You're reading from IoT Edge Computing with MicroK8s A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms

Product type Paperback

Published in Sep 2022

Publisher Packt

ISBN-13 9781803230634

Length 416 pages

Edition 1st Edition

Tools

Kubernetes

Concepts

Containerization

Author (1):

Karthikeyan Shanmugam

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Table of Contents (24) Chapters

Preface

1. Part 1: Foundations of Kubernetes and MicroK8s

2. Chapter 1: Getting Started with Kubernetes FREE CHAPTER

3. Chapter 2: Introducing MicroK8s

4. Part 2: Kubernetes as the Preferred Platform for IoT and Edge Computing

5. Chapter 3: Essentials of IoT and Edge Computing

6. Chapter 4: Handling the Kubernetes Platform for IoT and Edge Computing

7. Part 3: Running Applications on MicroK8s

8. Chapter 5: Creating and Implementing Updates on a Multi-Node Raspberry Pi Kubernetes Clusters

9. Chapter 6: Configuring Connectivity for Containers

10. Chapter 7: Setting Up MetalLB and Ingress for Load Balancing

11. Chapter 8: Monitoring the Health of Infrastructure and Applications

12. Chapter 9: Using Kubeflow to Run AI/MLOps Workloads

13. Chapter 10: Going Serverless with Knative and OpenFaaS Frameworks

14. Part 4: Deploying and Managing Applications on MicroK8s

15. Chapter 11: Managing Storage Replication with OpenEBS

16. Chapter 12: Implementing Service Mesh for Cross-Cutting Concerns

17. Chapter 13: Resisting Component Failure Using HA Clusters

18. Chapter 14: Hardware Virtualization for Securing Containers

19. Chapter 15: Implementing Strict Confinement for Isolated Containers

20. Chapter 16: Diving into the Future

21. Frequently Asked Questions About MicroK8s

22. Index

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23. Other Books You May Enjoy

Part 3: Running Applications on MicroK8s

This part focuses on the implementation aspects that are common for any IoT/edge computing applications, such as running your applications on a multi-node Raspberry Pi cluster, installing/configuring different CNI plugins for network connectivity, configuring load balancing, configuring logging, monitoring, alerting options, building, and deploying machine learning models, and serverless applications.

This part of the book comprises the following chapters:

Chapter 5, Creating and Implementing Updates on Multi-Node Raspberry Pi Kubernetes Clusters
Chapter 6, Configuring Connectivity for Containers
Chapter 7, Setting Up MetalLB and Ingress for Load Balancing
Chapter 8, Monitoring the Health of Infrastructure and Applications
Chapter 9, Using Kubeflow to Run AI/MLOps Workloads
Chapter 10, Going Serverless with Knative and OpenFaaS Frameworks

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You're reading from IoT Edge Computing with MicroK8s A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms

Table of Contents (24) Chapters

Part 3: Running Applications on MicroK8s

Authors (1)

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You're reading from IoT Edge Computing with MicroK8s A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms

Table of Contents (24) Chapters

Part 3: Running Applications on MicroK8s

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Authors (1)

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