Adjusted page front matter for the 'Getting Started' section.

sarahmaddox · Dec 3, 2018 · 9920cb8 · 9920cb8
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diff --git a/content/docs/started/getting-started-gke.md b/content/docs/started/getting-started-gke.md
@@ -1,15 +1,12 @@
 +++
 title = "Kubernetes Engine for Kubeflow"
 description = "Get Kubeflow running on Google Cloud Platform"
-weight = 10
-toc = true
-bref = "This guide is a quickstart to deploying Kubeflow on Google Kubernetes Engine (GKE)."
-
-[menu.docs]
-  parent = "started"
-  weight = 3
+weight = 3
 +++
 
+This guide is a quickstart to deploying Kubeflow on Google Kubernetes Engine 
+(GKE).
+
 ## Advantages of Kubeflow on GKE
 
 Running Kubeflow on [GKE](https://cloud.google.com/kubernetes-engine/docs)

diff --git a/content/docs/started/getting-started-minikube.md b/content/docs/started/getting-started-minikube.md
@@ -1,14 +1,13 @@
 +++
 title = "Minikube for Kubeflow"
 description = "Quickly get Kubeflow running locally"
-weight = 10
-toc = true
-bref = "This document will outline steps that will get your local installation of Kubeflow running on top of Mikikube. Minikube runs a simple, single-node Kubernetes cluster inside a virtual machine (VM)."
-[menu.docs]
-  parent = "started"
-  weight = 2
+weight = 2
 +++
 
+This document outlines the steps you can  take to get your local installation 
+of Kubeflow running on top of Minikube. Minikube runs a simple, single-node 
+Kubernetes cluster inside a virtual machine (VM).
+
 By the end of this document, you'll have a local installation of Minikube kubernetes cluster along with all the default core components of
 Kubeflow deployed as services in the pods. You should be able to access JupyterHub notebooks, and the Kubeflow Dashboard.
 

diff --git a/content/docs/started/getting-started-multipass.md b/content/docs/started/getting-started-multipass.md
@@ -1,14 +1,14 @@
 +++
 title = "Microk8s for Kubeflow"
 description = "Quickly get Kubeflow running locally on native hypervisors"
-weight = 10
-toc = true
-bref = "This document will outline steps that will get your local installation of Kubeflow running on top of Microk8s inside of a native Hypervisor. Multipass is used to create a the native VM. Microk8s is used to provide a simple, single-node Kubernetes cluster."
-[menu.docs]
-  parent = "started"
-  weight = 2
+weight = 2
 +++
 
+This document outlines the steps that you can take to get your local 
+installation of Kubeflow running on top of Microk8s inside of a native 
+Hypervisor. Multipass is used to create a the native VM. Microk8s is used to 
+provide a simple, single-node Kubernetes cluster.
+
 By the end of this document, you'll have a local installation of a Kubernetes cluster along with all the default core components of Kubeflow deployed as services in the pods. You should be able to access JupyterHub notebooks, and the Kubeflow Dashboard.
 
 ### Install Multipass

diff --git a/content/docs/started/getting-started.md b/content/docs/started/getting-started.md
@@ -1,13 +1,7 @@
 +++
 title = "Getting Started with Kubeflow"
 description = "Quickly get running with your ML Workflow on an existing Kubernetes installation"
-weight = 25
-toc = true
-bref = "The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow."
-aliases = ["/docs/started/"]
-[menu.docs]
-  parent = "started"
-  weight = 1
+weight = 1
 +++
 
 ## Who should consider using Kubeflow?