Deploying Agentic AI with Docker: A hands-on guide to building and scaling AI services with Docker and Kubernetes

Author:   Erynd Blackthorn
Publisher:   Independently Published
ISBN:  

9798197107404


Pages:   406
Publication Date:   15 May 2026
Format:   Paperback
Availability:   Available To Order   Availability explained
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Deploying Agentic AI with Docker: A hands-on guide to building and scaling AI services with Docker and Kubernetes


Overview

Most AI books teach concepts. Very few teach you how to actually build production AI systems from the ground up. You can connect a model to an application. You can even make an AI demo work locally. But building a real AI service is different. Real systems crash. Containers fail. Agents loop endlessly. Memory grows uncontrollably. Infrastructure becomes unstable under load. Suddenly, the challenge is no longer the model itself, it is the architecture surrounding it. This book was written for that reality. Deploying Agentic AI with Docker is a deeply practical, project-focused guide to building and scaling modern AI systems using Docker and Kubernetes. Instead of isolated snippets and disconnected examples, you will work through complete real-world projects designed to reflect how intelligent services are actually engineered and deployed in production environments. Throughout this book, you will build: Stateful AI agents Containerized inference services Multi-service AI architectures Persistent memory systems Tool-using autonomous workflows Scalable API layers Distributed orchestration pipelines Production-ready AI deployments with Docker and Kubernetes Each project is designed to teach not only how something works, but why modern AI systems are structured the way they are. Along the way, you will uncover: Why most AI deployments become unstable at scale How Docker transforms AI deployment workflows How Kubernetes manages orchestration and resilience How autonomous agents handle memory, tools, and execution loops How production AI systems deal with failures, queues, scaling, and observability How real engineering decisions impact long-term system reliability This is not a book built around theory-heavy explanations or toy chatbot tutorials. It is a hands-on engineering guide for developers who want to move beyond experiments and start building AI infrastructure that can survive real-world pressure. If you are ready to stop building temporary demos and start engineering AI systems that are scalable, resilient, and production-ready, this book will show you how.

Full Product Details

Author:   Erynd Blackthorn
Publisher:   Independently Published
Imprint:   Independently Published
Dimensions:   Width: 17.80cm , Height: 2.10cm , Length: 25.40cm
Weight:   0.699kg
ISBN:  

9798197107404


Pages:   406
Publication Date:   15 May 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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