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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

Summary

In this chapter, we looked at techniques for exposing Services outside the cluster and we've seen how load balancers can expose applications to the outside network. Incoming requests are routed to your application using a load balancer's single IP address. MetalLB implements the LoadBalancer Kubernetes service. When a LoadBalancer Service is requested, MetalLB assigns an IP address from a preset range to the client and informs the network that the IP resides in the cluster.

We have also seen the NGINX Ingress Controller option, which is a common Kubernetes Ingress option. MetalLB, which can be deployed in the same Kubernetes cluster along with Ingress, can also be used as a load balancer. NodePort is another way to expose the Ingress controller to the outside world. Both options were discussed in this chapter, along with different examples.

In the next chapter, we will be covering how to monitor the health of infrastructure and applications using tools such...

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