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

Creating a MicroK8s multi-node cluster using 
a Raspberry Pi

Before we delve into the steps on how to create a MicroK8s multi-node cluster, let's recap the key concepts of Kubernetes that we covered earlier, as follows:

  1. A Kubernetes cluster (like the one shown in Figure 5.1) would have the following two types of resources:

a. A control plane that controls the cluster

b. Nodes—the worker Nodes that run applications

  1. All actions in the cluster are coordinated by the control plane, including scheduling applications, maintaining the intended state of applications, scaling applications, and rolling out new updates, among other things. Each node can be a virtual machine (VM) or a physical computer that serves as a worker machine in a cluster.
  2. A Kubernetes control plane is a collection of three processes: an application programming interface (API) server, a controller manager, and a scheduler.
  3. Each individual non-control plane node on the...