Deploying a Python App with Oracle Cloud Container Engine for Kubernetes from Pluralsight

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.

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.

What's inside

Syllabus

Course Overview

Setting up a Cluster on Oracle Cloud Infrastructure

Pushing a Docker Image to the Oracle Cloud Infrastructure Registry

Deploying to Your Oracle Container Engine for Kubernetes Cluster

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for individuals with experience in Python development and Kubernetes

Well-defined objectives that align with industry best practices

Instructor Craig Golightly is recognized for expertise in Kubernetes and Oracle Cloud

Provides practical experience in deploying Python apps on Oracle Cloud

Hands-on labs enhance the learning experience

Course is up-to-date and covers current versions of Python and Kubernetes

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Deploying a Python App with Oracle Cloud Container Engine for Kubernetes with these activities:

Explore Oracle Cloud Infrastructure documentation

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Review Oracle's documentation to become familiar with the platform and its features.

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Visit the Oracle Cloud Infrastructure documentation website.
Read through the tutorials and documentation relevant to the course.
Take notes on the key concepts and commands.

Review Docker image basics

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Begin by reviewing the basics of Docker images so you have a good comprehension of the course materials.

Browse courses on Docker Images

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Read Docker documentation on building images
Review a Dockerfile example
Run a Docker image

Oracle Cloud Infrastructure Registry Tutorial

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Follow an official tutorial to gain a deeper understanding of the features and capabilities of the Oracle Cloud Infrastructure Registry.

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Visit the Oracle Cloud Infrastructure Registry documentation.
Follow the step-by-step instructions in the tutorial.
Experiment with the registry using the provided examples.

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Follow online tutorials on Kubernetes best practices

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Stay updated on the latest Kubernetes best practices by following online tutorials and resources.

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Identify reputable online sources for Kubernetes tutorials.
Follow tutorials that cover best practices for deploying, managing, and monitoring Kubernetes clusters.
Take notes and experiment with the techniques learned.

Explore OCI Registry API

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Prepare for the upcoming lessons by exploring the OCI Registry API.

Browse courses on Docker Registry

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Study official documentation on OCI Registry API
Follow a tutorial on using the API with Python
Write a piece of sample code

Deploy a sample Python app to Oracle Container Engine for Kubernetes

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Practice deploying a sample application to solidify your understanding of the deployment process.

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Create a Python app using the provided code.
Configure the app to run on Oracle Container Engine for Kubernetes.
Deploy the app to your Kubernetes cluster.
Test the app to ensure it runs correctly.

Practice using Kubernetes cluster

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Get hands-on experience and build confidence by practicing how to use a Kubernetes cluster.

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Set up a Kubernetes cluster locally
Deploy a sample application
Scale the application
Monitor the cluster

Deploy a Python app to a Kubernetes Cluster

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Practice deploying a Python app to a Kubernetes cluster to reinforce your understanding of the deployment process.

Browse courses on Kubernetes Cluster

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Create a Kubernetes cluster on Oracle Cloud Infrastructure.
Build a Docker image for your Python app.
Push the Docker image to the Oracle Cloud Infrastructure Registry.
Deploy the Docker image to your Kubernetes cluster.
Test your deployed app.

Troubleshoot Kubernetes Cluster Issues

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Practice troubleshooting common issues that may arise when working with Kubernetes clusters to develop your problem-solving skills in this area.

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Identify the symptoms of the issue.
Check the Kubernetes logs for errors.
Inspect the cluster resources for any anomalies.
Try to reproduce the issue in a test environment.
Implement a solution to fix the issue.

Attend Oracle's Container Engine for Kubernetes workshop

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Gain hands-on experience with Oracle's Container Engine for Kubernetes through a guided workshop.

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Find an Oracle Container Engine for Kubernetes workshop in your area.
Register for the workshop.
Attend the workshop and participate actively.
Ask questions and take notes during the workshop.

Write a summary of deploying Python app using OCI Registry and OCE Kubernetes Engine

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Reinforce your understanding by writing a summary of the process.

Browse courses on Cloud Services

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Outline the key steps
Write a draft of the summary
Revise and edit the summary

Write a Blog Post on Kubernetes Best Practices

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Create a blog post to share your knowledge and insights on best practices for working with Kubernetes clusters.

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Research and gather information on Kubernetes best practices.
Organize your content into a logical structure.
Write the blog post, ensuring clarity and conciseness.
Proofread and edit your post for accuracy and readability.
Publish your blog post on a relevant platform.

Develop a Python application using Oracle Container Engine for Kubernetes

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Undertake a project that challenges you to apply the concepts of the course to a real-world scenario.

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Identify a business problem that can benefit from using Docker and Kubernetes.
Design and develop a Python application that addresses the problem.
Deploy the application to Oracle Container Engine for Kubernetes.
Monitor and maintain the application in production.

Participate in a Kubernetes challenge

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Push your limits and showcase your skills by participating in a Kubernetes challenge.

Browse courses on Kubernetes

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Find a suitable challenge
Prepare for the challenge
Submit your solution

Help others understand Kubernetes deployment

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Assimilate your understanding by mentoring others who are learning about Kubernetes deployment.

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Identify a mentee
Set up a regular meeting schedule
Provide guidance and support

Career center

Learners who complete Deploying a Python App with Oracle Cloud Container Engine for Kubernetes will develop knowledge and skills that may be useful to these careers:

Cloud Developer

Cloud Developers design, build and deploy cloud-based applications. This course could be useful to a Cloud Developer who wants to learn more about deploying Python apps on a Kubernetes cluster in Oracle Cloud.

See salaries and explore the career path for Cloud Developer

Infrastructure Architect

Infrastructure Architects design, build and maintain the infrastructure for an organization. This could be useful for an Infrastructure Architect who wants to learn more about deploying Python apps on a Kubernetes cluster in Oracle Cloud.

See salaries and explore the career path for Infrastructure Architect

Technical Program Manager

Technical Program Managers are responsible for planning and managing the development of software products. This course could be useful to a Technical Program Manager who wants to learn more about deploying Python apps on a Kubernetes cluster in Oracle Cloud.

See salaries and explore the career path for Technical Program Manager

Product Manager

Product Managers are responsible for developing and managing products. This course could potentially be useful to a Product Manager who wants to learn more about deploying Python apps on a Kubernetes cluster in the Oracle Cloud.

See salaries and explore the career path for Product Manager

Full-Stack Developer

Full Stack Developers are responsible for developing both the front-end and back-end of web applications. This course may be useful to a Full Stack Developer who is interested in deploying Python apps on a Kubernetes cluster.

See salaries and explore the career path for Full-Stack Developer

Solutions Architect

Solutions Architects are responsible for designing and implementing IT solutions for businesses. This course could offer potential benefit to a Solutions Architect who is interested in learning about deploying Python apps on a Kubernetes cluster in Oracle Cloud.

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Data Engineer

Data Engineers are responsible for designing, developing, and maintaining data pipelines. This course may be of interest to a Data Engineer who wishes to deploy Python apps on a Kubernetes cluster.

See salaries and explore the career path for Data Engineer

Site Reliability Engineer

Site Reliability Engineers are responsible for ensuring the reliability and performance of websites and other online services. This course may be useful for a Site Reliability Engineer who is not familiar with Kubernetes.

See salaries and explore the career path for Site Reliability Engineer

Cloud Engineer

Cloud Engineers are responsible for designing, developing, and maintaining cloud computing systems and applications. It is possible this course could be useful to a Cloud Engineer by providing a helpful starting point for spinning up a Kubernetes cluster on Oracle Cloud Infrastructure and deploying containerized applications.

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Software Engineer

Software Engineers are responsible for designing, developing, and testing software. This course may be useful for a Software Engineer who wants to gain experience with deploying apps on a Kubernetes cluster in Oracle Cloud.

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Systems Administrator

Systems Administrators are responsible for maintaining and managing computer systems. This course could offer potential value to a Systems Administrator who wishes to learn how to operate a Kubernetes cluster on the Oracle Cloud and deploy Docker images.

See salaries and explore the career path for Systems Administrator

Kubernetes Administrator

A Kubernetes Administrator is responsible for deploying, managing, and monitoring Kubernetes clusters. This course could potentially be useful to a Kubernetes Administrator by providing instruction on how to set up a cluster on Oracle Cloud Infrastructure and to deploy to an Oracle Container Engine for Kubernetes Cluster.

See salaries and explore the career path for Kubernetes Administrator

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams. This course may be useful to a DevOps Engineer as it helps build a foundation in utilizing Kubernetes and containerizing an application using Docker.

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Cloud Architect

Cloud Architects are responsible for designing, developing, and managing cloud computing solutions. Their main focus is on planning and implementing cloud strategies and solutions. This course could be useful to one who wishes to become a Cloud Architect as it provides exposure to Kubernetes and the Oracle Cloud Infrastructure Registry.

See salaries and explore the career path for Cloud Architect

Docker Captain

A Docker Captain is a role that involves helping others understand and use Docker, a platform for running applications in containers. Docker Captains can work on the product itself or with customers who use Docker. This course may be useful by providing insights into a Docker workflow from the perspective of someone deploying apps on a Kubernetes cluster.

See salaries and explore the career path for Docker Captain

Deploying a Python App with Oracle Cloud Container Engine for Kubernetes

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