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.
Table of Contents
- Edge Computing with Kubernetes
- K3s Installation and Configuration
- k3OS Installation and 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 Distributed File Systems on K3s
- Designing Your Own Edge Computing System
Sergio Méndez is a systems engineer and professor of operating systems at San Carlos of Guatemala university. His work at the university is related to teaching and researching cloud native technologies with his students. He has experience working on DevOps, and MLOps using open source technologies at work. About open source communities, he is involved in the CNCF Community, promoting students into the CNCF Ecosystem and hosting a Cloud Native meetup in Guatemala. He has been a speaker at several conferences such as KubeCon, WTFisCloudNative, and Kubernetes Community Days. He is also a Linkerd Ambassador.
