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.