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Kubernetes for Developers: Moving to the Cloud

Running Kubernetes in the Cloud presents additional opportunities and challenges. Being aware of available innovations and best practices can help you evaluate your options and make a more informed decision as you move to the cloud.

Intermediate
1h 24m
(15)

Created by Craig Golightly

Last Updated Oct 25, 2023

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  • Course

Kubernetes for Developers: Moving to the Cloud

Running Kubernetes in the Cloud presents additional opportunities and challenges. Being aware of available innovations and best practices can help you evaluate your options and make a more informed decision as you move to the cloud.

Intermediate
1h 24m
(15)

Created by Craig Golightly

Last Updated Oct 25, 2023

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What you'll learn

Running your Kubernetes application on a managed service in the cloud can simplify operations, reduce ongoing maintenance costs, and improve performance and stability. In this course, Kubernetes for Developers: Moving to the Cloud, you will gain the ability to deploy a basic application on a managed Kubernetes cluster in the cloud. First, you will learn about the tools available to you in the cloud including container repositories, cloud native approaches, and options for automation. Next, you will discover how to create a Kubernetes cluster in a managed cloud service. Finally, you will explore how to update your application and manage ongoing cluster maintenance. When you are finished with this course, you will have the skills and knowledge to deploy and update a basic Kubernetes app on the following major cloud providers: AWS (EKS), Azure (AKS), and Google Cloud (GKE).

Kubernetes for Developers: Moving to the Cloud
Intermediate
1h 24m
(15)
Table of contents

About the author
Craig Golightly - Pluralsight course - Kubernetes for Developers: Moving to the Cloud
Craig Golightly
36 courses 4.5 author rating 1315 ratings

Craig is passionate about solving problems with the right tools. He has a bachelor's and master's degree in computer science with extensive experience in AWS, microservices, and artificial intelligence. Craig enjoys teaching and mentoring others so they can save time and accomplish their goals faster.

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