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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

Using managed services from cloud providers

It is important to choose the right cloud provider. Several cloud providers are available, but the top three are Amazon Web Services (AWS), Google Cloud, and Azure. Let’s look at the different managed services that you can use with these cloud providers:

  • AWS: You can use virtual machines with EC2 and Graviton 2 ARM instances to test software that you will run at the edge. Fargate is a service that you can use to deploy applications in containers. It provides several options. For instance, you can scale the service automatically, something similar to what Kubernetes does. Elastic Kubernetes Service (EKS) is the managed service of AWS for Kubernetes. It’s a very strong solution for EKS, but compared to other services, you have to do more manual steps for certain tasks, such as scaling the solution. Talking about databases, you can use Aurora as a MySQL or Postgres instance. You can use other managed services based on Redis...
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