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

The IoT cloud

Before we go into the details of the IoT cloud, let's first understand the difference between a data center and the cloud.

Data center and the cloud

Traditionally, organizations hosted their IT workloads and systems either in data centers that were on-premises (in-house) or off-premises (off-house) and supported by internal infrastructure teams or third parties or in external data centers supported and maintained by external third parties altogether.

Running and maintaining a data center is not an easy task; if you run a data center on your own, then you will need to deal with things such as finding suitable buildings or data center facilities to host your servers and network infrastructure, power supply and consumption, physical security, and governmental regulations.

From a business point of view, running and maintaining a data center is a business domain in itself. So, the question will be, as a company working in the agriculture, transportation,...