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Learn the use cases and applications of Kubernetes at the edge through practical examples, hands-on lab exercises and a technical overview of the K3s project and the cloud native edge ecosystem.
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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.
Use cases for running compute in edge locations
How to deploy applications to the edge with open source tools such as K3s and k3sup
How open source tools can be applied to low-power hardware such as the Raspberry Pi
The challenges associated with edge compute, such as partial availability and the need for remote access
Gain experience of deploying applications to Kubernetes and get hands-on with object storage, MQTT and OpenFaaS
Fleet management and GitOps models of deployment
Understand messaging and how to interface with sensors and real hardware.
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The trainer for this Introducton to Kubernetes on edge with K3s Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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