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yeasy / docker-hyperledger-fabric-base

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Docker image for Hyperledger Fabric Base

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Hyperledger Fabric Base

Docker images for Hyperledger Fabric base image.

Supported tags and respective Dockerfile links

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

If you want to quickly deploy a local cluster without any configuration and vagrant, please refer to Start hyperledger cluster using compose.

What is hyperledger-fabric-base?

Docker image with hyperledger fabric base, which will be utilized as the base to build peer and orderer, and the chaincode running environment.

How to use this image?

The docker image is auto built at https://registry.hub.docker.com/u/yeasy/hyperledger-fabric-base/.

In Dockerfile

FROM yeasy/hyperledger-fabric-base:latest

Which image is based on?

The image is built based on golang 1.8 image.

What has been changed?

install dependencies

Install required libsnappy-dev, zlib1g-dev, libbz2-dev.

clone fabric code

Clone the fabric code from repo.

install tools

Install required tools like chaintools, go tools, cryptogen, configtxgen, configtxlator.

Supported Docker versions

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.

Known Issues

  • N/A.

User Feedback

Documentation

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

Issues

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.

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.

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