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Designing Production-Grade and Large-Scale IoT Solutions

Designing Production-Grade and Large-Scale IoT Solutions

By : Mohamed Abdelaziz Alwan
5 (20)
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Designing Production-Grade and Large-Scale IoT Solutions

Designing Production-Grade and Large-Scale IoT Solutions

5 (20)
By: Mohamed Abdelaziz Alwan

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)
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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

In this chapter, you learned about IoT data analytics, and the true and ultimate business benefits of IoT technologies, which is getting data from the physical world to gain more insights and act upon that data. You also learned about traditional data analytics versus modern or advanced data analytics, and the different types of data analytics (descriptive, diagnostic, predictive, and prescriptive).

You also learned about the different building blocks of IoT data analytics solutions such as Lambda architecture, data lakes, batch and streaming data processing, query engines, different analytics data stores, visualization, data exploration tools, and technologies used in data analytics solutions.

You learned about the fully managed AWS IoT Analytics service, and how it works and integrates with other related AWS services such as AWS IoT Events and AWS IoT SiteWise.

In the next chapter, we will cover some of the architecture and design paradigms and concepts used in building...

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