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Real-World Edge Computing

You're reading from   Real-World Edge Computing Scale, secure, and succeed in the realm of edge computing with Open Horizon

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781835885840
Length 296 pages
Edition 1st Edition
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Authors (2):
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Robert High Robert High
Author Profile Icon Robert High
Robert High
Sanjeev Gupta Sanjeev Gupta
Author Profile Icon Sanjeev Gupta
Sanjeev Gupta
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Managing the Edge FREE CHAPTER
2. Chapter 1: Fundamentals of Edge Computing 3. Chapter 2: Practicalities of Edge Computing 4. Chapter 3: Designing and Building Edge Software 5. Chapter 4: Edge Container Platforms 6. Chapter 5: Application Placement and Life Cycle Management 7. Part 2: Working on the Edge
8. Chapter 6: Installing an Edge Agent on an Edge Node 9. Chapter 7: Registering an Edge Node 10. Chapter 8: Using the Open Horizon CLI and API 11. Chapter 9: Autonomous and Flexible Management of Edge Services 12. Chapter 10: Managing Edge Scale with Policy-Based Workload Placement 13. Part 3: Advancing the Edge System
14. Chapter 11: Machine Learning Workload and Model Deployment 15. Chapter 12: Security at the Edge 16. Chapter 13: Network Connectivity at the Edge 17. Part 4: Edge Management in Practice
18. Chapter 14: Building a Real-World Example Application 19. Chapter 15: Troubleshooting at the Edge 20. Chapter 16: Follow-on Topics 21. Chapter 17: Using the IBM Edge Application Manager Web UI 22. Index 23. Other Books You May Enjoy

Services, Policies, and User Input

Having understood the general outline of the inferencing pipeline, let’s delve into the details of containers, services, and policies as applicable to this example application.

Invariably, in a practical deployment of a containerized application, you are expected to provide external inputs to set up and customize the application. Open Horizon provides this flexibility using a User Input file that works with the service definition of each of the services. This is somewhat of a new concept in this book, and we will go into the details of User Input later in this section.

Services

This application has three containerized services to build the inferencing pipeline – infer, http, and mms. Each service is deployed using its own container image. We will introduce each of these three services and describe them in detail later when they are deployed and used.

infer

The infer service is the main service of the inferencing pipeline...

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