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

What to measure

There are certain network-related metrics that help NetOps teams maintain the network uptime and then there are some infrastructure elements that need to be closely observed.

Real user monitoring

In the stadium scenario, we mentioned the NetOps team would monitor how spectators were interacting with the services. That would require real-time user monitoring (RUM) data as opposed to synthetic or historical data. Getting a real-time view of what users are experiencing online is critical because the NetOps team needs to analyze events as they are happening and proactively look into slow connections or fix any misconfigurations.

Monitoring software can use RUM data to make DNS routing and other network traffic-steering decisions. There is also intelligent traffic steering, which is usually implemented using the overlay network.

Additional information

Synthetic data is different from real-world data. It is annotated data created using computer simulations...