Explained the various installation options for Kubeflow Pipelines (#1472)

* Created a new section for pipelines installation guides.

* Added an overview of KFP installation options.

* Responded to review comments.

* Responded to further review comments.

content/_redirects

@@ -54,6 +54,9 @@
 # Replaces Pipelines DSL overview with SDK overview
 /docs/pipelines/sdk/dsl-overview/              /docs/pipelines/sdk/sdk-overview/
 
+# Created a new section for pipelines installation.
+/docs/pipelines/standalone-deployment-gcp/    /docs/pipelines/installation/standalone-deployment/
+
 # Removed the downloads page from Reference to Getting Started with Kubeflow
 /docs/reference/downloads/                     /docs/started/getting-started/
 

content/docs/pipelines/installation/_index.md

++++
+title = "Installing Pipelines"
+description = "Options for installing Kubelow Pipelines"
+weight = 15
++++
\ No newline at end of file

content/docs/pipelines/installation/overview.md

++++
+title = "Installation Options for Kubeflow Pipelines"
+description = "Overview of the ways to deploy Kubeflow Pipelines"
+weight = 10
++++
+
+Kubeflow Pipelines offers a few installation options.
+This page describes the options and the features available
+with each option:
+
+* A [standalone](#standalone) Kubeflow Pipelines deployment.
+* Kubeflow Pipelines as [part of a full Kubeflow deployment](#full-kubeflow).
+* **Alpha**: [GCP Hosted ML Pipelines](#marketplace).
+
+<a id="standalone"></a>
+## Kubeflow Pipelines Standalone
+
+Use this option to deploy Kubeflow Pipelines to an on-premises or cloud
+Kubernetes cluster, without the other components of Kubeflow.
+To deploy Kubeflow Pipelines Standalone, you use kustomize manifests only.
+This process makes it simpler to customize your deployment and to integrate
+Kubeflow Pipelines into an existing Kubernetes cluster.
+
+Installation guide
+: [Kubeflow Pipelines Standalone deployment 
+  guide](/docs/pipelines/installation/standalone-deployment/)
+
+Interfaces
+: 
+  * Kubeflow Pipelines UI
+  * Kubeflow Pipelines SDK
+  * Kubeflow Pipelines API
+
+
+Notes on specific features
+: After deployment, your Kubernetes cluster contains Kubeflow Pipelines only. 
+  It does not include the other Kubeflow components. 
+  For example, to use a Jupyter Notebook, you must use a local notebook or a 
+  hosted notebook in a cloud service such as the [AI Platform 
+  Notebooks](https://cloud.google.com/ai-platform/notebooks/docs/).
+
+<a id="full-kubeflow"></a>
+## Full Kubeflow deployment
+
+Use this option to deploy Kubeflow Pipelines to your local machine, on-premises, 
+or to a cloud, as part of a full Kubeflow installation.
+
+Installation guide
+: [Kubeflow installation guide](/docs/started/getting-started/)
+
+Interfaces
+:
+  * Kubeflow UI
+  * Kubeflow Pipelines UI within or outside the Kubeflow UI
+  * Kubeflow Pipelines SDK
+  * Kubeflow Pipelines API
+  * Other Kubeflow APIs
+
+Notes on specific features
+: After deployment, your Kubernetes cluster includes all the 
+  [Kubeflow components](/docs/components/).
+  For example, you can use the Jupyter notebook services 
+  [deployed with Kubeflow](/docs/notebooks/) to create one or more notebook 
+  servers in your Kubeflow cluster.
+
+<a id="marketplace"></a>
+## GCP Hosted ML Pipelines
+
+{{% alert title="Alpha release" color="warning" %}}
+<p>GCP Hosted ML Pipelines is currently in <b>Alpha</b> with 
+  limited support. The Kubeflow team is interested in any feedback you may have,
+  in particular on the usability of the feature. To get access to the Alpha
+  release, email 
+  <a href="mailto:kfp-mkp-alpha-feedback@googlegroups.com">kfp-mkp-alpha-feedback@googlegroups.com</a>.
+  You can raise any issues or discussion items in the
+  <a href="https://github.com/kubeflow/pipelines/issues">Kubeflow Pipelines 
+  issue tracker</a>.</p>
+{{% /alert %}}
+
+Use this option to deploy Kubeflow Pipelines to Google Kubernetes Engine (GKE)
+from GCP Marketplace. You can deploy Kubeflow Pipelines to an existing or new 
+GKE cluster and manage your cluster within GCP.
+
+Installation guide
+: [Deploy Kubeflow Pipelines from Google Cloud
+  Marketplace](https://github.com/kubeflow/pipelines/blob/master/manifests/gcp_marketplace/guide.md)
+
+Interfaces
+: 
+  * GCP Console for managing the Kubeflow Pipelines cluster and other GCP 
+    services.
+  * Kubeflow Pipelines UI via the **Open Pipelines Dashboard** link in the 
+    GCP Console
+  * Kubeflow Pipelines SDK in Cloud Notebooks
+
+
+Notes on specific features
+: After deployment, your Kubernetes cluster contains Kubeflow Pipelines only. 
+  It does not include the other Kubeflow components. 
+  For example, to use a Jupyter Notebook, you can use [AI Platform 
+  Notebooks](https://cloud.google.com/ai-platform/notebooks/docs/).

content/docs/pipelines/standalone-deployment-gcp.md → content/docs/pipelines/installation/standalone-deployment.md

 +++
 title = "Pipelines Standalone Deployment in GCP"
 description = "Instructions to deploy Kubeflow Pipelines standalone to a cluster"
-weight = 15
+weight = 20
 +++
 
 As an alternative to [deploying Kubeflow](/docs/started/getting-started/#installing-kubeflow) as a
@@ -13,6 +13,13 @@ manifests.
 Knowledge about [Kubernetes](https://kubernetes.io/docs/home/), [kubectl](https://kubernetes.io/docs/reference/kubectl/overview/) and [kustomize](https://kustomize.io/) will help you understand this
 document better and be able to customize your deployment based on your needs.
 
+{{% alert title="Installation outside GCP is also available" color="info" %}}
+<p>This guide currently describes how to install Kubeflow Pipelines standalone 
+on Google Cloud Platform (GCP). You can also install Kubeflow Pipelines on other
+platforms. This guide needs updating. See
+<a href="https://github.com/kubeflow/website/issues/1253">issue #1253</a>.</p>
+{{% /alert %}}
+
 ## Common prerequisites
 
 These are common one time setups you need for all the instructions below: