Verran Caleb (23 results)

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware - Ubuntu Server Mastery A Complete Guide to Linux Administration, Security, Networking, Automation, and Production Infrastructure>Ubuntu Server Mastery is a structured, practical guide to administering Ubuntu Server as a complete system. It moves from foundational Linux and Ubuntu concepts through command-line work, identity and access control, package and service management, storage, networking, security hardening, application services, virtualization and containers, automation, monitoring and troubleshooting, backup and recovery, and production operations. The focus is technical judgment. Commands are explained in context-what they change, how to verify results, and what commonly goes wrong. Security is treated as part of ordinary administration. Automation reduces repetition and inconsistency. Monitoring, logging, and structured troubleshooting support evidence-based diagnosis. Backup and recovery are presented as essential operational practices. Readers learn how Ubuntu Server is built from the kernel, userland, and Debian packaging system; how to manage users, permissions, and privilege escalation; how to control software and services with APT and systemd; how to design reliable storage; how to configure networking and secure SSH; how to harden hosts and apply host-based defenses; how to deploy web servers, reverse proxies, TLS, and databases; how to isolate workloads with VMs and containers; how to automate configuration and provisioning; and how to observe, diagnose, and recover systems. The book suits Linux beginners seeking a clear path into server administration, developers needing stronger infrastructure skills, systems administrators deepening Ubuntu practice, DevOps and platform engineers, cloud practitioners, technical students, and home-lab users. Experienced Linux users who want a more systematic treatment of Ubuntu Server will also benefit. Ubuntu Server Mastery does not promise instant expertise. It offers a coherent progression from understanding how a Linux server works to operating one with security awareness, automation, observability, and recovery planning. The goal is practical competence: configuring systems deliberately, diagnosing problems methodically, automating repeated work, and keeping infrastructure reliable over time. If you need to move beyond isolated commands and develop real working ability with Ubuntu Server, this book provides the structured path.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Paperback. Condition: new. Paperback. Ubuntu Server Mastery A Complete Guide to Linux Administration, Security, Networking, Automation, and Production InfrastructureMany people who work with Ubuntu Server know enough commands to install packages, edit configs, and restart services. Fewer understand how those pieces fit together when a system must stay secure, reachable, observable, and recoverable under real conditions. The gap shows up the first time a service fails after an update, a firewall blocks legitimate traffic, a disk fills without warning, or a host must be rebuilt from scratch. Ubuntu Server Mastery is a structured, practical guide to administering Ubuntu Server as a complete system. It moves from foundational Linux and Ubuntu concepts through command-line work, identity and access control, package and service management, storage, networking, security hardening, application services, virtualization and containers, automation, monitoring and troubleshooting, backup and recovery, and production operations. The focus is technical judgment. Commands are explained in context-what they change, how to verify results, and what commonly goes wrong. Security is treated as part of ordinary administration. Automation reduces repetition and inconsistency. Monitoring, logging, and structured troubleshooting support evidence-based diagnosis. Backup and recovery are presented as essential operational practices. Readers learn how Ubuntu Server is built from the kernel, userland, and Debian packaging system; how to manage users, permissions, and privilege escalation; how to control software and services with APT and systemd; how to design reliable storage; how to configure networking and secure SSH; how to harden hosts and apply host-based defenses; how to deploy web servers, reverse proxies, TLS, and databases; how to isolate workloads with VMs and containers; how to automate configuration and provisioning; and how to observe, diagnose, and recover systems. The book suits Linux beginners seeking a clear path into server administration, developers needing stronger infrastructure skills, systems administrators deepening Ubuntu practice, DevOps and platform engineers, cloud practitioners, technical students, and home-lab users. Experienced Linux users who want a more systematic treatment of Ubuntu Server will also benefit. Ubuntu Server Mastery does not promise instant expertise. It offers a coherent progression from understanding how a Linux server works to operating one with security awareness, automation, observability, and recovery planning. The goal is practical competence: configuring systems deliberately, diagnosing problems methodically, automating repeated work, and keeping infrastructure reliable over time. If you need to move beyond isolated commands and develop real working ability with Ubuntu Server, this book provides the structured path. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condition: new. Paperback. Connecting a Spring Boot application to a large language model is straightforward. Engineering an intelligent system that remains reliable, testable, secure, and ready for production is not. Spring AI Engineering is written for Java and Spring developers who need more than API examples. It is a practical guide to architecting, building, testing, and deploying generative AI applications with Spring AI from the first model interaction through retrieval-augmented generation, tool calling, workflows, and production operations. The book starts where serious work begins: understanding generative models as application components with distinctive latency, cost, and failure characteristics. Readers learn how to design prompts and context deliberately, produce structured outputs that application code can trust, and maintain conversational state without exhausting context windows. From there the material advances into embeddings, vector search, and Retrieval-Augmented Generation treated as an information-retrieval and systems problem not merely as loading documents into a vector store. Multimodal capabilities, tool calling, and the Model Context Protocol extend what applications can perceive and do. AI workflows and agentic patterns are examined with engineering judgment in the foreground: the simplest architecture that solves the problem is preferred, and autonomy is introduced only when it is justified. Later chapters address production architecture, testing and evaluation of non-deterministic behavior, observability, security threats such as prompt injection, and the practical steps of deploying and operating Spring AI systems under real constraints. The intended reader is a proficient Java or Spring Boot developer backend engineer, software engineer, or technical architect who already understands Spring fundamentals and is ready to incorporate large language models, RAG, tools, and related generative AI capabilities into enterprise applications. The book does not teach programming from scratch. It develops the architectural reasoning, implementation patterns, and operational discipline required to move from a working demonstration to a maintainable intelligent system. What distinguishes this material is its engineering-first progression. Readers do not only learn how to invoke models. They learn how to choose an appropriate AI architecture, ground responses in reliable knowledge, connect systems to external tools safely, decide when workflows or agents are warranted, evaluate quality over time, observe cost and latency in production, and protect applications and data. Conceptual foundations, design decisions, practical implementation, failure modes, and production considerations are woven through the journey so that each capability is understood in context. If the goal is to build generative AI applications with Spring Boot and Spring AI that can be trusted beyond the demo, this book provides a coherent path from foundations to production. 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. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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

Condition: New. Print on Demand.

Condition: New. Print on Demand.

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.

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

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Many developers learn Laravel syntax quickly enough to follow a tutorial, then stall when it is time to structure a real application, protect it, test it, and put it into production. Individual features make sense in isolation. The harder part is understanding how routing, Eloquent, authentication, queues, APIs, and deployment fit together as one maintainable system. Laravel 13 Mastery is a complete beginner-to-production guide to building modern PHP applications with the Laravel framework. It takes you from core fundamentals through application architecture, database design, authentication and authorization, REST APIs, asynchronous workflows, automated testing, security, performance, full-stack development, and production deployment and scaling. You will work with the tools professional Laravel developers use every day: Artisan, routing, controllers, middleware, Blade, Vite, migrations, Eloquent ORM, the query builder, form requests, policies, the service container, dependency injection, Sanctum-style API authentication, events, jobs, queues, notifications, mail, file storage, caching, task scheduling, and PHPUnit-based tests. More importantly, you will learn how those pieces support clear boundaries, testable design, and operational reliability. This is not a rewrite of the framework documentation and not a string of disconnected demos. Documentation remains the right place for precise API reference. This book supplies the missing layer: progressive learning, architectural reasoning, realistic workflows, trade-offs, and production concerns so you can decide what to use, when to use it, and how it should behave under failure and under load. The path is deliberate. You start with Laravel 13 foundations and HTTP request handling, then move into Blade interfaces, relational modeling with migrations and Eloquent, and solid validation, authentication, and authorization. You build maintainable structure with services and dependency injection, expose stable REST APIs, and implement events, listeners, jobs, queues, and notifications for work that does not belong in the request cycle. You add storage, caching, and scheduling, then treat automated testing as a core practice. Security, performance, and production hardening are addressed as engineering disciplines. A full-stack application chapter pulls the capabilities into one coherent system. The final stage covers deployment with web servers and PHP-FPM, configuration and secrets, queue workers, logging, monitoring, scaling, and long-term operational practice. Whether you are new to Laravel, moving from general PHP, or past the tutorial stage and ready for deeper architecture and production skill, the book is written to meet you with clear explanation first and professional depth as you progress. The aim is not memorization of commands. The aim is confidence: the ability to design, build, test, secure, deploy, and operate Laravel applications that hold up beyond the local development environment. If you are ready to move from Laravel features to complete, production-minded applications, start with Laravel 13 Mastery and build that foundation with intent. 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. 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.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. Ubuntu Server Mastery A Complete Guide to Linux Administration, Security, Networking, Automation, and Production InfrastructureMany people who work with Ubuntu Server know enough commands to install packages, edit configs, and restart services. Fewer understand how those pieces fit together when a system must stay secure, reachable, observable, and recoverable under real conditions. The gap shows up the first time a service fails after an update, a firewall blocks legitimate traffic, a disk fills without warning, or a host must be rebuilt from scratch. Ubuntu Server Mastery is a structured, practical guide to administering Ubuntu Server as a complete system. It moves from foundational Linux and Ubuntu concepts through command-line work, identity and access control, package and service management, storage, networking, security hardening, application services, virtualization and containers, automation, monitoring and troubleshooting, backup and recovery, and production operations. The focus is technical judgment. Commands are explained in context-what they change, how to verify results, and what commonly goes wrong. Security is treated as part of ordinary administration. Automation reduces repetition and inconsistency. Monitoring, logging, and structured troubleshooting support evidence-based diagnosis. Backup and recovery are presented as essential operational practices. Readers learn how Ubuntu Server is built from the kernel, userland, and Debian packaging system; how to manage users, permissions, and privilege escalation; how to control software and services with APT and systemd; how to design reliable storage; how to configure networking and secure SSH; how to harden hosts and apply host-based defenses; how to deploy web servers, reverse proxies, TLS, and databases; how to isolate workloads with VMs and containers; how to automate configuration and provisioning; and how to observe, diagnose, and recover systems. The book suits Linux beginners seeking a clear path into server administration, developers needing stronger infrastructure skills, systems administrators deepening Ubuntu practice, DevOps and platform engineers, cloud practitioners, technical students, and home-lab users. Experienced Linux users who want a more systematic treatment of Ubuntu Server will also benefit. Ubuntu Server Mastery does not promise instant expertise. It offers a coherent progression from understanding how a Linux server works to operating one with security awareness, automation, observability, and recovery planning. The goal is practical competence: configuring systems deliberately, diagnosing problems methodically, automating repeated work, and keeping infrastructure reliable over time. If you need to move beyond isolated commands and develop real working ability with Ubuntu Server, this book provides the structured path. 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. Connecting a Spring Boot application to a large language model is straightforward. Engineering an intelligent system that remains reliable, testable, secure, and ready for production is not. Spring AI Engineering is written for Java and Spring developers who need more than API examples. It is a practical guide to architecting, building, testing, and deploying generative AI applications with Spring AI from the first model interaction through retrieval-augmented generation, tool calling, workflows, and production operations. The book starts where serious work begins: understanding generative models as application components with distinctive latency, cost, and failure characteristics. Readers learn how to design prompts and context deliberately, produce structured outputs that application code can trust, and maintain conversational state without exhausting context windows. From there the material advances into embeddings, vector search, and Retrieval-Augmented Generation treated as an information-retrieval and systems problem not merely as loading documents into a vector store. Multimodal capabilities, tool calling, and the Model Context Protocol extend what applications can perceive and do. AI workflows and agentic patterns are examined with engineering judgment in the foreground: the simplest architecture that solves the problem is preferred, and autonomy is introduced only when it is justified. Later chapters address production architecture, testing and evaluation of non-deterministic behavior, observability, security threats such as prompt injection, and the practical steps of deploying and operating Spring AI systems under real constraints. The intended reader is a proficient Java or Spring Boot developer backend engineer, software engineer, or technical architect who already understands Spring fundamentals and is ready to incorporate large language models, RAG, tools, and related generative AI capabilities into enterprise applications. The book does not teach programming from scratch. It develops the architectural reasoning, implementation patterns, and operational discipline required to move from a working demonstration to a maintainable intelligent system. What distinguishes this material is its engineering-first progression. Readers do not only learn how to invoke models. They learn how to choose an appropriate AI architecture, ground responses in reliable knowledge, connect systems to external tools safely, decide when workflows or agents are warranted, evaluate quality over time, observe cost and latency in production, and protect applications and data. Conceptual foundations, design decisions, practical implementation, failure modes, and production considerations are woven through the journey so that each capability is understood in context. If the goal is to build generative AI applications with Spring Boot and Spring AI that can be trusted beyond the demo, this book provides a coherent path from foundations to production. 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. Modern data platforms must support analytics, continuous ingestion, complex transformations, governed data products, applications, and AI workloads that depend on trustworthy enterprise data. Snowflake provides a powerful foundation for these needs through separated storage and compute, elastic warehouses, and rich engineering capabilities. Turning those capabilities into reliable, efficient, and secure platforms requires more than syntax knowledge or feature familiarity. Mastering Snowflake teaches professionals how to design, build, optimize, secure, govern, and operate production-ready Snowflake data platforms. It treats Snowflake as an engineering environment. Readers learn how architecture, data modeling, ingestion, transformation, Snowpark, analytics, security, governance, performance, cost control, and AI integration work together as a coherent system. The focus is engineering judgment: understanding why an approach is appropriate, when it should be avoided, how it affects performance and cost, and what is required to keep it reliable in production. The book progresses from Snowflake's cloud-native architecture and the practical implications of storage, compute, and virtual warehouses into rigorous data modeling, including dimensional design, historical data handling, and the lasting importance of data shape for performance and usability. It examines micro-partitions, pruning, Time Travel, and zero-copy cloning, then moves into large-scale loading, continuous ingestion with Snowpipe, incremental processing with Streams and Tasks, and declarative transformation with Dynamic Tables. Data quality, idempotency, and operational observability are treated as design requirements.Transformation patterns develop into maintainable layered architectures and trusted analytical datasets. Snowpark is covered for Python-based workloads that need to process data close to where it resides. Analytical consumption, semantic structures, Streamlit applications, open table formats, and secure data sharing are addressed as governed interfaces. AI and machine learning are integrated as extensions of the data platform, covering Cortex-powered workflows, embeddings and retrieval, feature engineering, and the governance required for production use. Security and governance are presented as architectural foundations role-based access, masking, row-level policies, classification, and auditing. Performance engineering and cost optimization receive equal weight, with practical treatment of pruning, clustering, warehouse sizing, concurrency, and resource management. Later chapters cover environment separation, reliability, migration, scalability, and the patterns needed for production systems. The final chapter unifies these elements into an end-to-end production data and AI platform. Written for data engineers, architects, analytics engineers, software and cloud engineers, ML practitioners, database professionals, and technical leads, the book builds strong foundations while delivering the architectural depth and production judgment required by experienced practitioners. Readers finish able to evaluate trade-offs, design coherent platforms, implement reliable pipelines, control performance and cost, enforce governance, and evolve systems as requirements change. In an environment where data platforms must deliver analytics, engineering, and AI under real constraints of security, cost, and operational accountability, technical familiarity alone is not enough. This book develops the practical competence and architectural judgment required to turn Snowflake into a trustworthy, efficient, and maintainable foundation for modern data work. 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. Many developers learn Laravel syntax quickly enough to follow a tutorial, then stall when it is time to structure a real application, protect it, test it, and put it into production. Individual features make sense in isolation. The harder part is understanding how routing, Eloquent, authentication, queues, APIs, and deployment fit together as one maintainable system. Laravel 13 Mastery is a complete beginner-to-production guide to building modern PHP applications with the Laravel framework. It takes you from core fundamentals through application architecture, database design, authentication and authorization, REST APIs, asynchronous workflows, automated testing, security, performance, full-stack development, and production deployment and scaling. You will work with the tools professional Laravel developers use every day: Artisan, routing, controllers, middleware, Blade, Vite, migrations, Eloquent ORM, the query builder, form requests, policies, the service container, dependency injection, Sanctum-style API authentication, events, jobs, queues, notifications, mail, file storage, caching, task scheduling, and PHPUnit-based tests. More importantly, you will learn how those pieces support clear boundaries, testable design, and operational reliability. This is not a rewrite of the framework documentation and not a string of disconnected demos. Documentation remains the right place for precise API reference. This book supplies the missing layer: progressive learning, architectural reasoning, realistic workflows, trade-offs, and production concerns so you can decide what to use, when to use it, and how it should behave under failure and under load. The path is deliberate. You start with Laravel 13 foundations and HTTP request handling, then move into Blade interfaces, relational modeling with migrations and Eloquent, and solid validation, authentication, and authorization. You build maintainable structure with services and dependency injection, expose stable REST APIs, and implement events, listeners, jobs, queues, and notifications for work that does not belong in the request cycle. You add storage, caching, and scheduling, then treat automated testing as a core practice. Security, performance, and production hardening are addressed as engineering disciplines. A full-stack application chapter pulls the capabilities into one coherent system. The final stage covers deployment with web servers and PHP-FPM, configuration and secrets, queue workers, logging, monitoring, scaling, and long-term operational practice. Whether you are new to Laravel, moving from general PHP, or past the tutorial stage and ready for deeper architecture and production skill, the book is written to meet you with clear explanation first and professional depth as you progress. The aim is not memorization of commands. The aim is confidence: the ability to design, build, test, secure, deploy, and operate Laravel applications that hold up beyond the local development environment. If you are ready to move from Laravel features to complete, production-minded applications, start with Laravel 13 Mastery and build that foundation with intent. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…