Kibana

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Kibana gives shape to any kind of data — structured and unstructured — indexed in Elasticsearch.

GitHub repo: https://github.com/docker-library/kibana

Library reference

This content is imported from the official Docker Library docs, and is provided by the original uploader. You can view the Docker Store page for this repo at https://store.docker.com/images/kibana.

DEPRECATED

This image is officially deprecated in favor of the kibana image provided by elastic.co which is available to pull via docker.elastic.co/kibana/kibana:[version] like 5.2.1. This image will receive no further updates after 2017-06-20 (June 20, 2017). Please adjust your usage accordingly.

Elastic provides open-source support for Kibana via the elastic/kibana GitHub repository and the Docker image via the elastic/kibana-docker GitHub repository, as well as community support via its forums.

Supported tags and respective Dockerfile links

For detailed information about the published artifacts of each of the above supported tags (image metadata, transfer size, etc), please see the repos/kibana directory in the docker-library/repo-info GitHub repo.

For more information about this image and its history, please see the relevant manifest file (library/kibana). This image is updated via pull requests to the docker-library/official-images GitHub repo.

What is Kibana?

Kibana is an open source data visualization plugin for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data.

Kibana is a registered trademark of Elasticsearch BV.

wikipedia.org/wiki/Kibana

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How to use this image

You can run the default kibana command simply:

$ docker run --link some-elasticsearch:elasticsearch -d kibana

You can also pass in additional flags to kibana:

$ docker run --link some-elasticsearch:elasticsearch -d kibana --plugins /somewhere/else

This image includes EXPOSE 5601 (default port). If you’d like to be able to access the instance from the host without the container’s IP, standard port mappings can be used:

$ docker run --name some-kibana --link some-elasticsearch:elasticsearch -p 5601:5601 -d kibana

You can also provide the address of elasticsearch via ELASTICSEARCH_URL environnement variable:

$ docker run --name some-kibana -e ELASTICSEARCH_URL=http://some-elasticsearch:9200 -p 5601:5601 -d kibana

Then, access it via http://localhost:5601 or http://host-ip:5601 in a browser.

License

View license information for the software contained in this image.

Supported Docker versions

This image is officially supported on Docker version 17.04.0-ce.

Support for older versions (down to 1.6) is provided on a best-effort basis.

Please see the Docker installation documentation for details on how to upgrade your Docker daemon.

User Feedback

Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue. If the issue is related to a CVE, please check for a cve-tracker issue on the official-images repository first.

You can also reach many of the official image maintainers via the #docker-library IRC channel on Freenode.

Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, we recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.

Documentation

Documentation for this image is stored in the kibana/ directory of the docker-library/docs GitHub repo. Be sure to familiarize yourself with the repository’s README.md file before attempting a pull request.

library, sample, Kibana, Elasticsearch