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

Declarative versus imperative configuration

In this section, you will learn about approaches to, and tools for, configuring your edge-connected networks that will increase deployment velocity while removing barriers and bottlenecks. We will give an example from the emerging field of application-centric, or application-directed, networking. By the end, you will be able to explain the benefits of this paradigm and consider when to use it for your distributed edge application architectures.

Comparing the two approaches

Cloud Foundry and other platforms introduced, and Kubernetes popularized, the idea of marrying declarative configurations describing the desired outcome state to the concept of eventual consistency, thus bringing a system gradually into alignment from the current state toward the eventual goals. The declarative paradigm is a way of stating (with configuration files or a higher-order language) the outcome that you would like to achieve without needing to specify how...