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

An overview of HA topologies

In this section, we’ll look at the two most common HA topologies for enabling HA clusters. The Kubernetes cluster’s control plane is mostly stateless. The cluster datastore, which operates as the one source of truth for the whole cluster, is the only stateful component of the control plane. Internal and external consumers can access and alter the state through the API server, which serves as a gateway to the cluster datastore. MicroK8s uses Dqlite, a distributed and highly accessible variant of SQLite, as the key-value database to preserve the cluster’s state.

Before looking at the HA topologies, let us look at potential failure scenarios that could hamper cluster operations:

  • Loss of control plane (master) node: Loss of the master node or its services will have a major impact. The cluster will be unable to respond to API commands or the deployment of nodes. Each service in the master node, as well as the storage layer, is...