Added instructions for installing Pipelines. (#3793)

Signed-off-by: hbelmiro <[email protected]>

content/en/docs/components/pipelines/concepts/pipeline-root.md

@@ -5,7 +5,7 @@ weight = 15
 
 +++
 
-Starting from [Kubeflow Pipelines SDK v2](https://kubeflow-pipelines.readthedocs.io/en/stable/) and Kubeflow Pipelines v2, Kubeflow Pipelines supports a new intermediate artifact repository feature: pipeline root in both [standalone deployment](/docs/components/pipelines/legacy-v1/installation/standalone-deployment/) and [AI Platform Pipelines](https://cloud.google.com/ai-platform/pipelines/docs).
+Starting from [Kubeflow Pipelines SDK v2](https://kubeflow-pipelines.readthedocs.io/en/stable/) and Kubeflow Pipelines v2, Kubeflow Pipelines supports a new intermediate artifact repository feature: pipeline root in both [standalone deployment](/docs/components/pipelines/operator-guides/installation/) and [AI Platform Pipelines](https://cloud.google.com/ai-platform/pipelines/docs).
 
 ## Before you start
 This guide tells you the basic concepts of Kubeflow Pipelines pipeline root and how to use it.

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

@@ -1,11 +1,27 @@
 +++
 title = "Installation"
-description = "Options for deploying Kubeflow Pipelines"
 weight = 1
 +++
 
 {{% kfp-v2-keywords %}}
 
-This page will be available soon. For similar information, see [KFP v1 installation documentation][v1-installation].
+As an alternative to deploying Kubeflow Pipelines (KFP) as part of the
+[Kubeflow deployment](/docs/started/#installing-kubeflow), you also have a choice
+to deploy only Kubeflow Pipelines. Follow the instructions below to deploy
+Kubeflow Pipelines standalone using the supplied kustomize manifests.
 
-[v1-installation]: /docs/components/pipelines/legacy-v1/installation/
+You should be familiar with [Kubernetes](https://kubernetes.io/docs/home/),
+[kubectl](https://kubernetes.io/docs/reference/kubectl/overview/), and [kustomize](https://kustomize.io/).
+
+## Deploying Kubeflow Pipelines
+
+1. Deploy the Kubeflow Pipelines:
+
+     ```
+     export PIPELINE_VERSION={{% pipelines/latest-version %}}
+     kubectl apply -k "github.com/kubeflow/pipelines/manifests/kustomize/cluster-scoped-resources?ref=$PIPELINE_VERSION"
+     kubectl wait --for condition=established --timeout=60s crd/applications.app.k8s.io
+     kubectl apply -k "github.com/kubeflow/pipelines/manifests/kustomize/env/dev?ref=$PIPELINE_VERSION"
+     ```
+
+     The Kubeflow Pipelines deployment requires approximately 3 minutes to complete.

content/en/docs/components/pipelines/user-guides/core-functions/connect-api.md

@@ -309,7 +309,7 @@ This information only applies to _Standalone Kubeflow Pipelines_.
 When running inside the Kubernetes cluster, you may connect Pipelines SDK directly to the `ml-pipeline-ui` service via [cluster-internal service DNS resolution](https://kubernetes.io/docs/concepts/services-networking/service/#discovering-services).
 
 {{% alert title="Tip" color="info" %}}
-In [standalone deployments](/docs/components/pipelines/legacy-v1/installation/standalone-deployment/) of Kubeflow Pipelines, there is no authentication enforced on the `ml-pipeline-ui` service.
+In [standalone deployments](/docs/components/pipelines/operator-guides/installation/) of Kubeflow Pipelines, there is no authentication enforced on the `ml-pipeline-ui` service.
 {{% /alert %}}
 
 For example, when running in the __same namespace__ as Kubeflow:
@@ -350,7 +350,7 @@ This information only applies to _Standalone Kubeflow Pipelines_.
 When running outside the Kubernetes cluster, you may connect Pipelines SDK to the `ml-pipeline-ui` service by using [kubectl port-forwarding](https://kubernetes.io/docs/tasks/access-application-cluster/port-forward-access-application-cluster/).
 
 {{% alert title="Tip" color="info" %}}
-In [standalone deployments](/docs/components/pipelines/legacy-v1/installation/standalone-deployment/) of Kubeflow Pipelines, there is no authentication enforced on the `ml-pipeline-ui` service.
+In [standalone deployments](/docs/components/pipelines/operator-guides/installation/) of Kubeflow Pipelines, there is no authentication enforced on the `ml-pipeline-ui` service.
 {{% /alert %}}
 
 __Step 1:__ run the following command on your external system to initiate port-forwarding: