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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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

--runtime-path parameter 335

A

access control lists (ACLs) 117

add-ons

enabling 34-36

listing 36, 37

Address Resolution Protocol (ARP) 145

Admiralty Multi-Cluster Scheduler 73

Advanced RISC Machine (ARM) 107

AI and HPC Containers

reference link 367

alerting

about 171

reference link 195

alerting stack

configuring, with EFK toolset 187, 188

Alertmanager

used, for configuring alerting stack 173-175

used, for configuring monitoring stack 173-175

Alibaba Cloud Elastic Container Instance (ECI) 73

AI/ML workloads, on Kubernetes

running, best practices 230-233

Amazon Web Services (AWS) 108, 144

application deployment

scaling 104-107

application level

issues, troubleshooting 47-49

application programming interface (API...

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