Foundations of OpenShift

Learning path | 13 resources | 4 hrs | Published on June 27, 2023
Bob Reselman Don Schenck

Learn the foundations of OpenShift through hands-on experience deploying and working with applications, using a no-cost OpenShift cluster through the Developer Sandbox.

Access the Developer Sandbox

 

  1. Overview: Foundations of OpenShift
  2. OpenShift and the Developer Sandbox Page | 20 mins
  3. Overview of the web console Page | 20 mins
  4. Use the terminal window within the Red Hat OpenShift web console Page | 20 mins
  5. Install an application from source code in a GitHub repository using the OpenShift web console Page | 20 mins
  6. Install an application from a Linux container image repository using the OpenShift web console Page | 20 mins
  7. Install an application from a Linux container image using the oc CLI tool Page | 20 mins
  8. Install an application from a source code using the oc CLI tool Page | 20 mins
  9. Scale applications using the OpenShift web console Page | 20 mins
  10. Scale applications using the oc CLI tool Page | 20 mins
  11. Work with databases in OpenShift using the oc CLI tool Page | 20 mins
  12. Work with databases in the OpenShift web console Page | 20 mins
  13. View performance information using the OpenShift web console Page | 20 mins

Overview: Foundations of OpenShift

Feature image for Red Hat OpenShift

Getting started with OpenShift, or Kubernetes? Start with the foundations to get hands-on experience creating and deploying applications in Red Hat OpenShift using a no-cost OpenShift cluster through the Developer Sandbox. For the best experience in this learning path, we suggest that you complete the following learning resources in the order shown. When you click on a resource, it will open in a new tab. Keep this page open so you can easily move on to the next resource.

Prerequisites:

In this learning path, you will learn:

  • The basic concepts behind OpenShift.
  • How to create and deploy applications directly into an OpenShift cluster from source as well as Linux containers.
  • How to work with Live Coding to compile and deploy the changes immediately and automatically into OpenShift.
  • How to create data-driven applications using a variety of OpenShift data technologies.