Public | Automated Build

Last pushed: 2 years ago
Short Description
A build of Kafka 0.10.x.x from a fork of
Full Description

Kafka in Docker

This repository provides everything you need to run Kafka in Docker.

For convenience also contains a packaged proxy that can be used to get data from
a legacy Kafka 7 cluster into a dockerized Kafka 8.


The main hurdle of running Kafka in Docker is that it depends on Zookeeper.
Compared to other Kafka docker images, this one runs both Zookeeper and Kafka
in the same container. This means:

  • No dependency on an external Zookeeper host, or linking to another container
  • Zookeeper and Kafka are configured to work together out of the box


docker run -p 2181:2181 -p 9092:9092 --env ADVERTISED_HOST=`docker-machine ip \`docker-machine active\`` --env ADVERTISED_PORT=9092 spotify/kafka
export KAFKA=`docker-machine ip \`docker-machine active\``:9092 --broker-list $KAFKA --topic test
export ZOOKEEPER=`docker-machine ip \`docker-machine active\``:2181 --zookeeper $ZOOKEEPER --topic test

Running the proxy

Take the same parameters as the spotify/kafka image with some new ones:

  • CONSUMER_THREADS - the number of threads to consume the source kafka 7 with
  • TOPICS - whitelist of topics to mirror
  • ZK_CONNECT - the zookeeper connect string of the source kafka 7
  • GROUP_ID - the to use when consuming from kafka 7
docker run -p 2181:2181 -p 9092:9092 \
    --env ADVERTISED_HOST=`boot2docker ip` \
    --env ADVERTISED_PORT=9092 \
    --env CONSUMER_THREADS=1 \
    --env TOPICS=my-topic,some-other-topic \
    --env ZK_CONNECT=kafka7zookeeper:2181/root/path \
    --env GROUP_ID=mymirror \

In the box

  • spotify/kafka

    The docker image with both Kafka and Zookeeper. Built from the kafka

  • spotify/kafkaproxy

    The docker image with Kafka, Zookeeper and a Kafka 7 proxy that can be
    configured with a set of topics to mirror.

Public Builds

Build from Source

docker build -t spotify/kafka kafka/
docker build -t spotify/kafkaproxy kafkaproxy/


  • Not particularily optimzed for startup time.
  • Better docs
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