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Add port-forward to ml-pipeline-ui service (#3805) 

* Add port-forward to ml-pipeline-ui service

Signed-off-by: Diego Lovison <diegolovison@gmail.com>

* Update content/en/docs/components/pipelines/operator-guides/installation/_index.md

Signed-off-by: Diego Lovison <diegolovison@gmail.com>

Co-authored-by: Helber Belmiro <helber.belmiro@gmail.com>

* Update content/en/docs/components/pipelines/operator-guides/installation/_index.md

Signed-off-by: Diego Lovison <diegolovison@gmail.com>

Co-authored-by: Helber Belmiro <helber.belmiro@gmail.com>

---------

Signed-off-by: Diego Lovison <diegolovison@gmail.com>
Co-authored-by: Helber Belmiro <helber.belmiro@gmail.com>
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Diego Lovison 2024-07-16 17:48:56 -03:00 committed by GitHub
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content/en/docs/components/pipelines/operator-guides/installation/_index.md
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@ -24,4 +24,11 @@ You should be familiar with [Kubernetes](https://kubernetes.io/docs/home/),
kubectl apply -k "github.com/kubeflow/pipelines/manifests/kustomize/env/dev?ref=$PIPELINE_VERSION" kubectl apply -k "github.com/kubeflow/pipelines/manifests/kustomize/env/dev?ref=$PIPELINE_VERSION"
``` ```
The Kubeflow Pipelines deployment requires approximately 3 minutes to complete. The Kubeflow Pipelines deployment requires approximately 3 minutes to complete.
2. Run the following to port-forward the Kubeflow Pipelines UI:
```
kubectl port-forward -n kubeflow svc/ml-pipeline-ui 8080:80
```
3. Open http://localhost:8080 on your browser to see the Kubeflow Pipelines UI.