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Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. Using more than one cloud provider is easy to describe. Engineering those environments to behave as one dependable system is much harder.Engineering Multi-Cloud Systems Across AWS, Azure, and Google Cloud provides a practical framework for designing, deploying, securing, automating, and operating applications across the three major cloud platforms.Rather than treating AWS, Microsoft Azure, and Google Cloud as interchangeable collections of services, this book focuses on the infrastructure problems they solve and the architectural decisions that determine whether a multi cloud environment remains reliable, secure, manageable, and cost effective.You will begin by understanding what multi cloud architecture actually means, why organizations adopt it, and when the additional complexity is justified. You will compare distributed workload designs, primary and recovery cloud models, active passive architectures, active active systems, and service specific strategies while learning why complete provider independence is rarely a useful goal.From there, you will learn how to: - Structure AWS accounts, Azure subscriptions, and Google Cloud projects- Establish secure administrative environments across providers- Apply least privilege to users and workloads- Work with IAM roles, managed identities, service accounts, and temporary credentials- Protect application secrets without embedding permanent credentials- Design non overlapping network address spaces- Plan routing, DNS, firewalls, private connectivity, and cross cloud communication- Compare virtual machines, managed compute, and serverless options- Deploy the same application across several providers- Run portable containerized workloads on EKS, AKS, and GKE- Design storage and database strategies for distributed applications- Address backup, recovery, and data portability- Provision infrastructure consistently with Terraform- Organize reusable infrastructure modules and manage state safely- Build automated application and infrastructure delivery pipelines- Monitor availability, errors, latency, logs, and operational health across providers- Apply encryption, network controls, security posture management, and audit logging- Design for provider, region, and component failures- Define recovery objectives and implement disaster recovery strategies- Manage global traffic and failover- Control cloud spending through budgets, tagging, ownership, and resource cleanup- Establish landing zones, policy controls, operational standards, and governanceThroughout the book, one reference application is used to connect the concepts. You will deploy it to virtual machines, package it as a container, run it across managed Kubernetes platforms, provision supporting infrastructure with Terraform, automate its delivery, add monitoring and security controls, and eventually test cross cloud recovery.The book also examines one of the most important realities of multi cloud engineering: portability has limits. A container may move cleanly between environments while networking, identity, storage, load balancing, observability, and billing remain provider specific. Instead of hiding those differences, you will learn how to standardize where standardization provides real operational value. This book is designed for developers, cloud engineers, infrastructure professionals, DevOps practitioners, and technical architects who want to understand how cloud systems behave across provider boundaries rather than memorize three separate service catalogs.Do not simply run workloads in three clouds. Engineer a system that knows why each cloud is there, how failure is handled, and how the whole environment remai Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Paperback. Condizione: new. Paperback. Find Small Drone Faults Before They Become Expensive-or DangerousA drone can appear perfectly healthy while a cracked propeller, loose connector, ageing battery, damaged antenna, incorrect setting, or overheating component is already reducing its reliability.Drone Maintenance and Troubleshooting for Beginners provides a clear, safety-focused system for inspecting, testing, diagnosing, repairing, and documenting multirotor aircraft. It covers consumer camera drones, FPV quadcopters, PX4- and ArduPilot-based aircraft, and custom-built models assembled from separate components.Rather than encouraging random part replacement or unnecessary recalibration, this practical guide teaches you to identify the exact symptom, inspect the aircraft without power, isolate the affected subsystem, test one variable at a time, confirm the cause, and verify the repair before returning the aircraft to normal use.Inside this hands-on guide, you will learn how to: Prepare a safe diagnostic workbench and choose essential toolsFollow the propellers-off rule during powered bench testingUnderstand the mechanical, propulsion, power, navigation, communication, and software systemsCreate effective pre-flight, post-flight, and periodic inspection routinesFind frame cracks, loose fasteners, damaged propellers, structural distortion, and excessive vibrationIsolate brushless propulsion faults from electronic speed-controller failuresTest wiring, connectors, solder joints, power modules, regulators, and current sensorsEvaluate lithium packs, voltage sag, cell imbalance, damaged leads, and unsafe battery conditionsDiagnose flight-controller startup failures and unexpected rebootsInvestigate gyroscope, accelerometer, barometer, compass, and positioning errorsCorrect poor satellite reception, heading disagreement, toilet-bowl movement, and return-to-home issuesTroubleshoot receivers, telemetry links, antennas, video systems, cameras, gimbals, and payload devicesBack up and recover PX4, ArduPilot, and Betaflight configurationsDiagnose arming failures, takeoff flips, uncontrolled yaw, drift, oscillation, and poor hover stabilityRespond to power loss, motor desynchronisation, unexpected landings, mode changes, and flyaway-like behaviourPreserve and analyse onboard logs, telemetry records, warnings, and controller dataReconstruct an incident timeline without jumping to unsupported conclusionsInspect an aircraft after a crash, impact, water exposure, dust, sand, salt, or excessive heatDecide when a component can be repaired and when replacement or professional service is saferBuild battery records, fault reports, repair histories, firmware records, and component-replacement logsPractical exercises guide you through diagnosing a non-starting propulsion unit, evaluating a flight pack, investigating poor position hold, conducting a controlled hover test, analysing a sample incident, and backing up a complete aircraft configuration.The final project helps you create a complete maintenance-management plan covering inspection intervals, grounding rules, approved parts, post-repair verification, digital records, and return-to-service decisions.The appendices include ready-to-use checklists, periodic schedules, symptom tables, battery-health records, repair forms, flight-test records, and references to official platform documentation.Whether you own your first camera drone, maintain FPV aircraft, operate inspection equipment, or build custom multirotors, this guide will help you replace guesswork with an organised diagnostic process.Inspect before changing settings. Measure before buying parts. Correct only th Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. Build a Camera Drone That Can See, Follow, and React-Without Giving Vision Software Unrestricted ControlA drone camera produces images, not understanding.For an aircraft to react to what it sees, software must capture each frame, detect or track the intended target, evaluate confidence and timing, check whether movement is permitted, consider nearby obstacles, send a limited command, and confirm that the aircraft remains inside its safety boundaries.Edge AI for Aerial Robotics provides a practical guide to using Python to develop camera-based drone behaviours, including object detection, consent-based human tracking, visual target following, distance sensing, and reactive obstacle avoidance.Instead of allowing an experimental vision program to control motors directly, the book uses a layered aerial-robotics architecture. PX4 remains responsible for stabilisation, state estimation, flight modes, limits, and flight-critical safety. A Linux companion computer runs the camera pipeline, machine-learning models, tracking, behavioural logic, and application logging. Python communicates with the aircraft through MAVSDK while QGroundControl provides independent operator supervision.Inside this project-based guide, you will learn how to: Understand edge inference and why visual processing is placed near the aircraftCompare local processing with cloud-based analysisMeasure camera, inference, communication, and aircraft-response latencyReject old frames and predictions before they create unsafe movementSeparate perception, decision-making, control, and safety supervisionUnderstand the responsibilities of the flight controller and companion computerSelect a programmable flight platform for a vision projectCompare simulator-only, Raspberry Pi, and NVIDIA Jetson configurationsChoose between RGB, wide-angle, global-shutter, stereo, depth, and low-light camerasEvaluate ultrasonic, infrared, time-of-flight, depth-camera, and LiDAR sensorsAccount for payload weight, electrical power, heat, cooling, vibration, and mountingVerify software, camera-driver, model-runtime, and autopilot compatibility before purchasing hardwareCreate a maintainable Python robotics workspaceManage dependencies with an isolated virtual environmentOrganise camera, detection, tracking, control, telemetry, safety, configuration, and logging modulesStore operating limits in validated YAML or JSON filesUse asynchronous programming without blocking telemetry and watchdog processesThe book also establishes responsible limits. Face tracking is treated as temporary, consent-based following rather than face identification. The vision model cannot arm the aircraft, remove operating limits, replace failsafes, or override the operator. The system must stop, hold, land, or surrender control when tracking, sensor, communication, or boundary conditions become unsafe.Supporting resources include environment and connection commands, simulator and edge-device configuration templates, detection and control settings, safety and preflight checklists, troubleshooting matrices, emergency procedures, and a hardware-selection guide covering CPU-only systems, Raspberry Pi, Jetson, RGB cameras, global-shutter cameras, depth cameras, and LiDAR.Whether you are a Python developer, robotics student, drone enthusiast, computer-vision learner, maker, or engineer exploring onboard machine learning, this book provides an organised path from recorded footage to a supervised perception-driven aircraft system.Measure every delay. Reject uncertain observations. Limit every command. Let obstacle safety override following. Keep the pilot and autopilot in authority.</p Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Taschenbuch. Condizione: Neu. Neuware - Find smart home problems faster-and fix them with clear Python-powered troubleshooting steps. A smart home is only useful when the devices respond, automations run, sensors report correctly, and Home Assistant stays reliable. But when something breaks, beginners often do not know where to start. Is the problem a device A sensor A network issue A failed automation A bad entity name A missing integration Or a simple error hiding in the logs Python Troubleshooting for Smart Homes gives beginners a practical way to diagnose Home Assistant problems, smart device errors, failed automations, and sensor issues faster using Python, simple scripts, logs, checks, and repeatable troubleshooting habits. This book is written for Home Assistant users, DIY smart home builders, Raspberry Pi hobbyists, Python beginners, and anyone who wants a more systematic way to understand what went wrong in their smart home setup. Inside, you'll learn how to use Python to inspect data, check device states, organize error reports, review sensor readings, test automation logic, monitor common failures, and make troubleshooting less stressful. You do not need to be an expert programmer. The focus is on practical, beginner-friendly techniques that help you find problems step by step. You'll learn how to: - Understand common smart home failure points- Use Python to organize and inspect troubleshooting information- Find broken devices, missing entities, and incorrect sensor data- Review failed automations and identify likely causes- Work with Home Assistant logs, states, events, and integrations- Build simple checks for device availability and sensor behavior- Troubleshoot Wi-Fi, Zigbee, MQTT, and Home Assistant issues more clearly>This is not a complex software engineering textbook. It is a practical field guide for smart home users who want better visibility, faster fixes, and fewer frustrating guessing games. If you want to understand your Home Assistant problems instead of randomly changing settings and hoping something works, this book will help you troubleshoot with more confidence. …

Taschenbuch. Condizione: Neu. Neuware - Turn your smart home into an energy-saving system that helps you track power use, reduce waste, and lower everyday costs. Many homes waste electricity without anyone noticing. Lights stay on too long. Devices draw power in the background. Heating, cooling, plugs, appliances, and daily routines quietly increase monthly bills. Home Assistant Energy Saving Guide gives beginners a practical way to understand where energy is going-and how to make smarter decisions with automation. This book shows you how to use Home Assistant to monitor power use, track energy patterns, create useful dashboards, and automate your home for better efficiency. It is written for homeowners, renters, DIY smart home users, and beginners who want practical results without becoming electrical engineers or advanced programmers. Inside, you will learn how to connect energy monitoring devices, understand power data, build simple dashboards, and create automations that reduce unnecessary consumption. From smart plugs and sensors to schedules, alerts, routines, and energy-saving scenes, this guide helps you turn scattered smart devices into a more efficient home system. You'll learn how to: - Understand energy monitoring in simple terms- Track electricity use with Home Assistant dashboards- Use smart plugs, sensors, meters, and device data more effectively- Find waste from standby devices, lighting, heating, cooling, and appliances- Create alerts for unusual energy use- Build schedules and automations that reduce unnecessary power consumption- Automate lights, plugs, climate, and routines for better efficiency>This is not a technical textbook filled with confusing formulas. It is a beginner-friendly guide to using Home Assistant as a practical energy-saving tool. If you want to reduce waste, understand your power use, and build a smarter home that works more efficiently every day, this book will show you how to start step by step. …

Taschenbuch. Condizione: Neu. Neuware - Build your first Raspberry Pi smart home with confidence-one clear step at a time.Smart home technology can feel confusing when every device has its own app, account, cloud service, and setup process. Raspberry Pi Smart Home for Beginners gives you a practical, beginner-friendly path to building a private, flexible, and reliable smart home using Raspberry Pi, Home Assistant, sensors, lights, and simple automations. This book is written for DIY learners, homeowners, renters, hobbyists, and complete beginners who want to understand how the parts of a smart home fit together without getting lost in technical jargon. Inside, you will learn how to choose the right Raspberry Pi setup, install Home Assistant, connect devices, organize your dashboard, add sensors and lights, and create useful automations for everyday life. The focus is on simple progress: start small, build carefully, test your setup, and expand only when you are ready. You'll learn how to: - Understand how Raspberry Pi works as a smart home hub- Set up Home Assistant step by step- Connect sensors, lights, plugs, switches, and other smart devices- Create beginner-friendly automations for daily routines- Build dashboards that make your system easy to control- Use local control to reduce unnecessary cloud dependence- Avoid common mistakes with power, storage, Wi-Fi, Zigbee, backups, and updates>This is not a book for experts who want complicated projects from page one. It is a clear starting guide for beginners who want real results without confusion. If you want to turn a Raspberry Pi into the heart of a practical smart home, this book will guide you from first setup to working automations-step by step.…

Taschenbuch. Condizione: Neu. Neuware - Build a reliable smart home network with Zigbee, MQTT, and Home Assistant-without getting lost in technical confusion. Smart home devices are only useful when they stay connected, respond quickly, and work when you need them. But many beginners struggle with devices dropping offline, slow automations, weak signal, confusing hubs, unreliable Wi-Fi gadgets, and too many apps that do not work well together. Zigbee and MQTT for Home Assistant gives you a practical, beginner-friendly guide to building a more reliable open-source smart home using Zigbee devices, MQTT messaging, and Home Assistant. This book explains the important ideas in plain English: what Zigbee does, why mesh networks matter, how MQTT helps devices communicate, how Home Assistant brings everything together, and how to avoid the common setup mistakes that cause frustration later. You do not need to be a programmer or networking expert to begin. Inside, you'll learn how to choose the right Zigbee coordinator, pair sensors and switches, improve device range, understand routers and end devices, use MQTT with Home Assistant, organize device names, create dependable automations, and troubleshoot common problems when devices stop responding. You'll learn how to: - Understand Zigbee, MQTT, and Home Assistant in simple terms- Build a stronger Zigbee mesh network for sensors, switches, lights, and plugs- Choose better device locations to improve reliability- Set up MQTT for smart home communication- Use Home Assistant to organize and control open-source smart devices- Avoid common pairing, signal, naming, and automation mistakes- Troubleshoot offline devices, slow responses, and failed automations>This is not a complicated engineering manual. It is a clear, practical guide for beginners who want smart home devices that feel stable, private, and easier to manage. If you want to make your Home Assistant setup more reliable with Zigbee and MQTT, this book will help you build the right foundation step by step.…

Taschenbuch. Condizione: Neu. Neuware - Make your lights smarter, simpler, and more useful with Home Assistant. Smart lighting is one of the best ways to begin building a practical smart home. With the right setup, your lights can respond to motion, follow daily schedules, change with scenes, improve comfort, save energy, and make your home easier to live in. But for beginners, Home Assistant can feel confusing at first-especially when you are trying to understand devices, entities, scenes, automations, sensors, triggers, conditions, and schedules all at once. Smart Lighting with Home Assistant gives you a clear, beginner-friendly path to building smart lighting routines that actually work in everyday life. This book is written for homeowners, renters, DIY smart home users, and Home Assistant beginners who want useful lighting automation without unnecessary complexity. You do not need to be a programmer to begin. Each chapter explains the important ideas in plain English and shows how lighting, motion sensors, scenes, schedules, and automations fit together. Inside, you'll learn how to plan your lighting setup, connect smart bulbs and switches, organize rooms and areas, create scenes, build motion-based lighting, automate schedules, and troubleshoot common problems. The goal is not to create flashy effects for their own sake. The goal is to build reliable lighting that supports real routines: mornings, evenings, bedtime, security, energy saving, guest comfort, and daily household use. You'll learn how to: - Understand smart lighting in Home Assistant- Choose between smart bulbs, smart switches, plugs, dimmers, and sensors- Create lighting scenes for rooms, moods, routines, and activities- Use motion sensors for hands-free lighting- Build schedules for mornings, evenings, outdoor lights, and bedtime routines- Create automations with triggers, conditions, and actions- Avoid common mistakes with Wi-Fi, Zigbee, groups, delays, and device states>This is not a complicated technical manual. It is a practical beginner's guide for building smart lighting that feels natural, reliable, and useful. If you want your Home Assistant lighting setup to work smoothly-from simple scenes to motion-based automations-this book will help you build it step by step. …