Docker images for IPFS Node.

• latest (latest/Dockerfile): Default to track latest master branch.

For more information about this image and its history, please see the relevant manifest file in the yeasy/docker-ipfs GitHub repo.

If you want to quickly test its features, please refer to IPFS Getting Started.

Docker image with IPFS, can be used as an indivual node.

The docker image is auto built at https://registry.hub.docker.com/u/yeasy/ipfs/. The data will be stored to ~/.ipfs of the container by default.

FROM yeasy/ipfs:latest

By default, the cmd will start a ipfs daemon node.

$ docker run -it \
        --name ipfs \
        -p 4001:4001 \
        -p 5002:5002 \
        -p 8080:8080 \
        yeasy/ipfs
After the daemon start up, can explore through a [web ui](https://localhost:5002/webui), or test with entering the container
```bash
$ docker exec -it ipfs bash # enter container
$ ipfs id # check your node's ID
$ ipfs swarm peers # check your peers in the network

$ hash=`ipfs add some-file` # add some file into ipfs
$ ipfs ls ${hash}  # list file based on hash
$ curl "https://ipfs.io/ipfs/$hash" > localfile

$ ipfs cat /ipfs/QmYwAPJzv5CZsnA625s3Xf2nemtYgPpHdWEz79ojWnPbdG/quick-start # check out the quick start

The image is built based on golang 1.11 image.

Use to manage the ipfs binary.

Main binary to run the service.

Expose all ports to public.

This image is officially supported on Docker version 1.7.0+.

Support for older versions (down to 1.0) is provided on a best-effort basis.

• N/A.

Be sure to familiarize yourself with the repository's README.md file before attempting a pull request.

If you have any problems with or questions about this image, please contact us through a GitHub issue.

You can also reach many of the official image maintainers via the email.

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.