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Sergio Mendez - Edge Computing Systems with Kubernetes: A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies

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Sergio Mendez Edge Computing Systems with Kubernetes: A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies
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Edge Computing Systems with Kubernetes: A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies: summary, description and annotation

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Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing system

Key Features
  • A guide to implementing an edge computing environment
  • Reduce latency and costs for real-time applications running at the edge
  • Find stable and relevant cloud native open source software to complement your edge environments
Book 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 scenarios
  • Package applications into K3s for shipped-node scenarios
  • Deploy in occasionally connected scenarios, from one node to one million nodes
  • Manage GitOps for applications across different locations
  • Use open source cloud native software to complement your edge computing systems
  • Implement observability event-driven and serverless edge applications
  • Collect and process data from sensors at the edge and visualize it into the cloud
Who 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.

Table of Contents
  1. Edge Computing with Kubernetes
  2. K3s Installation and Configuration
  3. k3OS Installation and Configuration
  4. Raspberry Pi Clusters and Local Labs with K3s/k3OS
  5. Multiple Cluster Management with Rancher
  6. Ingress Controllers to Expose Applications
  7. GitOps with FluxCD
  8. Observability and Traffic Routing Using Linkerd Service Mesh
  9. Deployment Strategies Using Native K8s and Linkerd
  10. NoSQL Databases on the Edge, Mongo and Redis
  11. Machine Learning Pipelines with Argo Workflows
  12. Building a Geo Localization System on the Edge
  13. Monitoring Large Edge Clusters
  14. Creating Distributed File Systems on K3s
  15. Designing Your Own Edge Computing System

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Edge Computing Systems with Kubernetes A use case guide for building edge - photo 1
Edge Computing Systems with Kubernetes

A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies

Sergio Mndez

BIRMINGHAMMUMBAI Edge Computing Systems with Kubernetes Copyright 2022 Packt - photo 2

BIRMINGHAMMUMBAI

Edge Computing Systems with Kubernetes

Copyright 2022 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Group Product Manager: Rahul Nair

Publishing Product Manager: Preet Ahuja

Content Development Editor: Nihar Kapadia

Technical Editor: Shruthi Shetty

Copy Editor: Safis Editing

Project Coordinator: Ashwin Dinesh Kharwa

Proofreader: Safis Editing

Indexer: Pratik Shirodkar

Production Designer: Prashant Ghare

Senior Marketing Coordinator: Nimisha Dua

First published: October 2022

Production reference: 1280922

Published by Packt Publishing Ltd.

Livery Place

35 Livery Street

Birmingham

B3 2PB, UK.

ISBN 978-1-80056-859-4

www.packt.com

To my mother, Chusita, and my father, Arnaldo, my friends in the cloud native ecosystem, my colleagues at Yalo, and my students at USAC University, who have motivated and supported me throughout the process of writing this book.

Also, I would like to thank the Packt editors, who worked with me to ensure high-quality content.

Contributors
About the author

Sergio Mndez is a systems engineer and professor of operating systems in Guatemala at USAC University. His work at the university is related to teaching and researching cloud native technologies. He has experience working on DevOps and MLOps, using open source technologies at work. He is involved with several open source communities, including CNCF communities, promoting students in the CNCF ecosystem, and he hosts a cloud native meetup in Guatemala. He has been a speaker at several conferences, such as OSCON, KubeCon, WTF is Cloud Native?, and Kubernetes Community Days. He is also a Linkerd Ambassador.

Id like to thank the team at Packt for giving me the opportunity to write my first book about something that has been wholly enjoyable. Most thanks, however, go to my reviewers and friends, Tiffany Jachja and Santiago Torres, for supporting me by reviewing this book during my busy professional life.

About the reviewers

Santiago Torres-Arias is an assistant professor at Purdue Universitys School of Electrical and Computer Engineering department. His interests include binary analysis, cryptography, distributed systems, and security-oriented software engineering. His current research focuses on securing the software development life cycle, cloud security, and update systems. Santiago is a member of the Arch Linux security team and has contributed patches to F/OSS projects at various degrees of scale, including Git, the Linux kernel, Reproducible Builds, NeoMutt, and the Briar project. Santiago is also a maintainer of the Cloud Native Computing Foundations project The Update Framework (TUF), as well as the lead of the in-toto project.

Id like to thank the broader CNCF community for encouraging engagement from various perspectives and walks of life. In particular, Id like to thank the leads of TAG-Security, as well as the Supply Chain Security Workgroup for all their input and feedback throughout the years. Outside of CNCF, Id like to thank my colleagues and students at Purdue University for fostering a welcoming and truth-seeking environment.

Tiffany Jachja is an accomplished writer, speaker, and technologist, helping teams and other technologists deliver their best work. She brings her experiences in DevOps and cloud native application development to the data science field as an engineering leader. In her tenure within technology, shes led the successful delivery of technologies across various spaces and industries, including academia, government, finance, enterprise, start-ups, and media. She now helps people worldwide deliver their best work to create the success, recognition, and wealth they desire.

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