Edge Computing Systems with Kubernetes : A Use Case Guide for Building Edge Systems Using K3s, K3OS, and Open Source Cloud Native Technologies / Sergio Méndez.

Format:

Book

Author/Creator:

Méndez, Sergio, author.

Language:

English

Subjects (All):

Kubernetes.

Edge computing.

Physical Description:

1 online resource (458 p.)

Place of Publication:

Birmingham : Packt Publishing, Limited, 2022.

Summary:

Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing systemKey Features:A guide to implementing an edge computing environmentReduce latency and costs for real-time applications running at the edgeFind stable and relevant cloud native open-source software to complement your edge environmentsBook Description:Edge computing is a way of processing information near the source of data instead of processing it on data centers in the cloud. In this way, edge computing can reduce latency when data is processed, improving the user experience on real-time data visualization for your applications. Using K3s, a light-weight Kubernetes and k3OS, a K3s-based Linux distribution along with other open-source cloud native technologies, you can build reliable edge computing systems without spending a lot of money.In this book, you will learn how to design edge computing systems with containers and edge devices using sensors, GPS modules, WiFi, LoRa communication and so on. You will also get to grips with different use cases and examples covered in this book, how to solve common use cases for edge computing such as updating your applications using GitOps, reading data from sensors and storing it on SQL and NoSQL databases. Later chapters will show you how to connect hardware to your edge clusters, predict using machine learning, and analyze images with computer vision. All the examples and use cases in this book are designed to run on devices using 64-bit ARM processors, using Raspberry Pi devices as an example.By the end of this book, you will be able to build your own edge computing systems using the content of the chapters as Lego pieces to fit your needs.What You Will Learn:Configure k3OS and K3s for development and production scenariosPackage applications into K3s for shipped-node scenariosDeploy in occasionally connected scenarios, from one node to one million nodesManage GitOps for applications across different locationsUse open-source cloud native software to complement your edge computing systemsImplement observability event-driven and serverless edge applicationsCollect and process data from sensors at the edge and visualize it into the cloudWho this book is for:This book is for engineers (developers and/or operators) seeking to bring the cloud native benefits of GitOps and Kubernetes to the edge. Anyone with basic knowledge of Linux and containers looking to learn Kubernetes using examples applied to edge computing and hardware systems will benefit from this book.

Contents:

Cover

Title Page

Copyright and Credits

Dedication

Contributors

Table of Contents

Preface

Part 1: Edge Computing Basics

Chapter 1: Edge Computing with Kubernetes

Technical requirements

Edge data centers using K3s and basic edge computing concepts

The edge and edge computing

Benefits of edge computing

Containers, Docker, and containerd for edge computing

Distributed systems, edge computing, and Kubernetes

Edge clusters using K3s

a lightweight Kubernetes

Edge devices using ARM processors and micro data centers

Edge computing diagrams to build your system

Edge cluster and public cloud

Regional edge clusters and public cloud

Single node cluster and public/private cloud

Adapting your software to run at the edge

Adapting Go to run on ARM

Adapting Rust to run on ARM

Adapting Python to run on ARM

Adapting Java to run on ARM

Summary

Questions

Further reading

Chapter 2: K3s Installation and Configuration

Introducing K3s and its architecture

Preparing your edge environment to run K3s

Hardware that you can use

Linux distributions for ARM devices

Creating K3s single and multi-node clusters

Creating a single node K3s cluster using Ubuntu OS

Adding more nodes to your K3s cluster for multi-node configuration

Extracting K3s kubeconfig to access your cluster

Advanced configurations

Using external MySQL storage for K3s

Installing Helm to install software packages in Kubernetes

Changing the default ingress controller

Uninstalling K3s from the master node or an agent node

Troubleshooting a K3s cluster

Further reading

Chapter 3: K3s Advanced Configurations and Management

Bare metal load balancer with MetalLB

Load balancer services in Kubernetes

KlipperLB and MetalLB as bare metal load balancers

KlipperLB and MetalLB

the goods and the bads

Installing MetalLB

Troubleshooting MetalLB

Setting up Longhorn for storage

Why use Longhorn?

Installing Longhorn with ReadWriteMany mode

Using Longhorn UI

Upgrading your cluster

Upgrading using K3s Bash scripts

Upgrading K3s manually

Restarting K3s

Backing up and restoring your K3s configurations

Backups from SQLite

Backups and restoring from the SQL database K3s backend

Embedded etcd management

Installing the etcd backend

Creating and restoring etcd snapshots

Chapter 4: k3OS Installation and Configurations

k3OS

the Kubernetes operating system

k3OS installation for x86_64 devices using an ISO image

Advanced installations of k3OS using config files

k3OS config file sections

Configurations for master and agent nodes

Multi-node cluster creation using config files

Notes:

Description based upon print version of record.

Creating a multi-node K3s cluster using config files

OCLC-licensed vendor bibliographic record.

ISBN:

9781800568594

1800568592

OCLC:

1346361194