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

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...