Understand how to use K3s and K3os for different use cases using complementary software and discover best practices for building an edge computing system.
Key Features
- Start implementing an Edge Computing environment
- Reduce costs on data processing or real time application on the edge
- Find stable and relevant cloud native open source software to implement edge computing environments
Book Description
Edge Computing is a way to process information near to the source of data and not processing the information on data centers in the cloud. It enables you to create distributed systems that process information near to the source of data and design systems that reduce latency when data is processed improving the user experience of your applications. With the use of K3s, k3OS and 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 using containers and edge devices. You will also apply different use cases and examples covered in this book as a quick start to solve common use cases for each computing such as updating your applications using GitOps, data processing, getting data from sensors, using basic hardware to connect to your cluster, machine learning, and so on.
By the end of this book, you will be ready to implement a whole Edge Computing system using containers and a light weight Kubernetes distribution that can help your business to go to the next step of evolution of processing information using edge devices such as smartphones, ARM computers and others.
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 development flows to the edge with Fleet
- Use open source cloud native software to complement your edge computing systems
- Implement observability in your edge implementations
- Process data from sensors on 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 cloud native benefits of GitOps and Kubernetes to the Edge. People with basic knowledge of Linux and Containers and looking to learn Kubernetes using examples applied to edge computing will benefit from this book.
Table of Contents
- Edge Computing with Kubernetes
- K3s installation & configuration
- K3os installation & configuration
- Raspberry PI Clusters and Local Labs with K3s/K3os
- Multiple cluster Management with Rancher
- Ingress Controllers to expose applications
- GitOps with FluxCD
- Observability and traffic routing using Linkerd service mesh
- Deployment strategies using native K8s and Linkerd
- NoSQL Databases on the Edge, Mongo and Redis
- Machine Learning Pipelines with Argo Workflows
- Building a Geo Localization system on the edge
- Monitoring Large Edge Clusters
- Creating a distributed file systems on K3s