Book Image

IoT Edge Computing with MicroK8s

By : Karthikeyan Shanmugam
Book Image

IoT Edge Computing with MicroK8s

By: Karthikeyan Shanmugam

Overview of this book

Are you facing challenges with developing, deploying, monitoring, clustering, storing, securing, and managing Kubernetes in production environments as you're not familiar with infrastructure technologies? MicroK8s - a zero-ops, lightweight, and CNCF-compliant Kubernetes with a small footprint is the apt solution for you. This book gets you up and running with production-grade, highly available (HA) Kubernetes clusters on MicroK8s using best practices and examples based on IoT and edge computing. Beginning with an introduction to Kubernetes, MicroK8s, and IoT and edge computing architectures, this book shows you how to install, deploy sample apps, and enable add-ons (like DNS and dashboard) on the MicroK8s platform. You’ll work with multi-node Kubernetes clusters on Raspberry Pi and networking plugins (such as Calico and Cilium) and implement service mesh, load balancing with MetalLB and Ingress, and AI/ML workloads on MicroK8s. You’ll also understand how to secure containers, monitor infrastructure and apps with Prometheus, Grafana, and the ELK stack, manage storage replication with OpenEBS, resist component failure using a HA cluster, and more, as well as take a sneak peek into future trends. By the end of this book, you’ll be able to use MicroK8 to build and implement scenarios for IoT and edge computing workloads in a production environment.
Table of Contents (24 chapters)
1
Part 1: Foundations of Kubernetes and MicroK8s
4
Part 2: Kubernetes as the Preferred Platform for IOT and Edge Computing
7
Part 3: Running Applications on MicroK8s
14
Part 4: Deploying and Managing Applications on MicroK8s
21
Frequently Asked Questions About MicroK8s

Setting Up MetalLB and Ingress for Load Balancing

In the last chapter, we have looked at how Kubernetes network model works and learned how to use Calico, Cilium, and Flannel CNI plugins to network the cluster. We've also gone through some of the most important factors to consider when choosing a CNI provider.

We should revisit the Kubernetes Service abstraction mechanism from the first chapter before diving into MetalLB load-balancer and Ingress concepts for load balancing. Kubernetes Services, in simple terms, connect a group of Pods to an abstracted Service name and IP address. Discovery and routing between Pods are provided by the Services. Services, for example, connect an application's frontend to its backend, which are both deployed in different cluster deployments.

The most common types of Service are listed here:

  • ClusterIP: This is the default type, which exposes the Service via the cluster's internal IP address. These Services are only accessible...