Edge Computing Systems with Kubernetes
A use case guide for building edge systems using K3s, k3OS, and open source cloud native technologies
Created by Sergio Méndez
Explore how to build efficient edge computing systems by combining lightweight Kubernetes tools like K3s and k3OS with open source cloud native technologies. Learn to process data closer to the source, reduce latency, and support real-time applications using practical examples and hands-on projects.
Packt | Oct 2022 | 458 min
What You Will Learn
You will work through real-world use cases, configuring edge clusters and connecting hardware like sensors and GPS modules. Practical exercises guide you through deploying applications, managing updates with GitOps, and using open source tools for observability and automation. Each step helps you build confidence in designing and operating edge systems.
Key Features
- Set up and manage K3s and k3OS for edge computing environments
- Integrate sensors, databases, and machine learning at the edge
- Apply GitOps and cloud native tools to automate and monitor edge systems
Target Audience
Ideal for engineers and operators with basic Linux and container knowledge who want to bring cloud native practices to edge computing. If you are looking to apply Kubernetes in resource-constrained or distributed environments and want practical guidance for real hardware, this course will help you reach your goals.
