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

Network

Enterprises have the choice between private networks that are highly secure, single-tenant networks, and multi-tenant carrier networks offered by telcos. With 5G technology, we have seen a rise in private wireless networks. In choosing the type of network, solution architects must take into account the use case requirements, location, and cost. To add to the complexity, there are two types of networks – overlay and underlay.

The overlay network is a virtual network that operates on top of a physical infrastructure, the underlay. This abstraction model has opened new avenues of efficient network traffic routing. These new avenues affect both north-south and east-west traffic flows.

Reminder

North-south network traffic is the data flow to and from the cloud or data center. East-west network traffic is the data flow between deployed applications, amongst the components of applications, and to other cloud services.

Figure 2.5 shows, at a very high level, network...