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Edge Computing Patterns for Solution Architects
Edge Computing Patterns for Solution Architects

Edge Computing Patterns for Solution Architects: Learn methods and principles of resilient distributed application architectures from hybrid cloud to far edge

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Profile Icon Ashok Iyengar Profile Icon Joseph Pearson
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$39.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (8 Ratings)
Paperback Jan 2024 214 pages 1st Edition
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Arrow left icon
Profile Icon Ashok Iyengar Profile Icon Joseph Pearson
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$39.99
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (8 Ratings)
Paperback Jan 2024 214 pages 1st Edition
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$9.99 $31.99
Paperback
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Edge Computing Patterns for Solution Architects

Our View of Edge Computing

One of the first challenges when discussing edge computing between IT professionals is establishing a shared vernacular. In the authors’ experience, professionals in this space differ in how they describe the goals, methods, available tools, and deployment targets/operating environments. We’ve also found that, due to experiences and even generational distinctions, some fundamental assumptions may be at play. By agreeing on a definition of terms at the outset, we avoid misunderstandings and talking past each other.

In this chapter, we will start by describing various edge computing scenarios from an infrastructure point of view, moving from cloud to far edge based on our experiences, research, and available de facto standards. Along the way, we compare and contrast different points of view that will affect architectural choices you can make, such as edge computing versus distributed computing and the network edge versus the enterprise edge...

Suggested pre-reading material

Speaking like an edge native

In this section, you will learn to articulate fundamental differences between the edge and the cloud. This impacts the available infrastructure, platforms, services, and application deployments. Additionally, you will be able to explain concisely what the edge is and what the field of edge computing does to both line-of-business (LOB) executives and other non-IT professionals. This includes being able to explain the value it can provide, as well as why this field is emerging at this point in time.

What is the edge?

The edge in edge computing is commonly used to describe the location where computing takes place. The name itself is meant to evoke a spot in a corner or by the wayside, and not in a central area, and actually refers to the very end of a communications network (the edge of the internet; see Figure 1.1). Thus, edge computing happens outside a cloud computing facility, and many times outside the four walls of a traditional data center (DC...

Which edge? Categorizing edges

In this section, we cover the names and characteristics of various edge categories (or edges) that are commonly used, including which terms have been deprecated or have fallen out of the vernacular. By the end, you should be able to list the edges and describe the benefits and drawbacks of each, as shown in exhaustive detail next (Figure 1.3):

Figure 1.3 – Detailed benefits and drawbacks of each edge

Figure 1.3 – Detailed benefits and drawbacks of each edge

Image Source: Linux Foundation Whitepaper

The user edge – field-deployed compute

A fundamental confusion that commonly comes up in conversations revolves around where people think the edge is. One idea in people’s minds is that “the edge” may be in houses, commercial offices, factories, vehicles, and utility shacks on the side of the road or at the base of a cell tower. These types of locations are typically thought of as the far edge because they are farthest away from a DC or cloud on...

Your computer or mine? Tactics for service deployment

In this section, we review different scenarios where more than one application or service can be deployed and running concurrently. We will give an example of each and discuss the purpose of that approach. By the end, you should recognize when each tactic is required.

Edge computing doesn’t require dedicated resources

In Sharpening the Edge, the author refers to edge computing as primarily using your own systems, while cloud computing involves sharing systems and infrastructure with others. This simplification is largely correct at the macro scale, although edge computing can also involve sharing: by running multiple applications on a single device at the same time for multiple users, or sequentially at regularly scheduled intervals (day versus night, weekdays versus weekends, business open versus business closed). In the case of CSP-hosted edge infrastructure, it could even include hosting applications from multiple...

Cloud-out versus edge-in

Another common way of describing an architecture is based on its foundation and assumptions, and in what direction and manner it grows as its scope and responsibilities increase. If it starts out based in the cloud, using cloud-native best practices, and then later adds on capabilities that allow it to run in some fashion on the edge, that approach is described as cloud-out. On the other hand, if it starts out on the edge using edge-native development best practices, and then bursts to (hybrid) cloud infrastructure, that would be termed edge-in. Let’s look at each in turn, go over an example, and discuss their relative strengths and weaknesses.

Looking deeper at cloud-out architectures

Cloud-out architectures begin with the cloud; that is, with global compute infrastructure using cloud-native development best practices. While Chapter 11 will discuss these practices in depth, let’s list an abbreviated version to frame the discussion:

    ...

Introducing archetype patterns

In this section, we introduce you to the concept of archetypes. Along the way, we cover the days involved in the software life cycle and discuss deployment methods. By the end, you will be ready to learn about and use archetype patterns.

What is an archetype?

An archetype is the original model or form of something that embodies all primary qualities of that item, whether that item is an abstract concept or a physical object. In the case of architectural patterns, our assertion is that most application architectures can be derived from an original pattern archetype (source) or a slight variation based on local or business considerations. Therefore, in this book, we attempt to tease out archetypes and discuss them at length based on our belief that identifying and mastering them will give you the foundational skills needed to tackle most, if not all, edge application scenarios. By following these patterns judiciously, you will be able to create solutions...

Summary

In this chapter, you learned about what capabilities the edge and the cloud have in common, and what distinguishes one from the other when it comes to the tiers of compute: infrastructure, platforms, services, and applications.

We covered the names and characteristics of edge categories and described the benefits and drawbacks of each. We also discussed various ways that edge nodes can be shared between tasks. We described how an architecture can be scaled based on its scope and responsibilities with cloud-out and edge-in paradigms. Also, we introduced you to the concept of archetypes and the “days” involved in the software development life cycle.

Now, you should be ready to learn about the basic components and building blocks that go into archetype patterns. Just as importantly, we’ll also discuss how to approach solutions from the right perspective in order to build a future-proof application, follow best practices, and use long-term thinking.

...
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Key benefits

  • Unlock scalable edge solutions by mastering proven archetypes for real-world success
  • Learn industry-specific patterns, tailoring solutions for diverse sector needs
  • Make strategic decisions between cloud-out and edge-in strategies with confidence
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

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.

Who is this book for?

Ideal for VPs of IT infrastructure, enterprise architects, solution architects, and SRE professionals with a background in cloud computing, this book is for individuals involved in crafting edge reference architectures and tailored solutions across diverse industries. It provides valuable insights and practical patterns drawn from real-world implementations in sectors such as retail, telecommunications, and manufacturing. Foundational knowledge of cloud computing is assumed to align with the advanced nature of the content covered.

What you will learn

  • Distinguish edge concepts, recognizing that definitions vary among different audiences
  • Explore industry-specific architecture patterns that shape custom solutions
  • Analyze three proven edge computing archetypes for real-world scalability
  • Apply best practices judiciously, adapting patterns to meet specific requirements
  • Evaluate data for storage or discarding based on compliance and industry norms
  • Advance from the foundational basics to complex end-to-end edge configurations
  • Gain practical insights for achieving low-latency, high-bandwidth edge solutions
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Length: 214 pages
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Table of Contents

16 Chapters
Part 1:Overview of Edge Computing as a Problem Space Chevron down icon Chevron up icon
Chapter 1: Our View of Edge Computing Chevron down icon Chevron up icon
Chapter 2: Edge Architectural Components Chevron down icon Chevron up icon
Part 2: Solution Architecture Archetypes in Context Chevron down icon Chevron up icon
Chapter 3: Core Edge Architecture Chevron down icon Chevron up icon
Chapter 4: Network Edge Architecture Chevron down icon Chevron up icon
Chapter 5: End-to-End Edge Architecture Chevron down icon Chevron up icon
Part 3: Related Considerations and Concluding Thoughts Chevron down icon Chevron up icon
Chapter 6: Data Has Weight and Inertia Chevron down icon Chevron up icon
Chapter 7: Automate to Achieve Scale Chevron down icon Chevron up icon
Chapter 8: Monitoring and Observability Chevron down icon Chevron up icon
Chapter 9: Connect Judiciously but Thoughtlessly Chevron down icon Chevron up icon
Chapter 10: Open Source Software Can Benefit You Chevron down icon Chevron up icon
Chapter 11: Recommendations and Best Practices Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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Amazon Customer Mar 31, 2024
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The authors provided a comprehensive guide to understanding the concept of Edge computing and its role in current service architecture. As the Edge computing concept spans from micro-devices and sensors to infrastructure deployed on-prem with limited resources in mind to connectivity with Hyper-scalers infra, the book goes in deep the provide the clarity on each concept.The authors are extremely knowledgeable and have a strong background in solution architecture (To be honest, I have worked with Ashok for some time) and this filled the gap in the industry between the concept and the real solution architectural view. The book goes into detail providing architectural views and covering different silos where the Edge computing definition deviates (like Telco, where the telcos world is defining the Edge ecosystem by itself). This book explains solutions architecture clearly and thoroughly, for all the practitioners impacted by Edge Computing evolution (Developers, networking, etc). It covers different areas of solutions architecture and gives you a variety of tools to solve problems in this field.This book is your guide to building a winning strategy for combining cloud computing with edge computing. It covers everything you need to know, from business goals to picking the right cloud options. Whether you're a pro or just starting out in cloud computing, this book will help you handle the complexities of edge computing.
Amazon Verified review Amazon
Victor Lu Mar 06, 2024
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“Edge Computing Patterns for Solution Architects” stands out as a distinctive resource providing an all-encompassing definition of Edge computing. In the realm of Edge computing, where documented best practices are scarce, this book fills a crucial gap by offering comprehensive recommendations. Given the swift evolution of the Edge computing technology landscape, the book's well-defined overview positions it as a valuable reference enduring over time, irrespective of the introduction of new technologies in the field.
Amazon Verified review Amazon
Christine Mar 15, 2024
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Whether you're a student encountering edge compute concepts for the first time or a business leader who needs to quickly catch up on the topic, this book will be your trusted guide. It's the clearest and most concise of any book I've seen on the topic. The authors take great care to educate their readers in a welcoming and friendly way, without skimping on good technical heft. A delightful read and helpful resource.
Amazon Verified review Amazon
Business Traveler Jul 13, 2024
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Edge computing is explained in detail in this book as a way to enhance and improve efficiency in organizations. The book draws on real-world deployment experience and offers practical tips for successful deployments
Amazon Verified review Amazon
sankar ramamoorthi Mar 20, 2024
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This book is a timely addition to the world of enterprise network.Enterprise networks are becoming more diverse and distributed across hybrid and multi clouds. End-to-end automation and orchestration becomes important with considerations to zero trust, improved security functions, performance, scalability, network availability, service availability and cost considerations, This book gives a good overview of these broadest of topics in addition to useful tips on architecting and developing solutions for these type of environments.The book has a clear and consistent flow in describing various concepts and design considerations that are easy to comprehend. The book also provides Enterprises a good understanding of what to look for from vendors when evaluating automated solutions for enterprise network orchestration.The section of open source software development is a real plus and a topic not usually covered.Providing access to various images used in the book is a welcome addition.Each chapter of the book also contains useful references which provide additional information.On the topic of zero-trust, SASE recommend adding reference to standards specifications from Metro Ethernet Forum (MEF Forum). Authors could also consider keeping a reference to an active set of useful links that are constantly updated.
Amazon Verified review Amazon
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