Corwin adrian j (21 Ergebnisse)

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.

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

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

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - GPT-5 Codex for DevelopersSoftware development is changing faster than ever. GPT-5 Codex is no longer just an AI code assistant-it is a powerful engineering partner capable of understanding complex codebases, generating production-quality implementations, automating development workflows, and accelerating every stage of the software lifecycle.The difference between developers who thrive and those who struggle will increasingly come down to one skill: knowing how to work effectively with AI.GPT-5 Codex for Developers is a practical, hands-on guide that shows you how to transform GPT-5 Codex into a reliable engineering tool for real-world software development. Instead of focusing on theory or isolated prompts, this book teaches production-ready workflows, proven prompting strategies, and complete implementations you can immediately apply to professional projects.Inside this book, you'll learn how to: - Build high-precision prompting frameworks for consistent code generation- Create AI-powered debugging and refactoring assistants- Develop intelligent Git workflow automation- Build terminal-based developer companions- Design multi-step autonomous coding agents- Analyze and optimize large repositories with AI- Generate documentation and APIs automatically- Secure, monitor, and deploy AI-powered developer tools- Reduce token costs while improving performance- Integrate GPT-5 Codex into modern CI/CD pipelinesEvery chapter includes practical examples, complete code, implementation guidance, testing strategies, common pitfalls, best practices, and reusable components that you can adapt to your own projects.Rather than presenting isolated techniques, the book follows a cumulative approach. Each chapter builds upon previous concepts until you've assembled a professional AI-powered development toolkit suitable for production environments.This book is written for software developers, backend and full-stack engineers, DevOps professionals, automation engineers, technical consultants, and technical founders who already have experience with Python, Git, APIs, and command-line tools. It is designed for professionals who want to increase productivity while maintaining high standards for security, scalability, maintainability, and code quality.AI-assisted software engineering is rapidly becoming the new standard. Developers who can build, automate, and maintain intelligent engineering workflows will have a significant advantage in the years ahead.If you're ready to move beyond simple AI code generation and start building production-ready developer tools, intelligent workflows, and scalable engineering systems with GPT-5 Codex, this book will give you the practical knowledge, reusable code, and professional techniques to make it happen. …

Taschenbuch. Zustand: Neu. Neuware - Many engineers can get a container running on OpenShift. Fewer can explain why the Pod landed where it did, how traffic reaches it, what happens when a node fails, or how to recover when a deployment introduces a defect. Documentation and short tutorials often teach isolated commands. Production work demands something deeper: an understanding of OpenShift as an integrated enterprise platform built on Kubernetes. Red Hat OpenShift in Practice bridges that gap. It takes readers from containers and Kubernetes foundations through the full operational life of cloud-native applications on OpenShift deployment, networking, storage, security, scaling, delivery automation, observability, Operators, cluster lifecycle, and production operations. The book is written for practitioners who need more than a getting-started guide. It serves DevOps engineers, platform engineers, SREs, cloud and infrastructure engineers, Linux administrators, application developers working with containers, and Kubernetes practitioners transitioning to OpenShift. Newcomers receive the conceptual grounding required to follow the material. Experienced Kubernetes users gain a clear view of what OpenShift adds and how its architecture, security model, networking, and day-two services change real operational practice. Rather than presenting OpenShift as a collection of features or console clicks, the material follows a consistent progression: concept, architecture, mechanism, implementation, verification, operations, and troubleshooting. Readers learn not only how to deploy a workload, but how the control plane, scheduler, network, storage, and security controls interact; how to expose applications securely; how to design and diagnose networking paths; how to manage persistent and stateful workloads; how to implement identity, RBAC, and workload constraints; how to scale both applications and cluster capacity; how to build modern CI/CD and GitOps workflows; how to interpret metrics, logs, and events; and how to troubleshoot failures systematically. Special attention is given to the realities that appear after an application first starts successfully. Security, multi-tenancy, network isolation, storage durability, availability under failure, observability, automated delivery, Operator-based lifecycle management, upgrades, backup, recovery, and governance are treated as core engineering concerns rather than advanced afterthoughts. The goal is competence in operating OpenShift environments, not merely the ability to launch containers.>Whether the task is deploying the first multi-component application, securing a multi-tenant platform, diagnosing a production networking failure, planning a cluster upgrade, or designing a repeatable delivery pipeline, Red Hat OpenShift in Practice equips readers to understand the system, reason about its behavior, and operate it with confidence.…

Taschenbuch. Zustand: Neu. Neuware.