![]() ![]() ![]() ![]() You can, of course, use the same procedure to deploy applications on any other OpenShift environment. In this article, I'll walk you through deploying a sample application on an OpenShift Local cluster. For small applications, OpenShift provides the new-app feature that allows you to build and deploy your application straight from your Git repository. In many cases, you don't need a full pipeline to build and deploy your application. Whether you're deploying locally or remotely, one common element is that you need a container image to run an application in your cluster. You can use a pod definition, a deployment for relatively simple applications, or a pipeline for more advanced scenarios. ![]() Kubernetes, and by extension Red Hat OpenShift Container Platform, allows you to deploy your application in different ways, depending on the complexity and uniqueness of your requirements. After you've confirmed that it works properly, you can then deploy that application in a production environment, whether it's another on-premises cluster or a Red Hat OpenShift service running on a cloud provider. You can use that environment to make a test deployment of an application. If you followed along with my first article on this topic, How to install Red Hat OpenShift Local on your laptop, you now have a local OpenShift environment. One of the benefits of Kubernetes is that it allows you to run your applications in the exact same way in your test environment as in your production environment. ![]()
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