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 image at https://store.docker.com/images/kibana

DEPRECATION NOTICE

This image has been deprecated in favor of the official kibana image provided and maintained by elastic.co. The list of images available from Elastic can be found at www.docker.elastic.co. The images found here will receive no further updates once the 6.0.0 release is available upstream. 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

Quick reference

Where to get help:
the Docker Community Forums, the Docker Community Slack, or Stack Overflow
Where to file issues:
https://github.com/docker-library/kibana/issues
Maintained by:
the Docker Community
Supported architectures: (more info)
amd64
Published image artifact details:
repo-info repo’s repos/kibana/ directory (history)
(image metadata, transfer size, etc)
Image updates:
official-images PRs with label library/kibana
official-images repo’s library/kibana file (history)
Source of this description:
docs repo’s kibana/ directory (history)
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)

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

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.

… via `docker stack deploy` or `docker-compose`

Example stack.yml for kibana:

version: '3.1'

services:

    kibana:
        image: kibana
        ports:
            - 5601:5601

    elasticsearch:
        image: elasticsearch

Run docker stack deploy -c stack.yml kibana (or docker-compose -f stack.yml up), wait for it to initialize completely, and visit http://swarm-ip:5601, http://localhost:5601, or http://host-ip:5601 (as appropriate).

License

View license information for the software contained in this image.

As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).

Some additional license information which was able to be auto-detected might be found in the repo-info repository’s kibana/ directory.

As for any pre-built image usage, it is the image user’s responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.

library, sample, kibana