{"product_id":"operational-ai-with-docker-ajeet-singh-raina-9781807301095","title":"Operational AI with Docker: Deploy, scale, and operate agentic AI services with Docker and Kubernetes","description":"\u003cp\u003e\u003cstrong\u003eRun production-grade GenAI workloads by containerizing, serving, and scaling LLMs, agents, and multi-model pipelines with Docker, MCP, and Kubernetes for cloud platforms\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Deploy and operate local and edge-friendly LLM inference using Docker Model Runner and an OpenAI-compatible API\u003c\/p\u003e\u003cp\u003e- Orchestrate multi-model and multi-agent workloads with Docker Compose and Kubernetes patterns used by platform teams\u003c\/p\u003e\u003cp\u003e- Purchase of the print or Kindle book includes a free PDF eBook\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eModern AI systems don't fail at modeling; they fail in production. Moving from experiments to reliable, scalable systems requires more than notebooks and scripts. It requires infrastructure.\u003c\/p\u003e\u003cp\u003eOperational AI with Docker shows you how to build, deploy, and operate AI systems that work beyond a single machine. You'll learn how to use Docker as a consistent runtime for machine learning workflows, package models as reproducible artifacts, and run them reliably across environments.\u003c\/p\u003e\u003cp\u003eStarting with containerized machine learning, you'll progress to model serving, AI deployment, and scalable infrastructure using Kubernetes. You'll implement production-ready patterns for resource management, autoscaling, observability, and performance tuning, ensuring your AI workloads remain stable under real-world conditions.\u003c\/p\u003e\u003cp\u003eThe book goes beyond traditional MLOps by introducing agentic AI systems, including autonomous agents, multi-agent architectures, and secure execution environments. You'll also explore modern integration patterns using the Model Context Protocol (MCP), enabling AI systems to interact safely with tools, APIs, and data sources.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to design and operate production AI systems that are reproducible, scalable, and ready for real-world deployment using Docker and Kubernetes.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Containerize GenAI services using Docker images, registries, and Compose-based deployment stacks\u003c\/p\u003e\u003cp\u003e- Package and distribute models as OCI artifacts for repeatable builds and controlled promotions across environments\u003c\/p\u003e\u003cp\u003e- Choose GGUF quantization levels to balance cost, latency, and accuracy for cloud and hybrid runtimes\u003c\/p\u003e\u003cp\u003e- Serve LLMs via Docker Model Runner with an OpenAI-compatible API suitable for internal platforms\u003c\/p\u003e\u003cp\u003e- Integrate tools and data securely using MCP and Docker MCP Gateway with least-privilege access patterns\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eCloud engineers, DevOps engineers, SREs, and platform engineers who need to deploy, operate, and scale GenAI workloads using Docker and Kubernetes on cloud, hybrid, or edge environments. You should be comfortable with the command line and basic service operations; prior Docker or Kubernetes exposure is helpful but not required.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Docker Desktop - The Runtime Foundation for AI\/ML Workflows\u003c\/p\u003e\u003cp\u003e- Understanding AI Models in Docker\u003c\/p\u003e\u003cp\u003e- Model Service with Docker Model Runner\u003c\/p\u003e\u003cp\u003e- Docker Offload for AI and ML Workflows\u003c\/p\u003e\u003cp\u003e- Running ML Container Models on Kubernetes\u003c\/p\u003e\u003cp\u003e- Protocol-Based AI Integration with MCP\u003c\/p\u003e\u003cp\u003e- Building Autonomous AI Agents\u003c\/p\u003e\u003cp\u003e- Multi-Model and Multi-Agent Architectures\u003c\/p\u003e\u003cp\u003e- Advanced Agent Orchestration\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Ajeet Singh Raina,Harsh Manvar\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 1807301095\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9781807301095\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Packt Publishing\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/29\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 390\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.47lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 0.80d","brand":"Ajeet Singh Raina","offers":[{"title":"Paperback","offer_id":48623692808447,"sku":"9781807301095","price":44.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/operational-ai-with-docker-ajeet-singh-raina-9781807301095","provider":"WR Book House","version":"1.0","type":"link"}