Erik volkmann (81 risultati)

Soft cover. Condizione: VGF. 1st Edition. A lot of six NF or better original release 5 x 7 stills. Size: 27" x 41". Book.

Taschenbuch. Condizione: Neu. Neuware - A practical guide for beginners, career-changers, and non-technical professionals who want to build reusable, portable capabilities for AI agents, without writing a single line of code.If you're using Claude or Codex today, you're probably leaving 90% of their potential untapped.Every new conversation starts the same way.You open a new chat.You explain your preferences again.You paste the same formatting rules.You describe the same workflow you already explained yesterday. and the day before.Your AI starts from zero every time.There's a better way.It takes just one file.SKILL.md is the open format quietly becoming the standard for giving AI agents reusable expertise they can load automatically, follow consistently, and carry across compatible tools.Write it once.Use it again and again.Claude can use it. Codex can use it. And the next generation of AI agents is increasingly adopting the same open approach.This is not a programming book.There are no installations.No terminal commands.No coding experience required.If you can write a checklist, you can build a practical AI skill that saves hours of repetitive work.What You'll Learn: - Build your first working SKILL.md file from scratch in under 90 minutes.- Create skills that AI agents actually recognize and use.- Design portable skills that work across Claude, Codex, and future AI agents built around the same open standard.- Avoid the common mistakes that cause custom skills to fail silently.- Turn repetitive work such as research, reports, writing, documentation, reviews, and analysis into reusable AI workflows.- Organize your expertise into assets you can reuse every day instead of rewriting instructions every time you start a chat.This Book Is Perfect For- Marketers- Business analysts- Consultants- Writers- Operations professionals- Freelancers- Project managers- Educators- Students- Anyone who relies on AI every day but has never written code, and doesn't intend to.Why This Book Is DifferentMost books about AI agents assume you're already a developer.This one doesn't.It starts from the fundamentals, avoids technical jargon, and focuses entirely on practical results.By the end, you'll have real, working AI skills you can use immediately, adapt to your own workflows, and even showcase in a professional portfolio.The AI landscape will continue to evolve.Today's tools may change.Tomorrow's models will improve.But the ability to package your knowledge into reusable AI skills is a capability that will remain valuable regardless of which platform becomes dominant.Build it once.Use it everywhere.Get your copy today and start creating AI skills that work for you every single time.…

Paperback. Condizione: new. Paperback. A hallucinated API call in a web app throws an exception. A hallucinated register value in a motor controller compiles cleanly, passes bench testing, and destroys hardware in a customer's hands three weeks later.That asymmetry is why this book exists.Cursor, GitHub Copilot, and Claude are already inside embedded teams building commercial firmware on ARM Cortex-M silicon. The question is no longer whether to use them, it's whether you're using them in a way that accounts for what AI tools genuinely cannot know: your register map, your memory budget, your interrupt priority assignments, and the timing behavior of your specific hardware under real operating conditions.This is the only book that teaches AI-assisted firmware development with the verification discipline the domain actually requires.Written for embedded engineers, not web developers with a microcontroller - it covers the full professional workflow: generating HAL and LL driver code, writing FreeRTOS tasks and synchronization primitives, prompting AI tools for interrupt service routines, debugging hard faults and race conditions with AI assistance, optimizing for flash, RAM, power, and real-time determinism, and verifying AI-generated code against the datasheet before it reaches hardware.Inside this book: - A five-layer prompting framework for firmware - hardware identity, system state, hard constraints, decomposed request, and verification instruction - that eliminates the "plausible but wrong" failure class from AI-generated peripheral code- Driver-specific review checklists for HAL/LL code covering transfer mode selection, status return handling, clock enable completeness, DMA buffer lifetime, and timeout safety- The two-gate verification workflow: datasheet review before hardware, instrumented validation after - applied consistently across all 25 chapters- AI-assisted debugging methodology for hard faults, logic analyzer captures, race conditions, deadlocks, and priority inversion - with a structured evidence-first approach that produces falsifiable hypotheses, not confident guesses- FreeRTOS task and synchronization coverage including stack high-water-mark measurement, static versus dynamic allocation, mutex versus binary semaphore selection, and documented lock-ordering to eliminate deadlock risk- Memory-budget discipline that counteracts AI tools' systematic bias toward memory-generous patterns - const correctness, linker map monitoring, heap fragmentation risk, and static allocation strategy- Peripheral configuration pitfall maps for GPIO, UART, SPI, I2C, and ADC/DAC - the board-specific facts AI tools cannot infer and will silently default incorrectly without- A layered static verification pipeline: compiler warnings, cppcheck/clang-tidy, MISRA C, and a structured AI-augmented review checklist that catches architectural defects traditional tools cannot flag- A capstone sensor-to-cloud STM32 project using AI tooling end-to-end, with every verification gate applied- Bonus: a complete prompt library - ready-to-use five-layer templates for every major firmware task category, pre-loaded with the hardware context that makes AI output reliableWho this book is for: Embedded engineers - junior or senior - working with STM32, ARM Cortex-M, and FreeRTOS who are already using or evaluating AI coding tools and need a disciplined, production-grade workflow rather than tutorial-level examples. Also valuable for engineering leads establishing team standards for AI-assisted firmware development, and for engineers moving into safety-adjacent domains where "it compiled and ran on the bench" is not an acceptable quality bar.If you want to ship firmware faster without generating a new class of field Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Taschenbuch. Condizione: Neu. Neuware - Stop Treating AI Governance as a Legal Problem. It's an Engineering Problem.For technology leaders, the era of voluntary 'Responsible AI' is over. With the EU AI Act now in force and ISO/IEC 42001 becoming a strict procurement baseline, organizations face fines of up to 35 million for non-compliance. If your AI system's output affects users in the EU, you are in scope, regardless of where your headquarters is located.AI Compliance and Governance for Technology is the definitive, premium desk reference for CTOs, VPs of Engineering, and AI/ML leads. This isn't a dense legal theory book; it is a highly actionable engineering manual designed to turn regulatory text into auditable, production-ready systems. Keep this comprehensive paperback on your desk to bridge the gap between compliance mandates and technical execution.What You Will Master - The Global Patchwork: Navigate the exact enforcement timelines for the EU AI Act, ISO/IEC 42001, and emerging US state laws through 2027.- Auditable Architecture: Build continuous risk management, data governance, and technical traceability directly into your deployment pipelines.- Documentation by Design: Generate compliant Model Cards, System Cards, and Datasheets as automated byproducts of your ML workflow.- Human Oversight Engineering: Implement risk-calibrated Human-in-the-Loop (HITL) and Human-on-the-Loop systems that avoid operational rubber-stamping.- Vendor Risk Management: Master the specific contractual and technical controls required when utilizing third-party foundation models and LLM APIs- Secure Your Enterprise's Future: A startup with a brilliant model but no documented risk assessment will lose enterprise deals to a competitor with a clean ISO 42001 certificate. Retrofitting governance onto an already-deployed system takes months; building it into your architecture from day one takes weeks.Don't leave your product launches or compliance audits to chance. Add this essential technical manual to your professional library today and build AI systems that actually deserve the trust placed in them.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - You were not hired to be a PLC programmer. You were hired to keep the machines running.When a line goes down and production is bleeding money by the minute, nobody hands you a textbook. They hand you a laptop, point you at a screen full of ladder logic, and expect answers.Most maintenance technicians taught themselves to muddle through - clicking rungs, guessing at logic, hoping the fix holds. This book ends that. Ladder Logic for Industrial Maintenance Technicians gives you a structured, field-proven method for reading, interpreting, and troubleshooting PLC programs, without a programming background and without starting from scratch.What you'll be able to do after reading this book: - Go online with a live PLC and immediately understand what you're looking at- Trace power flow through any rung and identify exactly where logic is breaking down- Diagnose the four fault types that cause the vast majority of real-world machine failures- Troubleshoot timers, counters, and data comparison instructions - the instructions most technicians get wrong- Work confidently on Allen-Bradley ControlLogix, CompactLogix, MicroLogix, SLC 500, and Siemens S7-300/400/1200/1500 systems- Make safe, targeted program modifications and forced I/O changes without risking the machine or your job- Read legacy RSLogix 500 programs still running on equipment installed decades agoBuilt for the way maintenance technicians actually workThis book follows a three-part structure that mirrors real troubleshooting: first you learn to read what the program is doing, then you learn to diagnose what it's doing wrong, then you learn to modify it safely when a fix is required. Every chapter is written from a maintenance perspective - not a programmer's perspective.You won't find academic theory or IEC 61131-3 language standards here. You'll find the Four Diagnostic Questions framework that gives you a repeatable method for any fault on any machine. You'll find real fault scenarios pulled from real factory floors. And you'll find a complete platform reference section designed to sit open on your workbench.Covers both Allen-Bradley and Siemens - the two platforms running most of industryEvery concept is covered for both platforms in parallel. Whether your facility runs Rockwell, Siemens, or a mix of both, this book has you covered - including the legacy systems that nobody documented properly when they were installed.If you work in manufacturing, food and beverage, automotive, packaging, water treatment, or any facility with automated equipment - this book belongs on your toolbox.Scroll up and grab a copy today.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware - Every AI vendor promises 'self-healing infrastructure.' None of them tell you what actually breaks when you trust an AI agent with production.You've watched the demos. Autonomous incident response. AI that writes its own runbooks. Infrastructure that fixes itself while you sleep. And you've also watched what happens when an overconfident AI agent makes the wrong call at 3am, because vendor marketing never mentions that part.AI-Powered DevOps is the practitioner's guide the hype cycle skipped: a clear-eyed, hands-on playbook for engineers who need to actually ship AI into their DevOps and SRE workflows, not just talk about it in a planning meeting.This isn't theory. It's not another 'introduction to AI' book padded with generic explainers. It's a working system, built chapter by chapter, using real tools you already know: Claude, LangGraph, Kubernetes, and the Model Context Protocol, with full, runnable source code for every example.Inside, you'll learn how to: - Build AI agents that triage incidents and perform root-cause analysis, with a confidence-scoring model that knows when to escalate instead of guessing- Apply a 5-stage AIOps maturity model (Stage 0-4) so you know exactly how much autonomy is appropriate at each stage of your pipeline, and where full autonomy is a mistake- Design monitoring and observability systems where AI augments your SREs instead of replacing their judgment- Secure AI agents against prompt injection and tool abuse before they touch production- Govern AI-driven operations for audit, compliance, and cost (FinOps) at enterprise scale- Integrate AI into CI/CD pipelines without introducing a new class of silent failuresEvery chapter builds on the last, culminating in a full capstone project that ties the entire system together, so by the end, you're not just reading about AI-powered DevOps, you've built one.Written for: DevOps engineers, SREs, platform engineers, and engineering leaders who are done with AI hype and ready for something they can actually implement Monday morning.No filler. No vendor pitch. Just a working system, explained by someone who's actually been paged.Get the full source code and start building today.…

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Taschenbuch. Condizione: Neu. Neuware.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. Neuware - Stop fighting undefined behavior. Start shipping firmware that doesn't crash.If you've spent years writing embedded C or C++, you already know the cost of a single dangling pointer, buffer overflow, or data race: weeks of debugging with a logic analyzer, a product recall, or a 3 AM page when a device bricks itself in the field. Rust eliminates entire categories of these bugs at compile time, without sacrificing the performance or hardware control that embedded systems demand.This book is your complete, hands-on roadmap from C/C++ firmware engineer to confident embedded Rust developer.You'll go far beyond 'blink an LED.' Across 18 chapters and three full capstone projects, you'll learn to: - Master no_std Rust and bare-metal programming fundamentals: registers, memory-mapped I/O, and the embedded-hal ecosystem- Configure and drive UART, SPI, I C, ADC, PWM, and DMA on real hardware (STM32F4, nRF52840, RP2040, and ESP32-C3)- Build responsive, efficient firmware with Embassy's async/await: no RTOS, no heap, no busy-waiting- Write hard real-time systems with RTIC, including compile-time-proven deadlock freedom- Implement robust error handling, panic strategies, and on-device logging with defmt- Test embedded code without hardware using mocks, embedded-hal-mock, and model checking with Kani- Optimize for power consumption, critical for battery-powered IoT devices- Build and deploy firmware update (DFU/OTA) systems for production devicesThree complete, production-representative capstone projects, an industrial Modbus/LTE-M sensor gateway, a closed-loop motor controller, and a LoRaWAN sensor node, show you exactly how these techniques combine in real systems. Full source code is provided in a companion GitHub repository, ready to clone, flash, and modify.Whether you're a firmware engineer transitioning from C, an embedded hobbyist ready to go pro, or a systems programmer curious about Rust's growing role in IoT and real-time applications, this book gives you the practical, code-first foundation to build safer, more reliable embedded systems, starting today.Scroll up and grab your copy to start writing firmware that the borrow checker has your back on.Covers: embedded Rust, Rust microcontroller programming, no_std, RTIC, Embassy framework, STM32, nRF52840, RP2040, ESP32-C3, IoT firmware development, real-time embedded systems, Rust for embedded systems, embedded systems programming, firmware development with Rust.…

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. Neuware - ¿Qué ocurre cada vez que envías una solicitud a un modelo de IA en la nube Tus datos más sensibles pasan a un proveedor externo, aceptas costos de uso impredecibles y dependes de modelos que pueden cambiar o dejar de estar disponibles sin previo avisoLocal LLM Deployment es la guía práctica y definitiva para implementar grandes modelos de lenguaje (LLM) en tu propia infraestructura, con privacidad total, funcionamiento sin conexión y control absoluto de tus sistemas de IA. Diseñado para desarrolladores, ingenieros de IA, profesionales de DevOps, administradores de sistemas y arquitectos empresariales, este libro te muestra cómo crear soluciones de IA listas para producción sin depender de servicios en la nubeEn este libro aprenderás a: - Elegir entre los formatos GGUF, AWQ y EXL2 según tu hardware y tus necesidades de rendimiento- Calcular con precisión la VRAM necesaria para evitar errores de memoria y optimizar el uso de la GPU- Implementar Ollama, LM Studio, LocalAI y vLLM para ejecutar modelos locales de forma eficiente- Construir un pipeline RAG completamente local con ChromaDB, Qdrant y modelos de embeddings sin conexión- Realizar fine-tuning de modelos mediante QLoRA, LoRA, Axolotl y LLaMA-Factory- Diseñar sistemas multiagente con enrutamiento inteligente, llamadas a funciones y flujos de trabajo avanzados- Proteger entornos privados y despliegues empresariales mediante buenas prácticas de seguridad- Supervisar, escalar y optimizar el rendimiento con Prometheus, Grafana y balanceo de carga entre múltiples GPUEste no es un libro sobre ingeniería de prompts ni una introducción básica a los chatbots. Es un manual técnico orientado a la implementación real de infraestructuras de IA locales, pensado para quienes desean comprender, controlar y mantener sus propios modelos de lenguajeAdemás, incluye recursos prácticos como: - Una calculadora de VRAM- Una guía para diagnosticar y solucionar errores frecuentes de entrenamiento- Un glosario de los conceptos esenciales de la IA modernaSi deseas ejecutar LLM de forma privada, reducir costos, proteger tus datos y construir una infraestructura de IA totalmente bajo tu control, este libro te proporcionará los conocimientos y las herramientas necesarias para lograrloEmpieza hoy mismo a desplegar tus propios modelos de IA con confianza.…

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

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

Paperback. Condizione: new. Paperback. Your legacy system works, but that's exactly the problem.It works well enough that nobody wants to touch it. Well enough that new features get bolted on around the edges because changing the core feels like defusing a bomb. Well enough that "we should really rewrite this someday" has been said in every quarterly planning meeting for three years, and everyone in the room knows it will never happen, because the last team that tried didn't survive it.This book is not a rewrite. It's the alternative.Modernizing Legacy Applications with Go is a complete, pattern-by-pattern guide to incrementally replacing a production system, in Go, while it continues serving real users, so that at no point are you betting the business on a single high-stakes cutover, and at no point does the new system need to be finished before it starts delivering value.The Strangler Fig approach, built from the ground up in GoWhat's insideThe routing layer - build a reverse proxy in Go's standard library that sits in front of your legacy system, currently forwarding everything unchanged, ready to redirect specific traffic to new Go services as they come onlineTraffic shadowing - send copies of real production requests to your Go implementation, compare responses against the legacy system, and catch behavioral mismatches before a single real user is affectedPercentage-based canary rollout - move from 1% to 5% to 50% to 100% of live traffic with a config file change, no redeployment, with automatic fallback to legacy if the Go service goes down mid-rolloutSession bridging for Java, PHP, and .NET - validate legacy session cookies and JWTs from Go services without modifying the authentication system that issues themChange Data Capture pipelines in Go - detect legacy database changes via polling or Debezium CDC, propagate them idempotently to Go services' own data stores, and monitor sync lag before it becomes a data correctness incidentTwo complete case studies - extract a capability from a Java monolith end-to-end in Chapter 11, then tackle the PHP session handling and .NET SOAP interop issues that make those source stacks different in Chapter 12Resilience patterns - timeouts, retries with exponential backoff, circuit breakers, graceful degradation, and bulkheading, plus a testing approach that actually exercises failure paths before an incident forces you toDecommissioning done right - a checklist for removing legacy code safely, including the side-effect check that catches the dependency nobody documented and the column that three other systems silently depend onWho this book is forYou're a backend developer, architect, or tech lead who has been handed a legacy system and asked to modernize it, or who has been modernizing one for months and keeps hitting the same categories of problem. You know Go's fundamentals. What you need is the specific set of patterns that arise when Go is introduced into an existing system written in another language, rather than used to build something from scratch.If your legacy system is Java, PHP, or .NET, this book addresses your stack directly. If it's something else, the patterns still apply, what changes is session handling specifics and ORM quirks, not the overall approach.What makes this differentMost migration guidance lives at the whiteboard level, bounded contexts, seam identification, the Strangler Fig metaphor itself. This book starts where those conversations end. Every pattern has working Go code. Every decision point has a framework for making it.Scroll up and Grab a Copy Today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. You were not hired to be a PLC programmer. You were hired to keep the machines running.When a line goes down and production is bleeding money by the minute, nobody hands you a textbook. They hand you a laptop, point you at a screen full of ladder logic, and expect answers.Most maintenance technicians taught themselves to muddle through - clicking rungs, guessing at logic, hoping the fix holds. This book ends that. Ladder Logic for Industrial Maintenance Technicians gives you a structured, field-proven method for reading, interpreting, and troubleshooting PLC programs, without a programming background and without starting from scratch.What you'll be able to do after reading this book: Go online with a live PLC and immediately understand what you're looking atTrace power flow through any rung and identify exactly where logic is breaking downDiagnose the four fault types that cause the vast majority of real-world machine failuresTroubleshoot timers, counters, and data comparison instructions - the instructions most technicians get wrongWork confidently on Allen-Bradley ControlLogix, CompactLogix, MicroLogix, SLC 500, and Siemens S7-300/400/1200/1500 systemsMake safe, targeted program modifications and forced I/O changes without risking the machine or your jobRead legacy RSLogix 500 programs still running on equipment installed decades agoBuilt for the way maintenance technicians actually workThis book follows a three-part structure that mirrors real troubleshooting: first you learn to read what the program is doing, then you learn to diagnose what it's doing wrong, then you learn to modify it safely when a fix is required. Every chapter is written from a maintenance perspective - not a programmer's perspective.You won't find academic theory or IEC 61131-3 language standards here. You'll find the Four Diagnostic Questions framework that gives you a repeatable method for any fault on any machine. You'll find real fault scenarios pulled from real factory floors. And you'll find a complete platform reference section designed to sit open on your workbench.Covers both Allen-Bradley and Siemens - the two platforms running most of industryEvery concept is covered for both platforms in parallel. Whether your facility runs Rockwell, Siemens, or a mix of both, this book has you covered - including the legacy systems that nobody documented properly when they were installed.If you work in manufacturing, food and beverage, automotive, packaging, water treatment, or any facility with automated equipment - this book belongs on your toolbox.Scroll up and grab a copy today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. You've hit the ceiling. You know it.The app is slow. The bundle is enormous. You've squeezed every useMemo and added every loading spinner. You've read the docs, followed the tutorials, and still the performance dashboard looks the same. The problem isn't your code. It's the architecture.Client-side React was never designed to scale the way you're asking it to. Data fetching in useEffect, waterfall requests, components that drag entire third-party libraries into the browser just to render a string, these aren't bugs. They're the logical conclusion of building on the wrong mental model.React 19 doesn't patch the problem. It replaces the assumption behind it.React 19 at Scale is the complete architectural guide for mid-to-senior React developers who are ready to build server-first applications, deliberately, correctly, and without breaking what's already in production.This is not a tutorial. It does not explain what a component is. It assumes you've shipped React applications, hit their limits, and want to understand exactly how to move past them using React Server Components, the React 19 Compiler, Server Actions, and the Next.js 15 App Router.What you'll build a deep understanding of: The RSC rendering pipeline: How the server rendering pass works, what the RSC payload actually contains, how streaming and out-of-order Suspense boundaries transform perceived load timeComponent boundary design: where to draw the server/client line, how to keep client bundles minimal, and how the Island Architecture pattern eliminates JavaScript that was never neededServer Actions: replacing hand-rolled API routes for form handling, mutation orchestration, and the complete pattern for useActionState, useFormStatus, and useOptimisticCaching that actually works at scale: tag-based and path-based invalidation, webhook-driven on-demand revalidation, multi-region cache consistency, and how to prevent cache poisoning from leaking user dataSecurity in a server-first world: how the attack surface changes when the server lives inside your component tree, SSRF prevention, input validation at the boundary, and HMAC webhook verification in productionMigration without disruption: a phased strategy for moving a React 18 codebase to RSC incrementally, with deployment architecture patterns for Vercel, self-hosted Node, and edge runtimesState at the right layer: when to use Zustand, when to use TanStack Query, when URL state is the correct answer, and how to avoid the context anti-patterns that poison RSC applicationsEvery pattern in the book runs on the same stack: Next.js 15, React 19, TypeScript, and Tailwind CSS. Every example is runnable. The companion repository contains a working Next.js project for each chapter, ready to clone and explore.This book is for you if: You've built React applications with hooks. You've used Next.js, even if you haven't fully committed to the App Router. You're comfortable in TypeScript. And you've felt the ceiling, the moment where adding more client-side complexity stops helping and starts hurting.If you've been watching React Server Components from the sidelines, waiting for the right moment to commit, this is the resource that will get you there, not by following a tutorial, but by understanding the architecture deeply enough to make your own decisions.Stop shipping data-fetching logic to browsers that never needed it.Start building the way React 19 was designed to be used. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New. Print on Demand.

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