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Introduction to Kubernetes on Edge with k3s

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Introduction to Kubernetes on Edge with k3s

There is a growing interest in running software at the edge. This course takes a deep dive into the use cases and applications of Kubernetes at the edge using examples, labs, and a technical overview of the K3s project and the cloud native edge ecosystem.

Who Is It For :

This course is designed for those interested learning more about Kubernetes, as well as in deploying applications or embedded sensors in edge locations. While learners do not need a Kubernetes certification for this course, experience with a Linux operating system and shell scripting will be beneficial. Programming experience is also not strictly required. Learners will need to be able to run Docker on their computer.

What You’ll Learn :

In this course, you will learn the use cases for running compute in edge locations and about various supporting projects and foundations such as LF Edge and CNCF. The course covers how to deploy applications to the edge with open source tools such as K3s and k3sup, and how those tools can be applied to low-power hardware such as the Raspberry Pi. You will learn the challenges associated with edge compute, such as partial availability and the need for remote access. Through practical examples, students will gain experience of deploying applications to Kubernetes and get hands-on with object storage, MQTT and OpenFaaS. It also introduces the fleet management and GitOps models of deployment, and helps you understand messaging, and how to interface with sensors and real hardware.

What It Prepares You For :

This course will enable developers to learn about the growing impact the cloud native movement is having on modernizing edge deployments. They will also learn the challenges of deploying Kubernetes on the edge through a concrete example via the k3s project.

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Testimonials

John Medina

Program Manager - NYC Department of Social Services Agency

The lab provides many details for understanding the concepts of k8s.

Marina Kong

Rail Systems Designer - WSP USA

What I liked most about the course was the material, the exercises, and the simulations.

Agam Prakash Vajpeyi

Senior Manager - Qualcomm

I liked how much of the Kubernetes components it covered. I also really liked the hands-on labs, they were clear, and easy to follow, and all the setup scripts worked without any troubleshooting needed.

Midhat Hassan

Senior Bridge Engineer - AECOM

This course covered many topics in Kubernetes, and has improved my knowledge of Kubernetes.

Online, Self Paced
14-16 Hours of Course Material
Hands-on Labs & Assignments.
10 Weeks of Free Access to Online Course
Digital Badge
Discussion Forums

Details

Chapter 1. The Case for Edge Compute
Chapter 2. The Edge Compute Landscape
Chapter 3. Scaling Down and System-on-Chip Devices
Chapter 4. K3s: What Is and Why Is It needed?
Chapter 5. Setting Up Your Own Lab Environment
Chapter 6. Deploying Real Workloads with the Kubernetes API
Chapter 7. Functions at the Edge
Chapter 8. Command & Control and Remote Access
Chapter 9. Deployment Strategies for Applications at the Edge
Chapter 10. Challenges with the Edge
Chapter 11. Continue Your Journey
Final Exam (verified track only)

Schedules

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