Book Image

Designing Production-Grade and Large-Scale IoT Solutions

By : Mohamed Abdelaziz
Book Image

Designing Production-Grade and Large-Scale IoT Solutions

By: Mohamed Abdelaziz

Overview of this book

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.
Table of Contents (15 chapters)
1
Section 1: Anatomy of IoT
5
Section 2: The IoT Backend (aka the IoT Cloud)
10
Section 3: IoT Application Architecture Paradigms and IoT Operational Excellence

Summary using one IoT reference architecture

The best way to summarize what we have explained in this book's chapters is to go through one E2E IoT solution architecture and highlight where you can find more information about each component or layer of that E2E architecture in the chapters.

As stated throughout the book, the concepts we discussed are generic, so if you are using the Microsoft Azure Cloud and its IoT platform, Google Cloud and its IoT platform, or the AWS Cloud and its IoT platform, you will find lots of similarities (that is, the IoT Edge cloud, the IoT Core cloud, managed services, and solutions from the cloud that are used in building different software components and solutions (data analytics, ML, AI, apps, and so on) on their proposed and recommended IoT reference architecture).

For example, here is one Azure IoT reference architecture:

Figure 10.1 – Microsoft Azure IoT reference architecture

And here is the Google Cloud...