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 Architectural Components

Edge computing architectures, although relatively new, have their origins in IoT architectures. There are a lot more devices in play now, some with compute and storage. These devices are key to edge computing architectures. The different sizes, form factors, the compute, and storage capacity of these edge devices make for many variations in solution architectures.

These solution architectures are unique because there are limitations at each layer, from device to compute to storage. Architects designing them often must think about the limitations, especially when it comes to the far-edge aspect. One must keep in mind the intrinsic benefits of edge computing such as low latency, high performance, less power consumption, high bandwidth, and multiple dispersed locations. Edge computing has given rise to a new paradigm of application architecture specifically designed to run in the distributed edge domain, which we call edge-native applications.

This...