{"product_id":"9781807301095","title":"Operational AI with Docker : Deploy, scale, and operate agentic AI services with Docker and Kubernetes","description":"\u003cp\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\/p\u003e\n\n\u003cp\u003eKey Features\u003c\/p\u003e\n\n\u003cp\u003eDeploy and operate local and edge-friendly LLM inference using Docker Model Runner and an OpenAI-compatible API\n\u003cbr\u003eOrchestrate multi-model and multi-agent workloads with Docker Compose and Kubernetes patterns used by platform teams\n\u003cbr\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/p\u003e\n\n\u003cp\u003eBook DescriptionThe book blends hands-on Docker and Kubernetes fundamentals with practical AI\/ML deployment workflows, showing not just how containers work but why they are essential for modern machine learning pipelines. Its unique selling point (USP) is that it focuses on Docker as the central model runner demonstrating end-to-end examples from building and containerizing models to orchestrating large-scale inference and training workloads, all with real, reproducible demos.\n\u003cbr\u003eWhat you will learn\u003c\/p\u003e\n\n\u003cp\u003eContainerize GenAI services using Docker images, registries, and Compose-based deployment stacks\n\u003cbr\u003ePackage and distribute models as OCI artifacts for repeatable builds and controlled promotions across environments\n\u003cbr\u003eChoose GGUF quantization levels to balance cost, latency, and accuracy for cloud and hybrid runtimes\n\u003cbr\u003eServe LLMs via Docker Model Runner with an OpenAI-compatible API suitable for internal platforms\n\u003cbr\u003eIntegrate tools and data securely using MCP and Docker MCP Gateway with least-privilege access patterns\u003c\/p\u003e\n\n\u003cp\u003eWho this book is forCloud 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","brand":"Packt Publishing Limited","offers":[{"title":"Default Title","offer_id":48871814299883,"sku":"00000_00000_00000_00000","price":82.38,"currency_code":"SGD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0758\/4484\/5803\/files\/9781807301095-1.jpg?v=1786345792","url":"https:\/\/kinokuniya.com.sg\/products\/9781807301095","provider":"Books Kinokuniya Singapore","version":"1.0","type":"link"}