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 an HA Kubernetes cluster

We are going to configure and implement an HA MicroK8s Kubernetes cluster utilizing the stacked cluster HA topology that we discussed before. We’ll use the three nodes to install and configure MicroK8s on each of the nodes and simulate node failure to see whether the cluster is resisting component failures and functioning as expected.

To recap, a control plane is run by all the nodes in the HA cluster. A portion (at least three) of the cluster nodes keeps a copy of the Kubernetes cluster datastore (the Dqlite database). A voting procedure is used to pick a leader for database maintenance. Aside from the voting nodes, there are non-voting nodes that store a copy of the database discreetly. These nodes are ready to replace a leaving voter. Finally, some nodes do not vote or duplicate the database. These are known as spare nodes. To summarize, the three node roles are as follows:

  • Voters: Replicating the database, participating in leader...