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

Product type Paperback

Published in Oct 2022

Publisher Packt

ISBN-13 9781800568594

Length 458 pages

Edition 1st Edition

Tools

K3s

Concepts

Cloud Native

Author (1):

Sergio Mendez

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Table of Contents (21) Chapters

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

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Summary

This chapter covered common advanced configurations for Kubernetes edge clusters using Ubuntu and K3s. One of these common configurations was to install a bare-metal load balancer using MetalLB. We also discussed the pros and cons of this as compared to the default K3s load balancer, KlipperLB, followed by the use cases of when to use each one. Then, we jumped to the advanced storage configurations of Longhorn, which is a really lightweight storage solution, and easy to install and configure for ReadWriteMany access modes for storage. Finally, we saw how to upgrade our cluster, and perform backups and restorations when using different data storage such as SQL or etcd. With all this knowledge, you are ready to create a production-ready cluster. In the next chapter, we are going to learn how to use k3OS to create your clusters using the K3s ISO image and overlay installation.

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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

Table of Contents (21) Chapters

Summary

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Table of Contents (21) Chapters

Summary

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