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IoT Edge Computing with MicroK8s

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

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803230634
Length 416 pages
Edition 1st Edition
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Author (1):
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Karthikeyan Shanmugam Karthikeyan Shanmugam
Author Profile Icon Karthikeyan Shanmugam
Karthikeyan Shanmugam
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Toc

Table of Contents (24) Chapters Close

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 23. Other Books You May Enjoy

Preface

The idea for this book was born when one of my customers wanted to implement a minimal container orchestration engine for their apps on their resource-constrained edge device. Deploying the entirety of Kubernetes was not the solution, but then I encountered the realm of minimal Kubernetes distributions, and after much experimentation with several providers, I chose MicroK8s to successfully build various edge computing use cases and scenarios for them.

Canonical’s MicroK8s Kubernetes distribution is small, lightweight, and fully conformant. It’s a minimalistic distribution with a focus on performance and simplicity. MicroK8s can be easily deployed in IoT and edge devices due to its small footprint. By the end of this book, you will know how to effectively implement the following use cases and scenarios for edge computing using MicroK8s:

  • Getting your Kubernetes cluster up and running
  • Enabling core Kubernetes add-ons such as Domain Name System (DNS) and dashboards
  • Creating, scaling, and performing rolling updates on multi-node Kubernetes clusters
  • Working with various container networking options, such as Calico, Flannel, and Cilium
  • Setting up MetalLB and Ingress options for load balancing
  • Using OpenEBS storage replication for stateful application
  • Configuring Kubeflow and running AI/ML use cases
  • Configuring service mesh integration with Istio and Linkerd
  • Running serverless applications using Knative and OpenFaaS
  • Configuring logging and monitoring options (Prometheus, Grafana, Elastic, Fluentd, and Kibana)
  • Configuring a multi-node, highly available Kubernetes cluster
  • Configuring Kata for secured containers
  • Configuring strict confinement for running in isolation

According to Canonical’s 2022 Kubernetes and cloud native operations report (https://juju.is/cloud-native-kubernetes-usage-report-2022), 48 percent of respondents indicated the biggest barriers to migrating to or using Kubernetes and containers are a lack of in-house capabilities and limited staff.

As indicated in the report, there is a skills deficit as well as a knowledge gap, which I believe this book will solve by covering crucial areas that are required to bring you up to speed in no time.

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