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-native best practices as an outgrowth of cloud native

Cloud-native development best practices were initially formed from the convergence of adoption of the agile development process, learning how to effectively utilize shared infrastructure, and service-oriented architecture (as well as software eating the world). However, not all best practices from the cloud apply to the edge. Specifically, partially and completely disconnected operations, heterogeneous hardware and software environments, and the potential mobility of edge devices forced edge pioneers to take a hard look at what was learned, discard the lessons that no longer applied, and adopt new lessons, culminating in edge-native development best practices.

In Chapter 1, we discussed the edge-native programming model, in the Cloud out versus edge in section. In this section, we’ll dive into three areas where those fundamental assumptions affect how we architect solutions. We’ll discuss how an inversion-of...