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

The standard cloud deployment models are well-known – public cloud, private cloud, and hybrid cloud. We would be remiss to not mention the new distributed deployment model, which is described in Chapter 5. The cloud deployment model choice depends on the industry for which the edge solution is designed. As an example, the banking industry has stringent requirements on where data can be stored and even how it is stored. With such requirements in mind, the only option then is to use a private cloud.

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Requirement

Factors affecting decision

C001

Cloud deployment model

A private, public, or hybrid cloud model decision must be made based on bandwidth, latency, and cost. Always consider the optimal use between a physical data center, an on-premises cloud, a public cloud, or an acceptable combination.

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