anchor.diff:  ----------------------------------------------------------------------
   
   ==== dir
  -The input directory with the dashboards together with its dependencies. The default value is current directory.
  +The input directory that contains the dashboards and all the dependencies. The default value is the current directory.
   
   ==== url
   The Elasticsearch URL. The default value is http://localhost:9200.
   
   ==== user
  -The username and password for authenticating the connection to Elasticsearch using Basic Authentication. The username and password should be separated by a colon. By default no username and password are used.
  +The username and password for authenticating the connection to Elasticsearch by using Basic Authentication. The username
  +and password should be separated by a colon. By default no username and password are used.
   
   ==== kibana
  -The Elasticsearch index pattern where Kibana saved its configuration. The default value is `.kibana`.
  +The Elasticsearch index pattern where Kibana saves its configuration. The default value is `.kibana`.
   
  +[[export-dashboards]]
  +=== Exporting New and Modified Beat Dashboards
   
  -To import all the dashboards together with  all the dependencies (visualizations, searches and index patterns), you just
  -need to run the following command in the beats repository:
  +To export all the dashboards for a Beat, including any new or modified dashboards and all dependencies such as
  +visualizations, searches, and index patterns, you can use the Python script `export_dashboards.py` from  
  +https://github.com/elastic/beats/tree/master/dev-tools[dev-tools]. Before running the script for the first time, you
  +need to create an environment that contains all the required Python packages. See the dev-tools
  +https://github.com/elastic/beats/tree/master/dev-tools/README.md[readme] for more info.
   
  -On Unix systems:
  +NOTE: Dashboard names must be **prefixed** with the name of the beat in order to work correctly. For example:
  +Topbeat-Dashboard.
  +
  +For example, to export all Packetbeat dashboards, you can run the following command from the `packetbeat` directory in
  +the `beats` repository:
   
   [source,shell]
   ----------------------------------------------------------------------
  -../dev-tools/import_dashboards.sh -dir etc/kibana
  +../dev-tools/export_dashboards.py --beat packetbeat
   ----------------------------------------------------------------------
  -
  -On Windows systems:
  -
  -[source,shell]
  -----------------------------------------------------------------------
  -..\dev-tools\import_dashboards.ps1 -dir .\etc\kibana
  -----------------------------------------------------------------------
  -
  -
  -=== Export the Beat dashboards
  -
  -To export all the dashboards for a Beat together with all dependencies (visualizations, searches and index patterns), 
  -you can use the python script `export_dashboards.py` from 
  -https://github.com/elastic/beats/tree/master/dev-tools[dev-tools].
  -
  -Note: Please, be aware that Dashboard name must be **prefixed** with name of the beat in order to work correctly. Example: Topbeat-Dashboard
   
   The command has the following options:
   
  
positive.code: The Elasticsearch index pattern where the Beat is storing the data. The default value is constructed from the Beat name + `-*` string.
  
  ==== kibana
  The Elasticsearch index pattern where Kibana saved its configuration. The default value is `.kibana`.
  
  ==== dir
  The output directory where to save the dashboards together with its dependencies. The default value is `output`.
  
  For example to export all Packetbeat dashboards, you can run the following command in the `packetbeat` repository:
  
  [source,shell]
  ----------------------------------------------------------------------
  ../dev-tools/export_dashboards.py --beat packetbeat
  ----------------------------------------------------------------------
  
  NOTE:: We have made it even easier for you to import and export the dashboards
  by running the following commands in the Beats repository:
  
  [source,shell]
  ----------------------------------------------------------------------
  make import-dashboards
  ----------------------------------------------------------------------
  
  [source,shell]
  ----------------------------------------------------------------------
  make export-dashboards
  ----------------------------------------------------------------------
  
  
negative.code: 
  The Kibana dashboards together with its dependencies are saved into a
  special index pattern in Elasticsearch (by default .kibana), so you need to
  specify the Elasticsearch URL and optionally a username and password.
  
  Usage:
    import_dashboards.sh -url http://localhost:9200 -user admin:secret -index .kibana
  