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Home> Programming> Programming Language> Real-World Edge Computing
Real-World Edge Computing
Real-World Edge Computing

Real-World Edge Computing: Scale, secure, and succeed in the realm of edge computing with Open Horizon

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Profile Icon Robert HighProfile Icon Sanjeev Gupta
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$27.99$31.99
eBookJun 2024296 pages1st Edition
eBook
$27.99 $31.99
Paperback
$39.99
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Arrow left icon
Profile Icon Robert HighProfile Icon Sanjeev Gupta
Arrow right icon
$27.99$31.99
eBookJun 2024296 pages1st Edition
eBook
$27.99 $31.99
Paperback
$39.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$27.99 $31.99
Paperback
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Real-World Edge Computing

Part 1: Managing the Edge

Building a successful production-quality Edge solution begins with an understanding of the fundamentals of the architecture and its purpose, the practical issues you must be aware of, and the best practices for how to organize and structure your project.Part 1 of this book will focus on the foundational considerations, including how to prepare the infrastructure of your Edge solution, and introduce you to the Linux Foundation LF Edge Open Horizon open source project for managing application placement and the lifecycle of yourEdge services.

This part has thefollowing chapters:

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Key benefits

  • Explore historical trends, industries, use cases, and the evolving ecosystem of edge computing
  • Build your skills to recognize common issues that can derail a successful edge project
  • Understand the symbiotic relationship between edge computing and application-centric networking
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Edge computing holds vast potential to revolutionize industries, yet its implementation poses unique challenges. Written by industry veterans Rob High and Sanjeev Gupta, this comprehensive guide bridges the gap between theory and practice. Distilling expertise from their combined decades of experience in edge computing and hybrid cloud mesh solutions, this book equips software developers and DevOps teams with the knowledge and skills needed to deploy edge solutions at scale in production environments. It also explores foundational standards and introduces key factors that may impede the scaling of edge solutions.While edge computing draws from the successes of cloud computing, crucial distinctions separate the two. High and Gupta elucidate these distinctions, helping you grasp the nuanced dynamics of edge-computing ecosystems. With a focus on leveraging Open Horizon to overcome pitfalls and optimize performance, this book will help you confidently navigate the intricacies of constructing and deploying resilient edge solutions in real-world production settings.By the end of this book, you’ll have acquired a deep understanding of essential success factors for building and deploying robust edge solutions in real-world production settings, leveraging Open Horizon for scalable edge deployments.

Who is this book for?

This book is for software engineers and DevOps teams aiming to optimize their edge solutions. Whether you're already developing edge solutions or in the planning stages, this book equips you with insights to mitigate risks and enhance viability. Catering to various experience levels, it offers valuable guidance on understanding the nuances between cloud and edge computing.

What you will learn

  • Identify prevalent challenges in edge projects
  • Use Open Horizon to address project issues
  • Optimize Open Horizon functionality effectively
  • Debug and resolve field issues with precision
  • Deploy AI/ML models on edge devices seamlessly
  • Enhance team productivity in Edge project management
  • Implement best practices for organizing all your edge projects

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date :Jun 28, 2024
Length:296 pages
Edition :1st
Language :English
ISBN-13 :9781835885857
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Publication date :Jun 28, 2024
Length:296 pages
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Language :English
ISBN-13 :9781835885857
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Table of Contents

23 Chapters
Part 1: Managing the EdgeChevron down iconChevron up icon
Part 1: Managing the Edge
Chapter 1: Fundamentals of Edge ComputingChevron down iconChevron up icon
Chapter 1: Fundamentals of Edge Computing
Technical requirements
A primer on Edge computing
Applications of Edge computing
The Edge computing ecosystem
Summary
Chapter 2: Practicalities of Edge ComputingChevron down iconChevron up icon
Chapter 2: Practicalities of Edge Computing
Technical requirements
Practical challenges with Edge computing
Organization considerations
Summary
Chapter 3: Designing and Building Edge SoftwareChevron down iconChevron up icon
Chapter 3: Designing and Building Edge Software
Technical requirements
Sample Edge computing infrastructure
Roles and responsibilities in successful production Edge deployments
The best-practice enterprise architecture for Edge-native solutions
Summary
Chapter 4: Edge Container PlatformsChevron down iconChevron up icon
Chapter 4: Edge Container Platforms
Technical requirements
Open Container Initiative (OCI)
Docker
Podman
Kubernetes
Summary
Chapter 5: Application Placement and Life Cycle ManagementChevron down iconChevron up icon
Chapter 5: Application Placement and Life Cycle Management
Technical requirements
Deploying containers to the Edge
Introduction to Open Horizon and IEAM
The architecture of the management system
The components of the Management Hub
Organizations and tenants
More about the Edge Agent
An examination of service life cycles
An overview of patterns
Policy-based management is key to deployment at scale
Summary
Part 2: Working on the EdgeChevron down iconChevron up icon
Part 2: Working on the Edge
Chapter 6: Installing an Edge Agent on an Edge NodeChevron down iconChevron up icon
Chapter 6: Installing an Edge Agent on an Edge Node
Technical requirements
What is a Management Hub?
What is an Edge Agent?
Supported architectures and operating systems
Options to install the Edge Agent
Preparing the working environment
Setting up a non-root user
Installing AIO Open Horizon Management Hub
Installing the Edge Agent on an Edge device
Summary
Chapter 7: Registering an Edge NodeChevron down iconChevron up icon
Chapter 7: Registering an Edge Node
Technical requirements
What is Edge node registration?
Verifying the pre-condition
Verifying the current Edge node condition
Registering an Edge device node
Verifying the post-condition
Summary
Chapter 8: Using the Open Horizon CLI and APIChevron down iconChevron up icon
Chapter 8: Using the Open Horizon CLI and API
Technical requirements
Using the CLI
Commonly used CLIs
APIs
Summary
Chapter 9: Autonomous and Flexible Management of Edge ServicesChevron down iconChevron up icon
Chapter 9: Autonomous and Flexible Management of Edge Services
Technical requirements
Developing an Open Horizon Service
Developing an Open Horizon Pattern
Publishing an Open Horizon Service and Pattern
Deploying a workload on an Edge device node using a pattern
Combining multiple services and deployments
Summary
Chapter 10: Managing Edge Scale with Policy-Based Workload PlacementChevron down iconChevron up icon
Chapter 10: Managing Edge Scale with Policy-Based Workload Placement
Technical requirements
Policy-based application workload placement
Developing a Service policy
Developing a Deployment policy
Developing a Node policy
Summary
Part 3: Advancing the Edge SystemChevron down iconChevron up icon
Part 3: Advancing the Edge System
Chapter 11: Machine Learning Workload and Model DeploymentChevron down iconChevron up icon
Chapter 11: Machine Learning Workload and Model Deployment
Technical requirements
Use of MMS
MMS components
Model deployment policy metadata
Deploying a Service to consume a published model
Publishing a model file to an Edge node
Verifying model file delivery
Summary
Chapter 12: Security at the EdgeChevron down iconChevron up icon
Chapter 12: Security at the Edge
Technical requirements
Security vulnerabilities at the Edge
How Open Horizon protects your Edge
Workload signing
API keys, secrets, and the Vault
Summary
Chapter 13: Network Connectivity at the EdgeChevron down iconChevron up icon
Chapter 13: Network Connectivity at the Edge
Technical requirements
The shifting enterprise networking paradigm
Connecting the Edge
Operating the connected Edge
Summary
Part 4: Edge Management in PracticeChevron down iconChevron up icon
Part 4: Edge Management in Practice
Chapter 14: Building a Real-World Example ApplicationChevron down iconChevron up icon
Chapter 14: Building a Real-World Example Application
Technical requirements
A typical Edge device node
Machine inferencing pipeline
Services, Policies, and User Input
Publishing Services and Deployment policies
Registering the Edge device node with an initial ML model
Verifying the application
Publishing an ML model using MMS
Summary
Chapter 15: Troubleshooting at the EdgeChevron down iconChevron up icon
Chapter 15: Troubleshooting at the Edge
Technical requirements
Answers to not-so-common questions
Uninstalling Open Horizon Management Hub
Edge device agent verification
Summary
Chapter 16: Follow-on TopicsChevron down iconChevron up icon
Chapter 16: Follow-on Topics
Technical requirements
Fleet management
Don’t brick your Edge
Air-gapping your Edge
Edge and mobile computing
Building and maintaining a robust connected Edge
Summary
Chapter 17: Using the IBM Edge Application Manager Web UIChevron down iconChevron up icon
Chapter 17: Using the IBM Edge Application Manager Web UI
Technical requirements
Logging into the Home screen of IEAM
Navigating the main tabs of the UI
Exploring the Edge nodes in your organization
Publishing and editing your services
Creating deployment policies to initiate a deployment of your service
Viewing and managing patterns
Summary
IndexChevron down iconChevron up icon
Index
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About the authors

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Profile icon Robert High
Robert High
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Robert High retired in 2023, after 42 years at IBM. He is currently doing independent freelancing. Prior to his retirement, Rob was an IBM fellow, Vice President, and Chief Technology Officer (CTO) for IBM's Edge Computing and Networking business. He had architecture and technical strategy responsibility for offerings that will enable a new generation of edge computing, where work is placed close to where data is produced, and actions are performed, and enterprise networking for connecting edge locations. Prior to that assignment, he was the CTO for IBM Watson, responsible for setting the technical strategy and vision for IBM's leadership in AI computing. High is recognized as a global technical leader, author, and evangelist, and was named an IBM Fellow in 2008 for his pioneering work in the field of SOA and his leadership on WebSphere.
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Profile icon Sanjeev Gupta
Sanjeev Gupta
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Sanjeev Gupta, currently edge computing lead for IBM's Software Networking division, commands a holistic view of why edge computing is needed and how a practical scalable edge solution can be put together with modern container technologies. Having spent nearly four decades in diverse industries ranging from semiconductor, networking, application business process development and automation, and his own multiple start-ups for mobile and IoT applications, he understands the cycle of the ever-evolving technological landscape. He has always been an engineer focused on turning hype into reality. Along the way, he has been encouraged by many colleagues and friends – in particular, Glen Darling, Joe Pearson, Dave Booz, and Carl Girouard, who entrusted him to make significant contributions to the Open Horizon edge computing platform and related networking products.
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