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

Data analytics solution building blocks

Let's go step by step here to understand the different solution building blocks required to build a data analytics solution.

Data sources

I know this book is about IoT, and we mentioned earlier that IoT is one of the greatest data sources for any business organization, but based on the analytics questions you have to hand, you might need some other data sources to do a proper analysis and answer those business data analytics questions.

For example, you might want data from an external data source such as weather data or an IoT device's metadata, as the data coming from IoT devices is usually raw and small due to bandwidth and power limitations; hence, you can enrich raw data in the cloud by using another IoT device data repository, such as IoT device metadata or IoT device registry data.

To conclude, you might require more data sources besides data coming from IoT devices, so identifying those data sources should be the...