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IoT Edge Computing with MicroK8s

IoT Edge Computing with MicroK8s

By : Karthikeyan Shanmugam
4 (1)
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IoT Edge Computing with MicroK8s

IoT Edge Computing with MicroK8s

4 (1)
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)
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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 Ubuntu Core on a Raspberry Pi board

Now that we are clear on the snap confinement concepts, we will delve into the steps of creating a Kubernetes Raspberry Pi cluster that uses snap strict confinement.

What we are trying to achieve

We’ll list down the steps that we’re seeking to work through in this section as follows:

  1. Setting up an Ubuntu Core image to SD card
  2. Creating an Ubuntu SSO account
  3. Generating an SSH key pair
  4. Booting Ubuntu Core on Raspberry Pi

The Raspberry Pi cluster that we will build in this step is depicted in Figure 15.1 as follows:

Figure 15.1 – The Raspberry Pi cluster that uses snap strict confinement

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

Requirements

The following are the prerequisites for building the Ubuntu Core Raspberry Pi Kubernetes cluster:

  • A microSD card (4 GB minimum; 8 GB recommended)
  • A computer with a microSD...
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IoT Edge Computing with MicroK8s
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