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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

Geolocalization Applications Using GPS, NoSQL, and K3s Clusters

One of the growing use cases for edge computing is the implementation of a system for tracking cargos and logistics. Sometimes, this tracking involves monitoring and getting metrics that can be used to optimize packages’ delivery times, reduce gas consumption, and so on. One of the important technologies that you can use for this is the Global Positioning System (GPS). GPS can help you to obtain the coordinates of an object when it is moving in real time. This, together with Kubernetes at the edge, results in a powerful combination of technologies to create geolocalization systems, also called geo-tracking systems.

In this chapter, we’re going to cover the following main topics:

  • Understanding how GPS is used in a geo-tracking system
  • Using Redis to store GPS coordinates data
  • Using MongoDB to store your devices’ tracking data
  • Creating services to monitor your devices in real time...
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