IoT Edge Computing with MicroK8s

A hands-on approach to building, deploying, and distributing production-ready Kubernetes on IoT and Edge platforms

By: Karthikeyan Shanmugam

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eText | 30 September 2022 | Edition Number 1

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A step-by-step, comprehensive guide that includes real-world use cases to help successfully develop and run applications and mission-critical workloads in MicroK8s environment

Key Features

Easy to follow guide that helps you get started with Microk8s and other Kubernetes components
Helps to understand the key concepts and constraints for building the IoT and edge architectures Get guidance on how to develop and deploy use cases and examples on IoT and edge computing platforms

Book Description

Facing challenges with developing, deploying, monitoring, storing, securing and managing Kubernetes in production environments, when you're not much familiar with infrastructure technologies? Here's MicroK8s, a zero-ops, lightweight Kubernetes with small footprint, the apt solution for you.

MicroK8s in Action gets you up and running with production-grade, highly available (HA) Kubernetes clusters on MicroK8s using a step-by-step approach, best practices, and real examples based on IoT and edge computing.

Beginning with an overview of Kubernetes, MicroK8s, and IoT and Edge computing important features and architectures, this book shows you how to easily install, deploy sample applications, and enable add-ons (like DNS and dashboard) on the MicroK8s platform. You'll be able to work with multi-node Kubernetes clusters on Raspberry Pi, and networking tools (such as Calico and Cilium), perform integrations with service mesh and load balancing with MetalLB, and run AI/ML workloads in a Microk8s environment. You'll also understand how to connect and secure containers, monitor infrastructure and applications with Prometheus, Grafana, ELK stack, and Jaeger, manage storage replication with OpenEBS, resist component failure using HA cluster, and discover hardware virtualization and future trends.

By the end of this book, you'll be able to use MicroK8 to build and implement various scenarios for IoT and edge computing workloads on your own in production environment.

What you will learn

Get a holistic view of Microk8s features using a sample application
Learn about IoT and Edge computing and their architecture constraints
Create, scale, and update HA Raspberry Pi multi-node clusters on MicroK8s
Implement AI/ML use case with Kubeflow and secured containers with Kata
Work with various networking, logging and monitoring tools on MicroK8s
Discover service mesh integrations using Istio and Linkerd
Execute serverless applications using KNative and OpenFaas frameworks
Apply Microk8s for running and deploying IoT and Edge workloads

Who This Book Is For

The book is intended for DevOps and cloud engineers, Kubernetes SREs and application developers who desire to implement efficient techniques for deploying their software solutions. It will be also useful for technical architects and technology leaders who are looking to adopt cloud-native technologies. A basic understanding of container-based application design and development, virtual machines, networking, databases, and programming will be helpful for using this book.