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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

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

View More author details

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

Why subscribe?

20. Other Books You May Enjoy

Questions

Here are a few questions to validate your new knowledge:

How are AI, ML, and computer vision related to each other to design smart traffic systems?
How do TensorFlow Lite and scikit-learn work to detect objects and perform predictions?
How does computer vision work running at the edge?
How can you distribute data across the edge and the cloud?
How can you use Python to build a computer vision system?
How can you use K3s to design distributed systems that detect objects in real time?

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Authors (1)

Sergio Mendez

Sergio Mendez

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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