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Edge Computing Patterns for Solution Architects

Edge Computing Patterns for Solution Architects

By : Ashok Iyengar, Joseph Pearson
5 (8)
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Edge Computing Patterns for Solution Architects

Edge Computing Patterns for Solution Architects

5 (8)
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)
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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

Summary

In this chapter, we covered the states of data at rest, data in motion, and data in processing. You have learned about how, when, and why to encrypt data, including the ability to perform operations on the data without decrypting it using fully homomorphic encryption. You were introduced to the idea of data trustworthiness using a data confidence fabric, which can be implemented on the least powerful machines on the user edge where data is born.

You learned about data storage and management approaches, including data governance, policies, and enforcement, as well as ways to simplify management and lower costs with synthetic data. You were also introduced to a way of thinking about data retention on the edge that will lead to simplified decisions.

We also covered how to optimize machine learning models for the edge. This could include using foundation models to simplify and speed up training. And we touched on model federation. We discussed the benefit of general-purpose...

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