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Designing Production-Grade and Large-Scale IoT Solutions

Designing Production-Grade and Large-Scale IoT Solutions


With the rising demand for and recent enhancements in IoT, a developer with sound knowledge of IoT is the need of the hour. This book will help you design, build, and operate large-scale E2E IoT solutions to transform your business and products, increase revenue, and reduce operational costs.

Starting with an overview of how IoT technologies can help you solve your business problems, this book will be a useful guide to helping you implement end-to-end IoT solution architecture. You'll learn to select IoT devices; real-time operating systems; IoT Edge covering Edge location, software, and hardware; and the best IoT connectivity for your IoT solution. As you progress, you'll work with IoT device management, IoT data analytics, IoT platforms, and put these components to work as part of your IoT solution. You'll also be able to build IoT backend cloud from scratch by leveraging the modern app architecture paradigms and cloud-native technologies such as containers and microservices. Finally, you'll discover best practices for different operational excellence pillars, including high availability, resiliency, reliability, security, cost optimization, and high performance, which should be applied for large-scale production-grade IoT solutions.

By the end of this IoT book, you'll be confident in designing, building, and operating IoT solutions.

  • Contributors
    • About the author
    • About the reviewers
  • Preface
    • Who this book is for
    • What this book covers
    • To get the most out of this book
    • Download the color images
    • Conventions used
    • Get in touch
    • Share Your Thoughts
  • Section 1: Anatomy of IoT
  • Chapter 1: Introduction to the IoT The Big Picture
    • The purpose of any technology (including IoT technology)
      • Transforming into cloud-native applications and solutions
      • Moving to the cloud
      • Big data and advanced analytics
      • AI and ML
      • Modern applications and architectures
      • Internet of Things (IOT)
    • IoT definition the what
      • The relationship between IoT and data
    • IoT impact and benefits in different industries the why
      • Manufacturing
      • Energy and utilities
      • Transportation
      • Health care
      • Retail
      • Sports and leisure centers
      • Agriculture
      • Supply chain
      • Cities
      • Home automation smart homes
    • IoT solution reference and architecture the how
      • IoT devices layer
      • IoT edge layer
      • IoT backend and application layer (IoT Cloud)
      • IoT applications layer
      • IoT applications and visualization
      • IoT device management applications
      • IoT connectivity layer
      • Security and identity and access control
      • Infrastructure as code
      • CI/CD (Continuous Integration / Continuous Delivery) pipelines
    • IoT solution design patterns
      • Telemetry
      • Command
      • Outbound connectivity only
      • Device twin or device shadow
      • Device bootstrapping or device provisioning
    • A case study
      • Parking space issues
      • The solution to the parking issue
      • Business requirement analysis
      • Smart parking solution details
    • The books strategy
    • Summary
  • Chapter 2: The "I" in IoT IoT Connectivity
    • Connectivity concepts
      • Basic network components
      • Transmission modes
      • OSI and TCP/IP models
      • Network topologies
      • Network types
      • Radio
      • Wired networks versus wireless networks
      • Network performance metrics
    • IoT connectivity selection criteria
      • Amount of data
      • Frequency of sending data
      • Communication range (distance)
      • Communication latency (speed)
      • Device types
      • The mobility status of the IoT device
    • IoT connectivity scenarios
      • Scenario #1
      • Scenario #2
    • IoT connectivity options
      • Classic Ethernet (IEEE 802.3)
      • Ethernet TSN
      • Wi-Fi
      • Wi-Fi HaLow
      • Bluetooth classic
      • BLE
      • Zigbee
      • Z-Wave
      • NFC
      • Cellular connectivity 3G/4G/LTE/5G
      • Satellite
      • Cat-M/LTE-M
      • NB-IoT
      • EC-GSM
      • LoRa/LoRaWAN
      • Sigfox
    • Summary
  • Chapter 3: The "T" in IoT Devices and Edge
    • Microcontrollers
      • What is a microcontroller?
      • Microcontroller types
      • IoT microcontroller selection criteria
    • An RTOS
      • Embedded software
      • Operating systems (traditional versus real-time)
      • RTOS selection criteria
      • FreeRTOS
      • Amazon FreeRTOS
    • IoT edge
      • IoT edge location
      • IoT edge hardware
      • IoT edge software
    • Summary
  • Section 2: The IoT Backend (aka the IoT Cloud)
  • Chapter 4: Diving Deep into the IoT Backend (the IoT Cloud)
    • The IoT cloud
      • Data center and the cloud
      • Cloud characteristics
      • Cloud service offerings
      • Cloud deployment models
    • Kubernetes (the container orchestrator)
      • Containers
      • Kubernetes overview
      • Kubernetes architecture
      • Kubernetes deployment options
    • AWS cloud overview
    • Summary
  • Chapter 5: Exploring IoT Platforms
    • IoT platform overview
    • IoT platform (buy, build, or use?)
      • IoT platform types
      • Selection criteria for an IoT platform
    • The AWS IoT platform
      • AWS IoT Core
      • Other AWS IoT services
    • Summary
  • Chapter 6: Understanding IoT Device Management
    • An IoT device management overview
      • LwM2M
      • Device management vendors and the selection criteria
    • AWS IoT Device Management
      • Device provisioning and registration
      • JITR
      • JITP
      • Device provisioning by a trusted user
      • Device provisioning by claim
      • AWS IoT Jobs
      • AWS IoT secure tunneling
    • IoT Device Defender
    • Summary
  • Chapter 7: In the End, It Is All about Data, Isn't it?
    • An IoT data analytics overview
    • Data analytics solution building blocks
    • AWS IoT analytics
    • Other IoT analytics-related AWS services
    • Summary
  • Section 3: IoT Application Architecture Paradigms and IoT Operational Excellence
  • Chapter 8: IoT Application Architecture Paradigms
    • Cloud-native versus cloud-ready what is the difference?
    • The Twelve-Factor App methodology
    • Microservice architecture
      • Microservice communication
      • Service mesh
      • API formats
      • Microservices and databases
    • IoT application reference architecture
    • Summary
  • Chapter 9: Operational Excellence Pillars for Production-Grade IoT Solutions
    • IoT solution security
    • IoT solution monitoring
      • Monitoring system solution reference architecture
      • The ELK Stack (and Elastic Stack)
    • IoT solution high availability and resiliency
      • Geo-R deployment models
    • IoT solution automation and DevOps
    • Summary
  • Chapter 10: Wrapping Up and Final Thoughts
    • Summary using one IoT reference architecture
    • IoT and future trends
    • Why subscribe?
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