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

Data storage and management

In this section, we cover data storage considerations, viable alternatives to data retention, and data catalogs/governance/policy enforcement in edge computing. You will learn about considerations to weigh when implementing data management solutions. By the end of the section, you should be able to articulate what data management processes you will follow and what tools you plan to use to enforce the processes and policies.

Strategies for defining and enforcing data policies

Over the last several years, we’ve seen governments around the world propose and implement legislation aimed at protecting private data, beginning with the EU’s General Data Privacy Regulation (GDPR). This type of legislation has encouraged organizations to be more intentional about what data they collect, how they store, use, and share it, and for how long and where it is retained.

For organizations to comply with these privacy regulations, there are three foundational...