestration Series) - Softcover

Book 3 of 4: The Cloud-Native AI Orchestration Series

Stormveld, Erik

9798172036668: Cloud-Native AI Infrastructure: Kubernetes Orchestration for Distributed Deep Learning and Node.js Backends (The Cloud-Native AI Orchestration Series)

Softcover

ISBN 13: 9798172036668

Publisher: Independently published, 2026

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AI workloads are no longer confined to a single server or development environment.

Building them for production means coordinating containers, GPUs, data pipelines, APIs, and distributed services without sacrificing reliability.
Cloud-Native AI Infrastructure: Kubernetes Orchestration for Distributed Deep Learning and Node.js Backends explores how to design and operate cloud-native infrastructure for modern AI applications using Kubernetes, Node.js, microservices, and distributed deep learning architectures.
Rather than treating the AI model as an isolated component, this book examines the complete infrastructure surrounding it—from API gateways and asynchronous workflows to model-serving services, event-driven pipelines, security, observability, and scaling.
Inside, you'll explore:

Designing resilient Node.js AI backends and microservices
Deploying deep learning models as Kubernetes services
Connecting Node.js applications with Python-based inference workloads through gRPC
Building event-driven AI workflows with Kafka, RabbitMQ, and NATS
Managing distributed preprocessing, caching, and high-volume data flows
Supporting multi-model deployments, A/B testing, and shadow inference
Extending Kubernetes to edge environments with K3s
Securing AI workloads with zero-trust architecture, mTLS, and network policies
Tracing requests from Node.js gateways through GPU inference
Monitoring and scaling distributed AI infrastructure

For software engineers, AI engineers, platform engineers, and architects working with Kubernetes, Node.js, machine learning, and cloud-native AI, this book provides an architectural perspective on connecting these technologies into a cohesive production environment.
Build AI infrastructure that can scale beyond the prototype.

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