Edge Computing With Kubernetes
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Edge Computing with Kubernetes
DESCRIPTION KubeEdge represents a dynamic evolution in edge computing, continually adapting to the growing demands of modern applications and the Internet of Things (IoT). The foresight of its founders has been instrumental in establishing a robust framework that not only extends Kubernetes capabilities but also fosters collaboration within the open-source community, ensuring that KubeEdge remains at the forefront of technological advancements in edge environments. This book covers containers, Kubernetes fundamentals, and KubeEdge's architecture, including CloudCore, EdgeCore, and DeviceTwin. Learn installation, configuration, and management, focusing on scalability, security, and resilience. Explore workload management, upgrades, observability, and automation with tools like Terraform and Ansible. The book also reviews industry alternatives, SIGs, and collaborations with CNCF projects. Finally, discover real-world applications in industries like manufacturing and retail, with insights into Sedna AI for edge analytics. Through practical examples, industry insights, and case studies, this book describes what is currently developed around KubeEdge and the functional and non-functional aspects surrounding it. If you are looking to understand this technology in depth, in its current state of maturity, and extend it into your solution architecture, this book will serve as valuable guidance for you. WHAT YOU WILL LEARN ● Understand the key concepts and technologies driving edge computing and its significance in modern applications. KubeEdge architecture, including its components and how they interact to manage edge devices. ● Step-by-step processes for installing, configuring, and optimizing KubeEdge in various environments. ● Explore best practices for ensuring the security and resilience of edge computing systems using KubeEdge. ● Discover practical use cases and case studies that demonstrate the successful implementation of KubeEdge in diverse industries. WHO THIS BOOK IS FOR This book is designed for IT professionals, software developers, and technical managers seeking to deepen their understanding of edge computing and KubeEdge. It is also valuable for students and researchers exploring cloud-native technologies, as well as IoT enthusiasts looking to manage edge workloads effectively. TABLE OF CONTENTS 1. Introduction to Containers and Edge Computing 2. KubeEdge Architecture 3. KubeEdge Advanced Configuration 4. KubeEdge Installation and Configuration 5. Resiliency and Security 6. Edge Operations 7. Edge Automation 8. Industry Insights 9. KubeEdge Releases and Examples
Edge Computing Systems with Kubernetes
Author: Sergio Méndez
language: en
Publisher: Packt Publishing Ltd
Release Date: 2022-10-14
Understand how to use K3s and k3OS for different use cases and discover best practices for building an edge computing system Key FeaturesA 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 use the content of these chapters as small pieces to create your own edge computing system. What you will learnConfigure 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.
Edge Computing Systems with Kubernetes
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.