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Internet of Things from Scratch

Internet of Things from Scratch

By : Renaldi Gondosubroto, Gondosubroto
4.3 (9)
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Internet of Things from Scratch

Internet of Things from Scratch

4.3 (9)
By: Renaldi Gondosubroto, Gondosubroto

Overview of this book

Develop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively. Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities. By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.
Table of Contents (22 chapters)
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1
Part 1: Getting Started with the Internet of Things
6
Part 2: Developing and Optimizing IoT Systems for Smart Environments
11
Part 3: Operating, Maintaining, and Securing IoT Networks
16
Part 4: Delving into Complex Systems and the Future of IoT

Summary

In this chapter, we explored the best practices for operating and monitoring IoT networks. We discussed the importance of continuous operation, setting KPIs and metrics for success, and monitoring capabilities both on-premises and in the cloud using AWS IoT services. We also looked at several practical exercises that can be used to gain hands-on experience in operating and monitoring IoT networks. These included simulating IoT networks using virtualization, developing AWS Lambda functions to process and analyze IoT data, creating AWS CloudWatch dashboards for IoT metrics, setting up AWS IoT Greengrass groups for edge computing, and using the AWS IoT simulator to test different operating and monitoring strategies.

By learning and applying these best practices and practical exercises, students can develop the skills and knowledge necessary to design, deploy, and manage robust and reliable IoT networks. They will gain experience in using AWS IoT services and tools to monitor...

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