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doc(gcp): recommend KFP standalone over marketplace CLI installation (#4508)

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Yuan (Bob) Gong 2020-09-17 12:20:45 +08:00 committed by GitHub
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# Kubeflow Pipelines for GKE Marketplace
Kubeflow Pipelines can be installed using either of the following approaches:
* [Using the Google Cloud Platform Console](#using-install-platform-console)
* [Using the command line](#using-install-command-line)
## <a name="using-install-platform-console"></a>Using the Google Cloud Platform Marketplace
Get up and running with a few clicks! Install this Kubeflow Pipelines app to a
Google Kubernetes Engine cluster using Google Cloud Marketplace. Follow the
[on-screen instructions](https://console.cloud.google.com/marketplace/details/google-cloud-ai-platform/kubeflow-pipelines) and [guide](https://github.com/kubeflow/pipelines/blob/master/manifests/gcp_marketplace/guide.md).
[on-screen instructions](https://console.cloud.google.com/marketplace/details/google-cloud-ai-platform/kubeflow-pipelines) and [Google Cloud AI Platform Pipelines documentation](https://cloud.google.com/ai-platform/pipelines/docs).
## <a name="using-install-command-line"></a>Using the command line
We prefer you use Google Cloud Platform Marketplace UI to deploy the application.
If you want to know how , please follow the [guide](https://github.com/kubeflow/pipelines/blob/master/manifests/gcp_marketplace/cli.md). It's not target for production usage. The tool "mpdev" is for Kubeflow Pipeline developers. We will provide better command line experiences in 2020 Q2/Q3. Please check [Standalone CLI](https://www.kubeflow.org/docs/pipelines/installation/standalone-deployment/) for now on how to install via commandline.
For users, please refer to [Kubeflow Pipelines Standalone](https://www.kubeflow.org/docs/pipelines/installation/standalone-deployment/) on how to install via commandline using kustomize manifests. The installation is almost the same as AI Platform Pipelines.
Refer to the [Installation Options for Kubeflow Pipelines](https://www.kubeflow.org/docs/pipelines/installation/overview/) doc for all installation options and their feature comparison.
## Developement guide
Only for developing AI Platform Pipelines purpose, we have a [CLI installation guide for AI Platform Pipelines](cli.md). It's not suitable for end users. The tool "mpdev" is for Kubeflow Pipeline developers.
This section details how to test your changes before submit codes.
1. Code changes and locally committed

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# Using the command line to deploy the application
## Only For Development
This CLI installation guide is **ONLY** for AI Platform Pipelines development. It's not suitable for users of Kubeflow Pipelines.
For users, please refer to [Kubeflow Pipelines Standalone](https://www.kubeflow.org/docs/pipelines/installation/standalone-deployment/) on how to install via commandline using kustomize manifests. The installation is almost the same as AI Platform Pipelines.
Refer to the [Installation Options for Kubeflow Pipelines](https://www.kubeflow.org/docs/pipelines/installation/overview/) doc for all installation options and their feature comparison.
## Prerequisites
You can use [Google Cloud Shell](https://cloud.google.com/shell/) or a local
workstation to complete these steps.
[![Open in Cloud Shell](http://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/editor?cloudshell_git_repo=https://github.com/kubeflow/pipelines&cloudshell_open_in_editor=README.md&cloudshell_working_dir=manifests/gcp_marketplace)
## Prerequisites
### Set up command-line tools
You'll need the following tools in your development environment. If you are