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

Configuring Ingress to expose Services outside the cluster

As we discussed in the Overview of MetalLB and Ingress section, Ingress offers HTTP and HTTPS routes to Services within the cluster from outside the cluster. Rules defined on Ingress control traffic routing. NGINX Ingress Controller is a common Kubernetes Ingress and the default Ingress controller for MicroK8s as well.

Another option is employing a load balancer such as MetalLB that can be deployed in the same Kubernetes cluster, and the Services can then be exposed to an external network.

A diagrammatic illustration of both approaches is shown here:

Figure 7.20 – Ingress load-balancing functionality

Both options are discussed in more depth in the following sections.

Option 1 – Using the Ingress NodePort method

For this option and the next, we'll use the same MicroK8s Raspberry Pi cluster that we built for the MetalLB setup.

Step 1 – Enabling the Ingress add...