Review comments

Author: foxish

docs/running-on-kubernetes.md

@@ -111,7 +111,7 @@ This URI is the location of the example jar that is already in the Docker image.
 
 ## Dependency Management
 
-If your application's dependencies are all hosted in remote locations like HDFS or http servers, they may be referred to
+If your application's dependencies are all hosted in remote locations like HDFS or HTTP servers, they may be referred to
 by their appropriate remote URIs. Also, application dependencies can be pre-mounted into custom-built Docker images.
 Those dependencies can be added to the classpath by referencing them with `local://` URIs and/or setting the
 `SPARK_EXTRA_CLASSPATH` environment variable in your Dockerfiles.

docs/running-on-yarn.md

@@ -18,7 +18,7 @@ Spark application's configuration (driver, executors, and the AM when running in
 
 There are two deploy modes that can be used to launch Spark applications on YARN. In `cluster` mode, the Spark driver runs inside an application master process which is managed by YARN on the cluster, and the client can go away after initiating the application. In `client` mode, the driver runs in the client process, and the application master is only used for requesting resources from YARN.
 
-Unlike [Spark standalone](spark-standalone.html), [Mesos](running-on-mesos.html) and [Kubernetes](running-on-kubernetes.html) modes,
+Unlike other cluster managers supported by Spark
 in which the master's address is specified in the `--master` parameter, in YARN mode the ResourceManager's address is picked up from the Hadoop configuration. Thus, the `--master` parameter is `yarn`.
 
 To launch a Spark application in `cluster` mode: