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

Measuring to improve

Performance optimization, threat detection and mitigation, and ensuring reliable operation of any system, including edge solutions, is the ultimate goal of monitoring and observability. All the collection of metrics and logging and setting up alerts will not amount to much if the gathered information is not used to do root cause analysis (RCA) and fix what is wrong or improve a system’s performance. In that context, dashboards play an important role in the observability domain.

Dashboards should help with visualizing curated data, providing context, and offering a holistic view over time rather than at just a point in time. By displaying graphs and trend lines along with the actual metrics, dashboards help humans see the history of the data and the impact of an alarm when it occurred, and, most importantly, they add context and reason. Note that alarms should only be set for things that are important and they should be actionable.

Network observability...