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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

SQL and NoSQL Databases at the Edge

When you have to create an edge system, a critical task is storing your data. For this, you have to take into consideration the resources that you have, the processor that your devices are using, and the type of data that you want to store. CAP theorem states that distributed data stores only provide two of the following guarantees: consistency, availability, and partition tolerance. So, this theorem can help you to decide which type of database is best according to your system needs. In this chapter, we are going to learn how to deploy different database types to run on edge systems using K3s and ARM devices. These examples include different techniques such as using ConfigMaps and Secrets to deploy your databases.

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

  • CAP theorem for SQL and NoSQL databases
  • Creating a volume to persist your data
  • Using MySQL and MariaDB SQL databases
  • Using a Redis key-value...
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