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Edge Computing Systems with Kubernetes

You're reading from   Edge Computing Systems with Kubernetes A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781800568594
Length 458 pages
Edition 1st Edition
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Author (1):
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Sergio Mendez Sergio Mendez
Author Profile Icon Sergio Mendez
Sergio Mendez
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Edge Computing Basics
2. Chapter 1: Edge Computing with Kubernetes FREE CHAPTER 3. Chapter 2: K3s Installation and Configuration 4. Chapter 3: K3s Advanced Configurations and Management 5. Chapter 4: k3OS Installation and Configurations 6. Chapter 5: K3s Homelab for Edge Computing Experiments 7. Part 2: Cloud Native Applications at the Edge
8. Chapter 6: Exposing Your Applications Using Ingress Controllers and Certificates 9. Chapter 7: GitOps with Flux for Edge Applications 10. Chapter 8: Observability and Traffic Splitting Using Linkerd 11. Chapter 9: Edge Serverless and Event-Driven Architectures with Knative and Cloud Events 12. Chapter 10: SQL and NoSQL Databases at the Edge 13. Part 3: Edge Computing Use Cases in Practice
14. Chapter 11: Monitoring the Edge with Prometheus and Grafana 15. Chapter 12: Communicating with Edge Devices across Long Distances Using LoRa 16. Chapter 13: Geolocalization Applications Using GPS, NoSQL, and K3s Clusters 17. Chapter 14: Computer Vision with Python and K3s Clusters 18. Chapter 15: Designing Your Own Edge Computing System 19. Index 20. Other Books You May Enjoy

Exploring additional edge computing use cases

To finalize this book, here are some use cases that you can explore and implement using edge computing technologies:

  • Healthcare: In this system, data could be processed or analyzed locally. Sometimes, this information could be processed using artificial intelligence. This system can integrate local sensors and process information at the edge.
  • Industry 4.0: This is related to the use of edge computing and IoT for manufacturing processes, where you can process information at the edge with ARM devices to reduce latency when interconnecting systems and data processing.
  • Autonomous vehicles: This industry is constantly growing with the emerging market of electric cars. This use case employs cameras, augmented reality, and computer vision with the goal of cars driving autonomously.
  • Gaming: This use case focuses on sharing the processing between the cloud and high-end user devices such as consoles to reduce the lag of video...
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