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

Edge application monitoring

By design, we have focused on infrastructure monitoring because, in our opinion, infrastructure plays a major role in IoT/edge solutions. That doesn’t minimize the importance of applications and AI models running on edge devices. While these models and applications seem to have fewer variations, they nevertheless should be monitored.

Similar to NPM, there is application performance monitoring (APM): a process for monitoring the performance of applications. APM is meant to help IT professionals ensure that the deployed applications are performing reliably as designed. In edge computing, real-time APM is critical because it helps you identify issues before they have a major impact on the designed solution. The common metrics that APM tracks are CPU usage, memory usage, disk usage, response times, application uptime, and error rate.

Given that edge computing applications are typically cloud-native and container-based, there are other metrics that...