Morden Developer Toolkit - 8 Book Series (17 results)

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Are you still building microservices the same way you did a few years ago while the world races toward Generative AI, intelligent agents, and retrieval-powered applications?Have you wondered how modern organizations are integrating Large Language Models into enterprise systems without sacrificing scalability, security, performance, or maintainability? Are you searching for a practical way to combine the power of Spring Boot 4 with the transformative capabilities of AI-driven applications?If those questions sound familiar, then this book was written for you.What if your microservices could do more than process requests? What if they could understand context, retrieve knowledge, generate intelligent responses, orchestrate workflows, and collaborate with AI agents to solve complex business problems?Spring Boot 4 with AI Microservices takes you on a hands-on journey into the next generation of Java application development, where cloud-native architecture meets the rapidly evolving world of Generative AI.Instead of overwhelming you with theory, this book focuses on practical implementation. You'll discover how to design intelligent microservices that integrate seamlessly with modern AI technologies while maintaining the reliability and robustness expected in enterprise environments.Want to build AI-powered applications that can retrieve accurate information from your organization's knowledge base?Learn how Retrieval-Augmented Generation (RAG) pipelines work and how they can dramatically improve the quality, relevance, and trustworthiness of AI-generated responses.Curious about AI agents and autonomous workflows?Explore how intelligent agents can interact with services, execute tasks, make decisions, and collaborate across distributed systems to create smarter applications.Looking for a way to modernize your Java architecture for the AI era?You'll gain a deeper understanding of cloud-native design principles, scalable microservice patterns, distributed architectures, API integration strategies, vector-powered search systems, and production-ready AI deployments.Whether you're a Java developer seeking to expand your AI expertise, a software architect designing next-generation enterprise platforms, a backend engineer exploring intelligent automation, or a technology leader preparing your organization for the future, this book provides the knowledge and practical guidance needed to bridge the gap between traditional software development and modern AI innovation.Throughout the journey, you'll move from foundational concepts to real-world implementations, learning not only how these technologies work individually but also how they work together to create intelligent, scalable, and resilient systems.The future of enterprise software belongs to organizations that can successfully combine cloud-native architecture with artificial intelligence. The question is: will you be ready to build it?Why merely learn about AI when you can learn how to engineer AI-powered systems that solve real business problems? Why watch the future unfold when you can help create it?Your next breakthrough project could start with the knowledge inside these pages.Scroll up and get your copy today to start building enterprise-grade AI microservices with Spring Boot 4 and take your Java development skills to an entirely new level. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Are your AWS bills increasing every month, yet you're not entirely sure where the money is going? Have you ever looked at your cloud costs and wondered why they continue to rise even after deploying scalable infrastructure? What if you could reduce unnecessary spending without sacrificing performance, reliability, or innovation?AWS Cost Optimization: Cloud FinOps Using Terraform, OpenTofu, and Infrastructure as Code is your practical roadmap to transforming cloud spending from a growing expense into a strategic advantage. Whether you're a cloud architect, DevOps engineer, platform engineer, FinOps practitioner, IT manager, consultant, or an ambitious learner, this book will help you understand how to build a culture of financial accountability while automating cost optimization across your AWS environment.Have you ever questioned whether your infrastructure is truly optimized? Are idle resources, oversized instances, forgotten storage volumes, or inefficient deployment patterns quietly draining your budget? What if every dollar spent in AWS delivered measurable business value?Inside these pages, you'll discover how Cloud FinOps bridges the gap between engineering, finance, and operations to create smarter, data-driven decisions. Instead of relying on manual processes or reactive cost-cutting, you'll learn how Infrastructure as Code with Terraform and OpenTofu enables repeatable, scalable, and automated cloud governance from the very beginning.Imagine deploying infrastructure that is designed not only for reliability and scalability but also for continuous cost efficiency. Learn practical strategies for implementing tagging standards, resource lifecycle management, policy-driven automation, rightsizing, budget monitoring, governance, and cost visibility that help organizations gain greater control over their AWS environments.Wondering how successful cloud teams consistently keep costs under control? Curious about integrating FinOps into your DevOps workflows without slowing innovation? Looking for practical techniques rather than vague theory? This book answers those questions with real-world guidance, proven methodologies, and implementation-focused examples that you can confidently adapt to your own projects.You'll also gain a deeper understanding of how automation eliminates repetitive operational tasks, improves compliance, reduces cloud waste, and creates predictable, efficient infrastructure management. Instead of constantly reacting to rising cloud bills, you'll learn how to proactively design environments that remain optimized as they grow.Whether you're managing a startup's cloud infrastructure, supporting enterprise-scale AWS workloads, preparing for cloud certifications, or simply determined to master modern FinOps practices, this guide equips you with the knowledge and confidence to make informed decisions that deliver long-term financial and operational value.The cloud doesn't have to be expensive-it has to be managed intelligently. If you're ready to automate smarter, optimize continuously, strengthen governance, and maximize every investment you make in AWS, this book belongs on your desk.Take the next step today. Scroll up, click "Buy Now," and start building AWS infrastructure that is efficient, scalable, automated, and cost-optimized from day one. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Are you ready to move beyond simply using Linux on embedded hardware and start understanding what happens beneath the surface?What if you could learn how Linux communicates with hardware, how kernel drivers are structured, and how software can control real embedded devices?Embedded Linux Device Driver Development by Gavin Maverick is a practical guide for developers, students, engineers, and aspiring embedded Linux professionals who want to understand how device drivers are built, configured, tested, and integrated into real systems.Have you ever wondered how a Linux system recognizes a hardware device? How does the kernel know what a peripheral is, where it is located, or how it should communicate with it? What exactly happens between a user-space application and the hardware underneath?This book takes you into that layer.You'll explore the foundations of Linux kernel driver development and progressively work toward the technologies that matter in modern embedded systems. Instead of treating device drivers as mysterious kernel code, this book helps you understand the concepts, interfaces, and development process behind them.How does the Linux kernel interact with hardware through the Device Tree? How can GPIOs be controlled from a driver? How does I2C communication work when your driver needs to communicate with sensors or peripheral devices? What makes SPI different, and when would you use it? And when ordinary data transfers are not enough, how can DMA improve the movement of data between devices and memory?You'll explore these questions while developing a stronger understanding of: Linux kernel modules and driver architectureDevice Tree concepts and hardware descriptionGPIO control and hardware interactionI2C communication and peripheral driversSPI interfaces and device communicationDMA concepts and data transferDriver initialization and kernel integrationDebugging and troubleshooting techniquesPractical approaches to embedded hardware developmentWhat happens when you stop memorizing driver concepts and start understanding how the pieces work together? You become better equipped to approach unfamiliar hardware, read existing driver code, identify problems, and build solutions of your own.Whether you are taking your first steps into embedded Linux or looking to strengthen your existing kernel-development skills, this book gives you a structured path from fundamental concepts toward practical driver development.Are you a student trying to understand Linux kernel programming? An embedded developer working with custom hardware? An engineer dealing with GPIO, I2C, SPI, or DMA? Or simply someone asking, "How does Linux actually talk to the hardware?"If you want to build a deeper, more practical understanding of Linux device drivers, this is where you can begin.Stop treating the kernel as a black box. Start understanding the connection between Linux software and embedded hardware.Get your copy of Embedded Linux Device Driver Development today and start building the knowledge needed to develop, debug, and work confidently with Linux kernel drivers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Are you still building microservices the same way you did a few years ago while the world races toward Generative AI, intelligent agents, and retrieval-powered applications?Have you wondered how modern organizations are integrating Large Language Models into enterprise systems without sacrificing scalability, security, performance, or maintainability? Are you searching for a practical way to combine the power of Spring Boot 4 with the transformative capabilities of AI-driven applications?If those questions sound familiar, then this book was written for you.What if your microservices could do more than process requests? What if they could understand context, retrieve knowledge, generate intelligent responses, orchestrate workflows, and collaborate with AI agents to solve complex business problems?Spring Boot 4 with AI Microservices takes you on a hands-on journey into the next generation of Java application development, where cloud-native architecture meets the rapidly evolving world of Generative AI.Instead of overwhelming you with theory, this book focuses on practical implementation. You'll discover how to design intelligent microservices that integrate seamlessly with modern AI technologies while maintaining the reliability and robustness expected in enterprise environments.Want to build AI-powered applications that can retrieve accurate information from your organization's knowledge base?Learn how Retrieval-Augmented Generation (RAG) pipelines work and how they can dramatically improve the quality, relevance, and trustworthiness of AI-generated responses.Curious about AI agents and autonomous workflows?Explore how intelligent agents can interact with services, execute tasks, make decisions, and collaborate across distributed systems to create smarter applications.Looking for a way to modernize your Java architecture for the AI era?You'll gain a deeper understanding of cloud-native design principles, scalable microservice patterns, distributed architectures, API integration strategies, vector-powered search systems, and production-ready AI deployments.Whether you're a Java developer seeking to expand your AI expertise, a software architect designing next-generation enterprise platforms, a backend engineer exploring intelligent automation, or a technology leader preparing your organization for the future, this book provides the knowledge and practical guidance needed to bridge the gap between traditional software development and modern AI innovation.Throughout the journey, you'll move from foundational concepts to real-world implementations, learning not only how these technologies work individually but also how they work together to create intelligent, scalable, and resilient systems.The future of enterprise software belongs to organizations that can successfully combine cloud-native architecture with artificial intelligence. The question is: will you be ready to build it?Why merely learn about AI when you can learn how to engineer AI-powered systems that solve real business problems? Why watch the future unfold when you can help create it?Your next breakthrough project could start with the knowledge inside these pages.Scroll up and get your copy today to start building enterprise-grade AI microservices with Spring Boot 4 and take your Java development skills to an entirely new level. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Are your AWS bills increasing every month, yet you're not entirely sure where the money is going? Have you ever looked at your cloud costs and wondered why they continue to rise even after deploying scalable infrastructure? What if you could reduce unnecessary spending without sacrificing performance, reliability, or innovation?AWS Cost Optimization: Cloud FinOps Using Terraform, OpenTofu, and Infrastructure as Code is your practical roadmap to transforming cloud spending from a growing expense into a strategic advantage. Whether you're a cloud architect, DevOps engineer, platform engineer, FinOps practitioner, IT manager, consultant, or an ambitious learner, this book will help you understand how to build a culture of financial accountability while automating cost optimization across your AWS environment.Have you ever questioned whether your infrastructure is truly optimized? Are idle resources, oversized instances, forgotten storage volumes, or inefficient deployment patterns quietly draining your budget? What if every dollar spent in AWS delivered measurable business value?Inside these pages, you'll discover how Cloud FinOps bridges the gap between engineering, finance, and operations to create smarter, data-driven decisions. Instead of relying on manual processes or reactive cost-cutting, you'll learn how Infrastructure as Code with Terraform and OpenTofu enables repeatable, scalable, and automated cloud governance from the very beginning.Imagine deploying infrastructure that is designed not only for reliability and scalability but also for continuous cost efficiency. Learn practical strategies for implementing tagging standards, resource lifecycle management, policy-driven automation, rightsizing, budget monitoring, governance, and cost visibility that help organizations gain greater control over their AWS environments.Wondering how successful cloud teams consistently keep costs under control? Curious about integrating FinOps into your DevOps workflows without slowing innovation? Looking for practical techniques rather than vague theory? This book answers those questions with real-world guidance, proven methodologies, and implementation-focused examples that you can confidently adapt to your own projects.You'll also gain a deeper understanding of how automation eliminates repetitive operational tasks, improves compliance, reduces cloud waste, and creates predictable, efficient infrastructure management. Instead of constantly reacting to rising cloud bills, you'll learn how to proactively design environments that remain optimized as they grow.Whether you're managing a startup's cloud infrastructure, supporting enterprise-scale AWS workloads, preparing for cloud certifications, or simply determined to master modern FinOps practices, this guide equips you with the knowledge and confidence to make informed decisions that deliver long-term financial and operational value.The cloud doesn't have to be expensive-it has to be managed intelligently. If you're ready to automate smarter, optimize continuously, strengthen governance, and maximize every investment you make in AWS, this book belongs on your desk.Take the next step today. Scroll up, click "Buy Now," and start building AWS infrastructure that is efficient, scalable, automated, and cost-optimized from day one. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Are you ready to move beyond simply using Linux on embedded hardware and start understanding what happens beneath the surface?What if you could learn how Linux communicates with hardware, how kernel drivers are structured, and how software can control real embedded devices?Embedded Linux Device Driver Development by Gavin Maverick is a practical guide for developers, students, engineers, and aspiring embedded Linux professionals who want to understand how device drivers are built, configured, tested, and integrated into real systems.Have you ever wondered how a Linux system recognizes a hardware device? How does the kernel know what a peripheral is, where it is located, or how it should communicate with it? What exactly happens between a user-space application and the hardware underneath?This book takes you into that layer.You'll explore the foundations of Linux kernel driver development and progressively work toward the technologies that matter in modern embedded systems. Instead of treating device drivers as mysterious kernel code, this book helps you understand the concepts, interfaces, and development process behind them.How does the Linux kernel interact with hardware through the Device Tree? How can GPIOs be controlled from a driver? How does I2C communication work when your driver needs to communicate with sensors or peripheral devices? What makes SPI different, and when would you use it? And when ordinary data transfers are not enough, how can DMA improve the movement of data between devices and memory?You'll explore these questions while developing a stronger understanding of: Linux kernel modules and driver architectureDevice Tree concepts and hardware descriptionGPIO control and hardware interactionI2C communication and peripheral driversSPI interfaces and device communicationDMA concepts and data transferDriver initialization and kernel integrationDebugging and troubleshooting techniquesPractical approaches to embedded hardware developmentWhat happens when you stop memorizing driver concepts and start understanding how the pieces work together? You become better equipped to approach unfamiliar hardware, read existing driver code, identify problems, and build solutions of your own.Whether you are taking your first steps into embedded Linux or looking to strengthen your existing kernel-development skills, this book gives you a structured path from fundamental concepts toward practical driver development.Are you a student trying to understand Linux kernel programming? An embedded developer working with custom hardware? An engineer dealing with GPIO, I2C, SPI, or DMA? Or simply someone asking, "How does Linux actually talk to the hardware?"If you want to build a deeper, more practical understanding of Linux device drivers, this is where you can begin.Stop treating the kernel as a black box. Start understanding the connection between Linux software and embedded hardware.Get your copy of Embedded Linux Device Driver Development today and start building the knowledge needed to develop, debug, and work confidently with Linux kernel drivers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…