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Internet of Things from Scratch

You're reading from  Internet of Things from Scratch

Product type Book
Published in Feb 2024
Publisher Packt
ISBN-13 9781837638543
Pages 438 pages
Edition 1st Edition
Languages
Author (1):
Renaldi Gondosubroto Renaldi Gondosubroto
Profile icon Renaldi Gondosubroto

Table of Contents (22) Chapters

Preface 1. Part 1: Getting Started with the Internet of Things
2. Chapter 1: An Introduction to IoT Architecture, Hardware, and Real-Life Applications 3. Chapter 2: Understanding and Designing IoT Networks 4. Chapter 3: Integrating Application Protocols 5. Chapter 4: Examining Communication and Connectivity Technologies 6. Part 2: Developing and Optimizing IoT Systems for Smart Environments
7. Chapter 5: Realizing Wireless Sensor Networks within Smart Spaces 8. Chapter 6: Creating Applications on the Edge 9. Chapter 7: Working with Cloud Computing to Power IoT Solutions 10. Chapter 8: Designing for Interoperability 11. Part 3: Operating, Maintaining, and Securing IoT Networks
12. Chapter 9: Operating and Monitoring IoT Networks 13. Chapter 10: Working with Data and Analytics 14. Chapter 11: Examining Security and Privacy in IoT 15. Chapter 12: Exploring and Innovating with Open Source IoT 16. Part 4: Delving into Complex Systems and the Future of IoT
17. Chapter 13: Developing IoT Solutions for Digital Transformation within Industry 4.0 18. Chapter 14: Architecting Complex, Holistic IoT Environments 19. Chapter 15: Looking Ahead into the Future of IoT 20. Index 21. Other Books You May Enjoy

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...

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