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add links to install tools, getting started (#893)

* add links to install tools

- add links to install tools, getting started
- remove kfctl release page from reference

* add redirect for downloads page
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kbhawkey authored and k8s-ci-robot committed Jul 11, 2019
1 parent c567ee7 commit 1aa6a1d49b8f508e52978bd8e2f45b603e437249
Showing with 18 additions and 26 deletions.
  1. +3 −0 content/_redirects
  2. +0 −20 content/docs/reference/downloads.md
  3. +15 −6 content/docs/started/getting-started.md
@@ -51,3 +51,6 @@

# Replaces Pipelines DSL overview with SDK overview
/docs/pipelines/sdk/dsl-overview/ /docs/pipelines/sdk/sdk-overview/

# Removed the downloads page from Reference to Getting Started with Kubeflow
/docs/reference/downloads/ /docs/started/getting-started/

This file was deleted.

@@ -13,12 +13,12 @@ to suit your environment (cloud, on premises (on prem), or local):
follow the [AWS deployment guide](/docs/aws/deploy/).
* To use Kubeflow on Microsoft Azure Kubernetes Service (AKS),
follow the [AKS deployment guide](/docs/azure/deploy/).
* To use Kubeflow on IBM Cloud Private (ICP),
* To use Kubeflow on IBM Cloud Private (ICP),
follow the [ICP deployment guide](/docs/started/getting-started-icp/).
* If you have an existing Kubernetes cluster or want to use Kubeflow on prem,
follow the [guide to deploying Kubeflow on
follow the [guide to deploying Kubeflow on
Kubernetes](/docs/started/getting-started-k8s/).
* If you want to run Kubernetes locally in a virtual machine (VM), choose one of
* If you want to run Kubernetes locally in a virtual machine (VM), choose one of
the following options:

* [MiniKF setup](/docs/started/getting-started-minikf/)
@@ -28,7 +28,7 @@ to suit your environment (cloud, on premises (on prem), or local):
* MiniKF runs on all major operating systems (Linux, macOS, Windows).

* [Minikube setup](/docs/started/getting-started-minikube/)
* Minikube uses virtualization applications like
* Minikube uses virtualization applications like
[VirtualBox](https://www.virtualbox.org/) or [VMware
Fusion](https://www.vmware.com/products/fusion.html) to host the VM
and provides a CLI that you can use outside the VM.
@@ -62,15 +62,24 @@ to suit your environment (cloud, on premises (on prem), or local):
QEMU/KVM for Linux).
- No need to install a separate virtualization application.
- Use of `cloud-init` to customize the VM.


## Installing command line tools

* Download the `kfctl` command line interface from the
[Kubeflow releases page](https://github.com/kubeflow/kubeflow/releases/).

* Follow the `kubectl` installation and setup from the [Kubernetes documentation](https://kubernetes.io/docs/tasks/tools/install-kubectl/).

* Download the `kustomize` command line interface from the [kustomize release page](https://github.com/kubernetes-sigs/kustomize/releases/).

## Troubleshooting

See the [Kubeflow troubleshooting guide](/docs/other-guides/troubleshooting/).

## Next steps

* See the [documentation](/docs/) for in-depth instructions on using Kubeflow.
* Build machine-learning pipelines with the [Kubeflow Pipelines
* Build machine-learning pipelines with the [Kubeflow Pipelines
SDK](/docs/pipelines/sdk/sdk-overview/).
* Explore the self-paced scenarios for learning and trying out Kubeflow:
* [Codelabs](https://codelabs.developers.google.com/?cat=tensorflow)

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