yeasy/kafka repository overview

⁠Apache Kafka

Docker images for Apache Kafka⁠.

If you wanna create a kafka MVP quickly, go to Kafka compose file⁠.

⁠Supported tags and respective Dockerfile links

• latest (latest/Dockerfile)⁠: Tracking latest release.
• 2.13-2.4.0 (2.13-2.4.0/Dockerfile)⁠: Build for the 2.13-2.4.0 release.
• 0.11.0.1 (0.11.0.1/Dockerfile)⁠: Build for the 0.11.0.1 release.

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

⁠What is docker-kafka?

Docker image with kafka.

⁠How to use this image?

The docker image is auto built at https://registry.hub.docker.com/u/yeasy/kafka/⁠.

⁠In Dockerfile

FROM yeasy/kafka:latest

⁠Local development

$ docker run yeasy/kafka

⁠Which image is based on?

The image is built based on anapsix/alpine-java⁠ image.

⁠What has been changed?

⁠Install kafka

Download and install kafka.

⁠Config

Config kafka home ($KAFKA_HOME) to /opt/kafka, and add kafka bin to the $PATH.

⁠Workdir

The workdir is set to $KAFKA_HOME.

⁠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.