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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
LinkedIn
Sergio Méndez is a systems engineer and professor of operating systems at San Carlos of Guatemala university. His work at the university is related to teaching and researching cloud native technologies with his students. He has experience working on DevOps, and MLOps using open source technologies at work. About open source communities, he is involved in the CNCF Community, promoting students into the CNCF Ecosystem and hosting a Cloud Native meetup in Guatemala. He has been a speaker at several conferences such as KubeCon, WTFisCloudNative, and Kubernetes Community Days. He is also a Linkerd Ambassador.
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Toc

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

Summary

This chapter covered the firsts steps toward creating and customizing your Kubernetes cluster using the edge distribution of K3s. It also covered advanced configurations such as how to configure an external datastore for K3s that can help you to configure more robust and HA solutions for edge K3s clusters. At the end of the chapter, we covered some advanced configurations such as how to install different ingress controllers, the use of the Helm Chart operator, and basic troubleshooting commands for your cluster. With this knowledge, we can now jump to the next chapter to understand the advantage of K3os to install K3s quickly and easily.

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Authors (1)

Profile icon Sergio Mendez
Sergio Mendez
LinkedIn icon Github icon
Sergio Méndez is a systems engineer and professor of operating systems at San Carlos of Guatemala university. His work at the university is related to teaching and researching cloud native technologies with his students. He has experience working on DevOps, and MLOps using open source technologies at work. About open source communities, he is involved in the CNCF Community, promoting students into the CNCF Ecosystem and hosting a Cloud Native meetup in Guatemala. He has been a speaker at several conferences such as KubeCon, WTFisCloudNative, and Kubernetes Community Days. He is also a Linkerd Ambassador.
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See other products by Sergio Mendez

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