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Deploying a Python App with Oracle Cloud Container Engine for Kubernetes

Learn how to use the Oracle Cloud Infrastructure Registry for your Python app and deploy that app to the Oracle Cloud Container Engine for Kubernetes. You will also see how easy it is to update your running Kubernetes cluster when your app changes.

Beginner
32m
(9)

Created by Craig Golightly

Last Updated Dec 05, 2024

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  • Course

Deploying a Python App with Oracle Cloud Container Engine for Kubernetes

Learn how to use the Oracle Cloud Infrastructure Registry for your Python app and deploy that app to the Oracle Cloud Container Engine for Kubernetes. You will also see how easy it is to update your running Kubernetes cluster when your app changes.

Beginner
32m
(9)

Created by Craig Golightly

Last Updated Dec 05, 2024

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What you'll learn

Running your application on a Kubernetes cluster can be quick and easy. In this course, Deploying a Python App with Oracle Cloud Container Engine for Kubernetes, you will gain the ability to run a Python app on a Kubernetes cluster in Oracle Cloud. First, you will learn how to push a Docker image to the Oracle Cloud Infrastructure Registry. Next, you will discover how to create a Kubernetes cluster and deploy your Docker image to that cluster. Finally, you will explore how to update your cluster when your application changes. When you are finished with this course, you will have the skills and knowledge to run your Python App on a managed Kubernetes cluster in Oracle Cloud, leverage the Oracle Cloud Infrastructure Registry for your Docker images, and update your Kubernetes cluster when your app changes.

Deploying a Python App with Oracle Cloud Container Engine for Kubernetes
Beginner
32m
(9)
Table of contents

About the author
Craig Golightly - Pluralsight course - Deploying a Python App with Oracle Cloud Container Engine for Kubernetes
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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