Book Image

Edge Computing Patterns for Solution Architects

By : Ashok Iyengar, Joseph Pearson
Book Image

Edge Computing Patterns for Solution Architects

By: Ashok Iyengar, Joseph Pearson

Overview of this book

Enriched with insights from a hyperscaler’s perspective, Edge Computing Patterns for Solution Architects will prepare you for seamless collaboration with communication service providers (CSPs) and device manufacturers and help you in making the pivotal choice between cloud-out and edge-in approaches. This book presents industry-specific use cases that shape tailored edge solutions, addressing non-functional requirements to unlock the potential of standard edge components. As you progress, you’ll navigate the archetypes of edge solution architecture from the basics to network edge and end-to-end configurations. You’ll also discover the weight of data and the power of automation for scale and immerse yourself in the edge mantra of low latency and high bandwidth, absorbing invaluable do's and don'ts from real-world experiences. Recommended practices, honed through practical insights, have also been added to guide you in mastering the dynamic realm of edge computing. By the end of this book, you'll have built a comprehensive understanding of edge concepts and terminology and be ready to traverse the evolving edge computing landscape.
Table of Contents (17 chapters)
Free Chapter
1
Part 1:Overview of Edge Computing as a Problem Space
4
Part 2: Solution Architecture Archetypes in Context
8
Part 3: Related Considerations and Concluding Thoughts

What is legacy IoT architecture?

In this section, we will cover legacy IoT architectures: their purpose, promise, and fundamental drawbacks. You will learn why IoT has provided value to business executives, where it was heading as a natural technological progression before being superseded by edge computing, and reasons why it may not have been adopted as widely as initially anticipated.

A bit of history

Large commercial IoT networks became a viable solution for business with the convergence of cheap, low-power embedded processors and inexpensive, ubiquitous cellular data transmission. At that point, it became less expensive to transmit data from sensors than to have humans visit the sensors and record the data manually. However, the data was still tabulated and stored in central locations – a data center (DC) or, eventually, the cloud.

That approach and those needs formed the basis for initial IoT architectures, which connected devices over transmission networks directly...