Supported tags and respective
Where to file issues:
For issues with Elasticsearch Docker Image: https://github.com/elastic/elasticsearch-docker/issues
For issues with Elasticsearch: https://github.com/elastic/elasticsearch/issues
the Elastic Team
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)
What is Elasticsearch?
Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.
For more information about Elasticsearch, please visit www.elastic.co/products/elasticsearch
About This Image
This default distribution is governed by the Elastic License, and includes the full set of free features.
View the detailed release notes here.
Not the version you're looking for? View all supported past releases.
How to use this image
Note: Pulling an images requires using a specific version number tag. The
latest tag is not supported.
For Elasticsearch versions prior to 6.4.0 a full list of images, tags, and documentation can be found at docker.elastic.co.
For full Elasticsearch documentation see here.
The commands below are intended for deploying in a development context only. For production installation and configuration, see Install Elasticsearch with Docker.
Running in Development Mode
Create user defined network (useful for connecting to other services attached to the same network (e.g. Kibana)):
$ docker network create somenetwork
$ docker run -d --name elasticsearch --net somenetwork -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" elasticsearch:tag
Running in Production Mode
elasticsearch images come in many flavors, each designed for a specific use case.
This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of.
This image is based on the popular Alpine Linux project, available in the
alpine official image. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.
This variant is highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn't have an issue with this, so this variant is usually a very safe choice. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.
To minimize image size, it's uncommon for additional related tools (such as
bash) to be included in Alpine-based images. Using this image as a base, add the things you need in your own Dockerfile (see the
alpine image description for examples of how to install packages if you are unfamiliar).
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
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.