9798278836995 - production containerization for ai agents: design, deploy, and operate agent systems that actually scale de howe, landen (4 resultados)
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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Paperback. Condición: new. Paperback. Production Containerization for AI Agents: Design, Deploy, and Operate Agent Systems That Actually ScaleYour AI agent works perfectly in development. Then production hits-and everything breaks. Containers crash mid-task. GPUs sit idle while latency spikes. Costs rise without warning. Upgrade…s interrupt live workflows. Observability tells you nothing when you need answers most.This is the reality most teams face when AI agents leave the prototype phase.Production Containerization for AI Agents confronts that reality head-on. This book is a practical, engineering-focused guide to building AI agent systems that survive real traffic, real failures, and real operational pressure. It treats AI agents not as demos, but as long-running production services that must be deployed, scaled, secured, and operated with discipline.The core solution is clear: apply proven containerization and orchestration practices-Docker, Kubernetes, GPU scheduling, health checks, observability, and failure recovery-specifically adapted for agent workloads. This book shows how experienced teams structure agent runtimes, separate orchestration from inference, manage state safely, control costs, and recover quickly when things go wrong.You will learn how to: Design AI agents as production-grade containerized servicesBuild Docker images that are secure, repeatable, and fast to startDeploy agent systems on Kubernetes without breaking active workflowsScale agents and inference independently under loadOperate GPU-backed agents reliably and cost-effectivelyDetect failures early and recover without losing in-flight workUpgrade agent systems safely while traffic is liveDecide when your system is truly ready to scale furtherEvery chapter is grounded in real-world operational patterns used by teams running AI agents in production today. There is no theory for theory's sake-only techniques that hold up under pressure.If you are an AI engineer, platform engineer, or DevOps professional responsible for shipping and operating agent systems, this book gives you the playbook you wish you had before your first production incident.Stop guessing. Start operating with confidence.Get your copy now and build AI agent systems that actually scale. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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Paperback. Condición: new. Paperback. Production Containerization for AI Agents: Design, Deploy, and Operate Agent Systems That Actually ScaleYour AI agent works perfectly in development. Then production hits-and everything breaks. Containers crash mid-task. GPUs sit idle while latency spikes. Costs rise without warning. Upgrade…s interrupt live workflows. Observability tells you nothing when you need answers most.This is the reality most teams face when AI agents leave the prototype phase.Production Containerization for AI Agents confronts that reality head-on. This book is a practical, engineering-focused guide to building AI agent systems that survive real traffic, real failures, and real operational pressure. It treats AI agents not as demos, but as long-running production services that must be deployed, scaled, secured, and operated with discipline.The core solution is clear: apply proven containerization and orchestration practices-Docker, Kubernetes, GPU scheduling, health checks, observability, and failure recovery-specifically adapted for agent workloads. This book shows how experienced teams structure agent runtimes, separate orchestration from inference, manage state safely, control costs, and recover quickly when things go wrong.You will learn how to: Design AI agents as production-grade containerized servicesBuild Docker images that are secure, repeatable, and fast to startDeploy agent systems on Kubernetes without breaking active workflowsScale agents and inference independently under loadOperate GPU-backed agents reliably and cost-effectivelyDetect failures early and recover without losing in-flight workUpgrade agent systems safely while traffic is liveDecide when your system is truly ready to scale furtherEvery chapter is grounded in real-world operational patterns used by teams running AI agents in production today. There is no theory for theory's sake-only techniques that hold up under pressure.If you are an AI engineer, platform engineer, or DevOps professional responsible for shipping and operating agent systems, this book gives you the playbook you wish you had before your first production incident.Stop guessing. Start operating with confidence.Get your copy now and build AI agent systems that actually scale. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
