Eleanor Sloane (588 results)

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Paperback. Condition: 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. Condition: 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. Condition: 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.…

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Taschenbuch. Condition: Neu. Neuware - Build Real Smart Home Devices-One Project at a TimeTurn your ideas into practical smart home solutions with ESPHome, one of the most popular open-source platforms for creating Wi-Fi-enabled sensors and automation devices.ESPHome Sensor Projects for Beginners: Build Practical Devices for Safety, Comfort, Energy Tracking, and Home Monitoring is a hands-on guide designed for makers, DIY enthusiasts, homeowners, and beginners who want to create reliable sensor-based projects without unnecessary complexity.Inside this practical guide, you'll learn how to: - Build temperature, humidity, and environmental monitoring devices- Create motion, door, and occupancy sensors for home security- Monitor energy usage and electrical consumption with smart sensors- Design automation projects that improve comfort and convenience- Connect ESPHome devices with Home Assistant for seamless control- Configure Wi-Fi-enabled sensors for reliable performance- Expand your smart home with scalable, low-cost DIY projectsWhether you're creating your first ESPHome device or adding intelligent sensors throughout your home, this book provides clear explanations, practical examples, and real-world projects you can build with confidence.Discover how easy it is to create a smarter, safer, and more energy-efficient home using ESPHome. …

Taschenbuch. Condition: Neu. Neuware - Turn raw smart-plug readings into clear answers about where your electricity goes-and how to waste less of it. Smart plugs can collect valuable information about appliance power use, but the numbers alone do not always tell you what is happening. Which devices consume the most electricity What stays on longer than expected How much energy is being wasted overnight And which changes could actually reduce your monthly bill Python Home Energy Monitoring gives beginners a practical, step-by-step introduction to collecting, cleaning, analyzing, and visualizing household energy data with Python. Written for Python learners, Home Assistant users, Raspberry Pi hobbyists, smart home builders, and energy-conscious households, this guide focuses on useful projects rather than complicated theory. You will learn how to work with smart-plug readings, organize time-stamped data, calculate consumption, identify waste, create charts, and produce reports that support better household decisions. Inside, you'll learn how to: \* Understand watts, kilowatt-hours, timestamps, and energy readings\* Import smart-plug data from CSV files and other common sources\* Clean missing, duplicated, and incorrect sensor records\* Calculate daily, weekly, monthly, and device-level consumption\* Compare appliance usage and identify expensive patterns\* Detect standby loads and unnecessary overnight power use\* Create charts, summaries, alerts, and automated energy reports\* Use Python findings to improve schedules and smart home routines>You do not need advanced programming, statistics, or electrical engineering knowledge to begin. Each project introduces the necessary Python concepts in clear language and connects them to realistic household examples. This is not just a book about collecting more data. It is about turning the data you already have into practical actions. If you want to understand your electricity use, reduce avoidable waste, and build useful Python projects around real smart home data, this beginner-friendly guide will help you get started.…

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: 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. …