The Linux Foundation’s new Kubernetes training course is now available for developers and system administrators who want to learn container orchestration using this popular open source tool.
Kubernetes is quickly becoming the de facto standard to operate containerized applications at scale in the data center. As its popularity surges, so does demand for IT practitioners skilled in Kubernetes.
“Kubernetes is rapidly maturing in development tests and trials and within production settings, where its use has nearly tripled in the last eight months,” said Dan Kohn, executive director, the Cloud Native Computing Foundation.
Kubernetes Fundamentals (LFS258) is a self-paced, online course that teaches students how to use Kubernetes to manage their application infrastructure. Topics covered include:
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Kubernetes architecture
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Deployment
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How to access the cluster
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Tips and tricks
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ConfigMaps, and more.
Developed by The Linux Foundation and the Cloud Native Computing Foundation, home of the Kubernetes open source project, developers and admins will learn the technology straight from the source.
Students will learn the fundamentals needed to understand Kubernetes and get quickly up to speed to start building distributed applications that will scale, be fault-tolerant, and simple to manage.
The course distills key principles, such as pods, deployments, replicasets and services, and give students enough information to start using Kubernetes on their own. And it’s designed to work with a wide range of Linux distributions, so students will be able to apply the concepts learned regardless of their distribution of choice.
LFS258 also will help prepare those planning to take the Kubernetes certification exam, which will launch later this year. Updates are planned for the course ahead of the certification exam launch, which will be specifically designed to assist with preparation for the exam.
The course, which has been available for pre-registration since November, is available to begin immediately. The $199 course fee provides unlimited access to the course for one year to all content and labs. Sign up now!
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