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

Configuring MetalLB to load balance across the cluster

Now that we are clear on MetalLB concepts, we will dive into the steps of configuring MetalLB to load balance across the cluster. The following diagram depicts our Raspberry Pi cluster setup:

Figure 7.3 – MicroK8s Raspberry Pi cluster

Now that we know what we want to do, let's look at the requirements.

Requirements

Before you begin, here are the prerequisites that are needed for building a Raspberry Pi Kubernetes cluster and for the configuration of a MetalLB load balancer:

A microSD card (4 gigabytes (GB) minimum; 8 GB recommended)
A computer with a microSD card drive
A Raspberry Pi 2, 3, or 4 (one or more)
A micro-USB power cable (USB-C for the Pi 4)
A Wi-Fi network or an Ethernet cable with an internet connection
(Optional) A monitor with a High-Definition Multimedia Interface (HDMI) interface
(Optional) An HDMI cable for the Pi 2 and 3 and a micro-HDMI...

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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

Configuring MetalLB to load balance across the cluster

Requirements

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

Configuring MetalLB to load balance across the cluster

Requirements

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Authors (1)

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