[SPARK-18278][SCHEDULER] Documentation to point to Kubernetes cluster scheduler

## What changes were proposed in this pull request?

Adding documentation to point to Kubernetes cluster scheduler being developed out-of-repo in https://github.com/apache-spark-on-k8s/spark
cc rxin srowen tnachen ash211 mccheah erikerlandson

## How was this patch tested?

Docs only change

Author: Anirudh Ramanathan <foxish@users.noreply.github.com>
Author: foxish <ramanathana@google.com>

Closes #17522 from foxish/upstream-doc.

docs/cluster-overview.md

@@ -52,7 +52,11 @@ The system currently supports three cluster managers:
 * [Apache Mesos](running-on-mesos.html) -- a general cluster manager that can also run Hadoop MapReduce
   and service applications.
 * [Hadoop YARN](running-on-yarn.html) -- the resource manager in Hadoop 2.
-
+* [Kubernetes (experimental)](https://github.com/apache-spark-on-k8s/spark) -- In addition to the above,
+there is experimental support for Kubernetes. Kubernetes is an open-source platform
+for providing container-centric infrastructure. Kubernetes support is being actively
+developed in an [apache-spark-on-k8s](https://github.com/apache-spark-on-k8s/) Github organization. 
+For documentation, refer to that project's README.
 
 # Submitting Applications
 

docs/index.md

@@ -115,6 +115,7 @@ options for deployment:
   * [Mesos](running-on-mesos.html): deploy a private cluster using
       [Apache Mesos](http://mesos.apache.org)
   * [YARN](running-on-yarn.html): deploy Spark on top of Hadoop NextGen (YARN)
+  * [Kubernetes (experimental)](https://github.com/apache-spark-on-k8s/spark): deploy Spark on top of Kubernetes
 
 **Other Documents:**