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

Edge and distributed cloud computing

In this chapter, detailed industrial and retail architectures have been discussed, but all the solutions depict a single location. Enterprises can duplicate these solutions in their other branches, stores, or locations. This is where we see a new trend that merges edge computing and distributed cloud computing. Chapter 2 briefly mentioned distributed cloud as one of the new cloud deployment models. We describe it and a corresponding topology in the next scenario.

Distributed cloud computing

In distributed computing, public cloud services are made available in different private physical locations, also known as satellite locations or outposts. These locations are outside the hyperscaler’s facilities and could be on-premises, in another cloud, or even in co-location centers. Distributed cloud computing is not a distributed system.

A distributed system is a collection of autonomous computers that work together to create an impression...