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Zustand: New.

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Taschenbuch. Zustand: Neu. Neuware - Kubernetes can seem overwhelming when you first encounter Pods, clusters, YAML files, Services, Helm charts, and GitOps workflows. This book makes every concept easier to understand and apply.Kubernetes for Beginners is a practical, step-by-step guide for developers, system administrators, students, Docker users, and aspiring DevOps or cloud engineers who want to learn container orchestration without unnecessary complexity.Starting with containers and Kubernetes architecture, you will learn how to create a local cluster, deploy applications, manage workloads, connect services, store configuration, protect sensitive information, and preserve application data.You will also discover how to: - Work confidently with kubectl and Kubernetes YAML- Create and manage Pods, ReplicaSets, and Deployments- Expose applications with Services and Ingress- Use ConfigMaps and Secrets correctly- Deploy databases with persistent storage- Configure health probes and resource limits- Scale applications manually and automatically- Apply RBAC, security contexts, and NetworkPolicies- Package applications using Helm- Build a GitOps workflow with Git and Argo CD- Monitor logs, metrics, and cluster events- Diagnose common Kubernetes errors- Deploy a complete cloud-native applicationEach chapter explains the problem first, introduces the Kubernetes feature that solves it, and then guides you through a practical exercise. Commands, YAML manifests, troubleshooting steps, and hands-on projects are presented clearly so you understand what each configuration does instead of simply copying code.The final project brings everything together as you deploy a multi-tier application with a frontend, API, database, networking, persistent storage, health checks, scaling, security, Helm packaging, and GitOps deployment.Whether you are preparing for a DevOps career, improving your cloud-native skills, or learning how modern applications are deployed, this book gives you the practical foundation needed to start working with Kubernetes confidently.Build, deploy, scale, secure, and manage Kubernetes applications-one clear step at a time.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Build the future of AI systems with practical, production-focused engineering skills.AI is moving beyond chatbots and simple automation. Modern systems can reason, retrieve knowledge, use tools, coordinate workflows, and operate with increasing autonomy. These systems-known as Agentic AI-are transforming how developers build software and how organizations scale intelligent operations.Agentic AI for AI Engineers: Building Autonomous AI Agents, Intelligent Workflows, and Real-World AI Automation Systems is a hands-on guide designed for developers, AI engineers, software architects, and technology professionals who want to move beyond theory and learn how autonomous AI systems are designed in real-world environments.Rather than focusing on hype or abstract concepts, this book explores the practical engineering side of agentic systems-from architecture and memory design to retrieval pipelines, workflow orchestration, infrastructure, and production deployment.Inside this book, you will learn how to: 1. Understand the foundations of Agentic AI and autonomous systems2. Design AI agents capable of planning, reasoning, and decision-making3. Build intelligent workflows and multi-agent architectures4. Implement memory systems, embeddings, vector databases, and RAG pipelines5. Connect AI systems to APIs, tools, and external services6. Develop AI copilots, assistants, and workflow automation platforms7. Create scalable and production-ready AI infrastructure8. Monitor, evaluate, and optimize autonomous systems9. Explore enterprise AI automation and real-world deployment strategies10. Understand emerging trends, ethical considerations, and future opportunities in AI engineeringThis book also includes: - Practical code examples and implementation patterns- Architecture insights for scalable systems- Real-world engineering scenarios and workflow designs- AI engineering terminology and reference appendices- Prompt engineering guidance and recommended frameworksWhether you are building AI assistants, autonomous agents, enterprise workflows, retrieval systems, or next-generation AI platforms, this book provides the technical foundation and practical knowledge needed to design systems that are reliable, scalable, and useful beyond the prototype stage.The next generation of AI is not just about smarter models. It is about building intelligent systems that can think, act, collaborate, and operate in the real world.Start building the future of Agentic AI today.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Paperback. Zustand: new. Paperback. Microsoft Foundry: The Complete Guide to Building Enterprise AI and Intelligent Agents Unlock the full potential of enterprise-grade AI with this comprehensive, practical guide to Microsoft Foundry. Whether you are a developer, data engineer, IT professional, or business leader, this book equips you with the knowledge and tools needed to design, build, and deploy intelligent systems at scale. As organizations rapidly adopt AI-driven solutions, understanding how to leverage Microsoft's ecosystem for building intelligent agents and enterprise applications is no longer optional-it is essential. This book takes you from foundational concepts to advanced implementations, helping you confidently navigate the evolving world of AI-powered systems. Inside this book, you will discover how to: Understand the architecture and core components of Microsoft Foundry Design and develop enterprise AI solutions tailored for real-world use cases Build, deploy, and manage intelligent agents for automation and decision-making Integrate data pipelines, APIs, and cloud services seamlessly Implement secure, scalable, and production-ready AI systems Optimize performance, reliability, and cost efficiency in enterprise environments Apply best practices for governance, compliance, and responsible AI With hands-on examples, clear explanations, and practical workflows, this guide bridges the gap between theory and real-world application. You will gain the confidence to build intelligent systems that drive innovation, improve efficiency, and deliver measurable business value. Whether you are starting your journey into enterprise AI or looking to deepen your expertise, Microsoft Foundry: The Complete Guide to Building Enterprise AI and Intelligent Agents is your essential resource for mastering modern AI development within the Microsoft ecosystem. Take the next step and start building the future of intelligent enterprise solutions today. 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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Paperback. Zustand: new. Paperback. Kubernetes can seem overwhelming when you first encounter Pods, clusters, YAML files, Services, Helm charts, and GitOps workflows. This book makes every concept easier to understand and apply.Kubernetes for Beginners is a practical, step-by-step guide for developers, system administrators, students, Docker users, and aspiring DevOps or cloud engineers who want to learn container orchestration without unnecessary complexity.Starting with containers and Kubernetes architecture, you will learn how to create a local cluster, deploy applications, manage workloads, connect services, store configuration, protect sensitive information, and preserve application data.You will also discover how to: - Work confidently with kubectl and Kubernetes YAML- Create and manage Pods, ReplicaSets, and Deployments- Expose applications with Services and Ingress- Use ConfigMaps and Secrets correctly- Deploy databases with persistent storage- Configure health probes and resource limits- Scale applications manually and automatically- Apply RBAC, security contexts, and NetworkPolicies- Package applications using Helm- Build a GitOps workflow with Git and Argo CD- Monitor logs, metrics, and cluster events- Diagnose common Kubernetes errors- Deploy a complete cloud-native applicationEach chapter explains the problem first, introduces the Kubernetes feature that solves it, and then guides you through a practical exercise. Commands, YAML manifests, troubleshooting steps, and hands-on projects are presented clearly so you understand what each configuration does instead of simply copying code.The final project brings everything together as you deploy a multi-tier application with a frontend, API, database, networking, persistent storage, health checks, scaling, security, Helm packaging, and GitOps deployment.Whether you are preparing for a DevOps career, improving your cloud-native skills, or learning how modern applications are deployed, this book gives you the practical foundation needed to start working with Kubernetes confidently.Build, deploy, scale, secure, and manage Kubernetes applications-one clear step at a time. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. Break Free from Centralized Data Bottlenecks and Scale Your Enterprise Architecture with Data Mesh Is your enterprise trapped under an avalanche of broken ETL pipelines, uncoordinated schema changes, and endless ad-hoc data requests? As organizations grow, centralized data warehouses and monolithic lakes inevitably become massive operational bottlenecks. Central data teams become overwhelmed, data freshness degrades, and critical machine learning and Generative AI initiatives grind to a halt. Data Mesh Advantage: Transforming Bottlenecks into Decentralized Data Products at Scale is the definitive, hands-on engineering playbook for developers, platform architects, and data leaders ready to build a scalable, decentralized data fabric. Moving far beyond abstract theory, this book delivers battle-tested code examples, production architectural blueprints, and step-by-step implementation workflows to help you treat data as a contract-governed, self-describing product owned directly by domain software teams. What You Will Master InsideArchitecting Domain-Driven Data Products: Shift ownership from central data teams to domain squads using automated CLI scaffolding, standardized dbt projects, and local containerized development sandboxes. Declarative Data Contracts & Automated CI/CD Gates: Enforce binding JSON Schema contracts inside integration pipelines to catch breaking schema changes before they ever reach production. Open Table Formats & Zero-Downtime Releases: Master Apache Iceberg, open REST catalogs, and the Write-Audit-Publish (WAP) branching pattern to audit and promote dataset releases safely.Powering AI, RAG, and Machine Learning: Eliminate training-serving skew with point-in-time temporal joins and expose secure, domain-managed Vector Output Ports for real-time Retrieval-Augmented Generation (RAG).Federated Governance & Fine-Grained Security: Implement Attribute-Based Access Control (ABAC), row-level filtering, and column masking that execute dynamically across heterogeneous query engines.Data Mesh FinOps & Cloud Cost Attribution: Programmatically parse query execution telemetry to allocate cloud compute and storage spend back to domain owners with exact query tagging.High-Performance Cross-Domain Analytics: Optimize federated joins across catalog boundaries using dynamic filtering and bloom pushdowns in engines like Trino and Starburst.Who This Book Is ForSoftware Engineers & Data Engineers seeking to build resilient, production-grade data pipelines and adopt modern software engineering practices like versioning, testing, and continuous deployment for data.Data Platform Engineers & Enterprise Architects tasked with building self-serve developer platforms, open metadata catalogs, and federated governance controls.Engineering Leaders, CTOs, & Technical Directors looking to accelerate organizational velocity, enforce financial accountability, and future-proof their data infrastructure for enterprise AI.Stop Fighting Monolithic Pipelines-Start Scaling TodayStop letting centralized bottlenecks slow down your developers and starve your AI workflows. Harness the power of decentralized, contract-governed data products to turn your enterprise data into a continuous engine of business growth. Scroll up and pick up your copy of Data Mesh Advantage today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …