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

Cloud-out versus edge-in

Another common way of describing an architecture is based on its foundation and assumptions, and in what direction and manner it grows as its scope and responsibilities increase. If it starts out based in the cloud, using cloud-native best practices, and then later adds on capabilities that allow it to run in some fashion on the edge, that approach is described as cloud-out. On the other hand, if it starts out on the edge using edge-native development best practices, and then bursts to (hybrid) cloud infrastructure, that would be termed edge-in. Let’s look at each in turn, go over an example, and discuss their relative strengths and weaknesses.

Looking deeper at cloud-out architectures

Cloud-out architectures begin with the cloud; that is, with global compute infrastructure using cloud-native development best practices. While Chapter 11 will discuss these practices in depth, let’s list an abbreviated version to frame the discussion:

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