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

Summary

If monitoring actively collects data by way of logs and metrics, observability applies intelligence to make sense of the collected data and provide actionable insights. The chapter listed the differences between the two and pointed to the fact that monitoring and observability complement each other to help solve problems in the IT world. The same is true in edge computing. The end goal should be to dynamically and continuously improve the overall efficiency of the edge computing infrastructure. If you find an area in your processes where observability is not currently implemented, consider addressing that gap at your next opportunity.

What to measure and measuring to improve were discussed in the latter part of the chapter. This highlighted the opportunity gap: enterprises should know the current state and desired state of the edge solution. Only by continuously monitoring the system can enterprises achieve the desired state, and that drives operational maturity. Lastly...