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

Book Description

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.

中文：

书名：具有Kubernetes的边缘计算系统: 使用K3s，k3OS和开源云原生技术构建边缘系统的用例指南

了解如何将K3s和k3OS用于不同的用例，并发现构建边缘计算系统的最佳实践

主要功能

• 边缘计算环境实现指南
• 降低边缘实时应用的延迟和成本
• 寻找稳定且相关的云原生开源软件，以补充您的边缘环境

图书描述

边缘计算是一种在数据源附近处理信息的方式，而不是在云中的数据中心上处理信息。通过这种方式，边缘计算可以减少处理数据时的延迟，从而改善应用程序实时数据可视化的用户体验。使用K3s、轻量级Kubernetes和k3OS、K3s-based Linux发行版以及其他开源云原生技术，您可以构建可靠的边缘计算系统，而无需花费大量资金。

在本书中，您将学习如何使用传感器，GPS模块，WiFi，LoRa通信等设计具有容器和边缘设备的边缘计算系统。您还将掌握本书中涵盖的不同用例和示例，如何解决边缘计算的常见用例，例如使用GitOps更新应用程序，从传感器读取数据并将其存储在SQL和NoSQL数据库中。后面的章节将向您展示如何将硬件连接到边缘集群，如何使用机器学习进行预测以及如何使用计算机视觉分析图像。本书中的所有示例和用例都旨在以Raspberry Pi设备为例，在使用64位ARM处理器的设备上运行。

到本书结束时，您将能够使用章节内容作为乐高积木来构建自己的边缘计算系统，以满足您的需求。

什么你会学到

• 为开发和生产场景配置k3OS和K3s
• 将应用打包到K3s中
• 部署在偶尔连接的场景中，从一个节点到100万节点
• 跨不同位置的应用管理GitOps
• 使用开源云原生软件来补充您的边缘计算系统
• 实现可观察性事件驱动和无服务器边缘应用
• 收集和处理来自边缘传感器的数据，并将其可视化到云中

这本书是为谁准备的

这本书是为工程师 (开发人员和/或运营商) 寻求将GitOps和Kubernetes的云原生优势带到边缘。任何具有Linux和容器基本知识的人都希望使用应用于边缘计算和硬件系统的示例来学习Kubernetes，将从本书中受益。