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Begin working on exercise 7.

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2024-07-25 18:47:23 +12:00
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| *Closing your web terminal* |
</Zoom>
Well done, you've finished exercise 1! 🎉
Well done, you're now ready to move on to Exercise 2 and deploy an application! 🎉

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| *Checking the ParksMap application resource usage* |
</Zoom>
Well done, you've finished exercise 2! 🎉
You've finished exercise 2, awesome! 🎉

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If you have time, take a while to explore https://artifacthub.io/packages/search to see the kinds of applications available in the most popular publicly available Helm Chart repository Artifact Hub.
Well done, you've finished exercise 4! 🎉
You've finished exercise 4, time to deploy an application with an Operator! 🎉

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If you have time, take a while to understand how [Podman](https://developers.redhat.com/articles/2022/05/02/podman-basics-resources-beginners-and-experts) can be used to build container images on your device outside of an OpenShift cluster.
Well done, you've finished exercise 6! 🎉
Awesome you've finished exercise 6! 🎉

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---
title: Optional - Deploying an application via gitops
exercise: 7
date: '2024-07-25'
tags: ['openshift','containers','kubernetes','argocd','gitops']
draft: false
authors: ['default']
summary: "Keen to explore a more advanced deployment pattern?"
---
Now that you've had a taste of most of the more basic deployment methods let's introduce the concept of [GitOps](https://www.redhat.com/en/topics/devops/what-is-gitops) and deploy an application using this more advanced approach.
In simple terms GitOps uses Git repositories as a single source of truth to deliver applications or infrastructure as code. Whenever you merge or push code into a specifc Git branch in a repository, an GitOps continuous delivery tool such as [ArgoCD](https://argo-cd.readthedocs.io/en/stable) can then automatically sync that to one or more Kubernetes clusters.
<Zoom>
|![argocd](/static/images/argocd-ui.gif) |
|:-------------------------------------------------------------------:|
| *ArgoCD user interface* |
</Zoom>
For many organisations GitOps is a goal deployment methodology as application definitions, configurations, and environments should ideally be declarative and version controlled. Application deployment and lifecycle management should be automated, auditable, and easy to understand.
Since 2021 OpenShift has included a fully supported [OpenShift GitOps](https://www.redhat.com/en/blog/announcing-openshift-gitops) operator, based on the upstream ArgoCD project.
This operator has already been installed on your cluster so let's take it for a spin now! 🚀
## 7.1 - Log in to openshift gitops web interface