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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

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 use the content of these chapters as small pieces to create your own edge computing system.

Who is this book 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.

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

What do you get with eBook?

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Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

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AI Assistant (beta) to help accelerate your learning

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E Altinel Jan 13, 2023

I have mostly enjoyed the book through k3s chapters (k3os seemed a bit hard for me but it was a good intro), cloud native apps at the practical edge applications on k8s(flux, ingress controllers and load balancers and service mesh, observability and various stateful things like storage and databases)I do recommend the book for the above cases plus the most intriguing chapters around LoRa devices and geolocalization apps(via GPS) intrigued me the most as I have heard the terms a lot but never seen the practice or had a practical job about this. It is a great book about edge technologies and plus how it relates to bigger scales with the cloud.I didn't love knative part so much but that's good as a reference point as well, the book is great but knative is just super complicated beast, so I don't recommend buying the book for just the sake of knative.

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Ramiro Jan 19, 2023

A great read for anyone looking to learn more about edge computing. I've been using Kubernetes for years and still learned a great deal. Enough that now I'm even running a small datacenter using some of my spare raspberry pi's.When Rancher released K3s four years ago, it took the computing world by storm. Kubernetes was only meant for big data centers; K3s now allowed us to run Kubernetes everywhere. But back then that was challenging; the learning curve needed to be lowered. But not anymore! "Edge Computing Systems with Kubernetes" is one of those books you wish existed years ago.Whether you are getting started on Edge Computing and Kubernetes, or if you are a seasoned Kubernetes professional, there is something in this book for you. The book is clear, and entertaining, and strikes a great balance between theory and practice.

Hung Tran Oct 17, 2022

I am a graduate student for cloud computing, I am building one of my project that need to use Docker and Kubernetes, This book have saved me a ton of time for watching tutorial, because it provide so much coding example that I can learn from and when I forgot how to use it, I can just come back and read about it. This book also divide the edge computing usage within several topics , so depend on what you do on your project, you can look up the topics easily. This really good and comprehensive guidance

Carlos A. Aug 16, 2024

The book is very comprehensive it covers the full set of topics for kubernetes while touching uses cases on the edge.

Anthony J. Barbaro Oct 22, 2024

There are numerous errors and issues with the text due updates in the Kubernetes API. This improves at chapter 5. I am able to work around the issues with web searches and using the Kindle annotations to make the solutions permanent in my copy

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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