c3fe9d85ef
Fix 19 typos, grammatical errors and duplicated words. These fixes have minimal impact on the code as these are either in the doc files or in comments inside the code files. Signed-off-by: Abdur Rehman <abdur_rehman@mentor.com> |
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images | ||
README.md | ||
checkpoint-restore.md | ||
docker-stacks-and-bundles.md | ||
vlan-networks.md |
README.md
Docker Experimental Features
This page contains a list of features in the Docker engine which are experimental. Experimental features are not ready for production. They are provided for test and evaluation in your sandbox environments.
The information below describes each feature and the GitHub pull requests and issues associated with it. If necessary, links are provided to additional documentation on an issue. As an active Docker user and community member, please feel free to provide any feedback on these features you wish.
Use Docker experimental
Experimental features are now included in the standard Docker binaries as of
version 1.13.0.
To enable experimental features, start the Docker daemon with the
--experimental
flag or enable the daemon flag in the
/etc/docker/daemon.json
configuration file:
{
"experimental": true
}
You can check to see if experimental features are enabled on a running daemon using the following command:
$ docker version -f '{{.Server.Experimental}}'
true
Current experimental features
Docker service logs command to view logs for a Docker service. This is needed in Swarm mode. Option to squash image layers to the base image after successful builds. Checkpoint and restore support for Containers. Metrics (Prometheus) output for basic container, image, and daemon operations.
- The top-level docker deploy command. The
docker stack deploy
command is not experimental. - External graphdriver plugins
- Ipvlan Network Drivers
- Distributed Application Bundles
- Checkpoint & Restore
- Docker build with --squash argument
How to comment on an experimental feature
Each feature's documentation includes a list of proposal pull requests or PRs associated with the feature. If you want to comment on or suggest a change to a feature, please add it to the existing feature PR.
Issues or problems with a feature? Inquire for help on the #docker
IRC channel or on the Docker Google group.