Book Image

Internet of Things from Scratch

By : Renaldi Gondosubroto
Book Image

Internet of Things from Scratch

By: Renaldi 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)
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

Analysis on the cloud and outside

When working with data, it often is necessary to visualize data to gain insights and make informed decisions. With services such as Amazon QuickSight, you are able to do this and create interactive dashboards and reports. However, some organizations' requirements may necessitate the use of third-party services alongside AWS’ native tools.

Many third-party services can be used. In this section, we will discuss some of these third-party services, alongside how we can start architecting workloads within the cloud for data workflows and quickly ensure that they adhere to best practices, both when creating and evaluating them.

Third-party data services

In this section, we will talk about two different third-party data analytics and visualization services: Datadog and Prometheus.

Datadog

Datadog is a cloud-based monitoring and analytics platform that provides many features for monitoring and troubleshooting many aspects of an organization...