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This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
To export all the dashboards for any Elastic Beat or any community Beat, including any new or modified dashboards and all dependencies such as
visualizations, searches, you can use the Python script
dev-tools. See the dev-tools
readme for more info.
You can make use of the Makefile from the Beat GitHub repository to export all the Kibana dashboards for a Beat from your Elasticsearch. If Elasticsearch is running on localhost, then you just need to run the following command from the Beat repository:
If Elasticsearch is running on a different host, then you can use the
ES_URL="http://192.168.3.206:9200" make export-dashboards
To export only some Kibana dashboards for an Elastic Beat or community Beat, you can simply pass a regular expression to
export_dashboards.py script to match the selected Kibana dashboards.
Before running the
export_dashboards.py script for the first time, you
need to create an environment that contains all the required Python packages.
For example, to export all Kibana dashboards that start with the Packetbeat name:
python ../dev-tools/export_dashboards.py --regex Packetbeat*
To see all the available options, read the descriptions below or run:
python ../dev-tools/export_dashboards.py -h
- The Elasticsearch URL. The default value is http://localhost:9200.
- Regular expression to match all the Kibana dashboards to be exported. This argument is required.
- The Elasticsearch index pattern where Kibana saves its configuration. The default value is
- The output directory where the dashboards and all dependencies will be saved. The default value is
The output directory has the following structure:
output/ index-pattern/ dashboard/ visualization/ search/