Clustered Deployment Using SASL and SSL

In this section, we provide a tutorial for running a secure three-node Kafka cluster and ZooKeeper ensemble with SASL. By the end of this tutorial, you will have successfully installed and run a simple deployment with SSL and SASL security enabled on Docker. If you’re looking for a simpler tutorial, please refer to our quick start guide, which is limited to a single node Kafka cluster.

Note

It is worth noting that we will be configuring Kafka and ZooKeeper to store secrets locally in the Docker containers. For production deployments (or generally whenever you care about not losing data), you should use mounted volumes for persisting data in the event that a container stops running or is restarted. This is important when running a system like Kafka on Docker, as it relies heavily on the filesystem for storing and caching messages. Refer to our documentation on Docker external volumes for an example of how to add mounted volumes to the host machine.

Installing & Running Docker

For this tutorial, we’ll run Docker using the Docker client. If you are interested in information on using Docker Compose to run the images, skip to the bottom of this guide.

To get started, you’ll need to first install Docker and get it running. The Confluent Platform Docker Images require Docker version 1.11 or greater.

Docker Client: Setting Up a Three Node Kafka Cluster

If you’re running on Windows or Mac OS X, you’ll need to use Docker Machine to start the Docker host. Docker runs natively on Linux, so the Docker host will be your local machine if you go that route. If you are running on Mac or Windows, be sure to allocate at least 4 GB of ram to the Docker Machine.

Now that we have all of the Docker dependencies installed, we can create a Docker machine and begin starting up Confluent Platform.

Note

In the following steps we’ll be running each Docker container in detached mode. However, we’ll also demonstrate how access the logs for a running container. If you prefer to run the containers in the foreground, you can do so by replacing the -d flags with --it.

  1. Create and configure the Docker machine. If you are running a docker-machine VM in the cloud like AWS, then you will need to SSH into the VM and run these commands. You may need to run them as root.
docker-machine create --driver virtualbox --virtualbox-memory 6000 confluent

Next, configure your terminal window to attach it to your new Docker Machine:

eval $(docker-machine env confluent)
  1. Clone the git repository:
git clone https://github.com/confluentinc/cp-docker-images
cd cp-docker-images
  1. Generate Credentials

You will need to generate CA certificates (or use yours if you already have one) and then generate keystore and truststore for brokers and clients. You can use the create-certs.sh script in examples/kafka-cluster-sasl/secrets to generate them. For production, please use these scripts for generating certificates : https://github.com/confluentinc/confluent-platform-security-tools

For this example, we will use the create-certs.sh available in the examples/kafka-cluster-sasl/secrets directory in cp-docker-images. See “security” section for more details on security. Make sure that you have OpenSSL and JDK installed.

cd $(pwd)/examples/kafka-cluster-sasl/secrets
./create-certs.sh
(Type yes for all "Trust this certificate? [no]:" prompts.)
cd -

Set the environment variable for secrets directory. We will use this later in our commands. Make sure you are in the cp-docker-images directory.

export KAFKA_SASL_SECRETS_DIR=$(pwd)/examples/kafka-cluster-sasl/secrets

To configure SASL, all your nodes will need to have a proper hostname. It is not advisable to use localhost as the hostname.

We need to create an entry in /etc/hosts with hostname quickstart.confluent.io that points to eth0 IP. In Linux, run the below commands on the Linux host. If running Docker Machine (eg for Mac or Windows), you will need to SSH into the VM and run the below commands as root. You can SSH into the Docker Machine VM by running docker-machine ssh confluent.

export ETH0_IP=$(ifconfig eth0 | grep 'inet addr:' | cut -d: -f2 | awk '{ print $1}')

echo ${ETH0_IP} quickstart.confluent.io >> /etc/hosts
  1. Build and run the kerberos image
cd tests/images/kerberos
docker build -t confluentinc/cp-kerberos:4.0.0 .

docker run -d \
  --name=kerberos \
  --net=host \
  -v ${KAFKA_SASL_SECRETS_DIR}:/tmp/keytab \
  -v /dev/urandom:/dev/random \
  confluentinc/cp-kerberos:4.0.0
  1. Create the principals and keytabs.
for principal in zookeeper1 zookeeper2 zookeeper3
do
  docker exec -it kerberos kadmin.local -q "addprinc -randkey zookeeper/[email protected]"
  docker exec -it kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab zookeeper/[email protected]"
done

for principal in zkclient1 zkclient2 zkclient3
do
  docker exec -it kerberos kadmin.local -q "addprinc -randkey zkclient/[email protected]"
  docker exec -it kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab zkclient/[email protected]"
done

For Kafka brokers, the principal should be called kafka.

for principal in broker1 broker2 broker3
do
  docker exec -it kerberos kadmin.local -q "addprinc -randkey kafka/[email protected]"
  docker exec -it kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab kafka/[email protected]"
done

for principal in saslproducer saslconsumer
do
  docker exec -it kerberos kadmin.local -q "addprinc -randkey ${principal}/[email protected]"
  docker exec -it kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab ${principal}/[email protected]"
done

  1. Run a 3-node ZooKeeper ensemble with SASL enabled.

    docker run -d \
    --net=host \
    --name=zk-sasl-1 \
    -e ZOOKEEPER_SERVER_ID=1 \
    -e ZOOKEEPER_CLIENT_PORT=22181 \
    -e ZOOKEEPER_TICK_TIME=2000 \
    -e ZOOKEEPER_INIT_LIMIT=5 \
    -e ZOOKEEPER_SYNC_LIMIT=2 \
    -e ZOOKEEPER_SERVERS="quickstart.confluent.io:22888:23888;quickstart.confluent.io:32888:33888;quickstart.confluent.io:42888:43888" \
    -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/zookeeper_1_jaas.conf  -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dzookeeper.authProvider.1=org.apache.zookeeper.server.auth.SASLAuthenticationProvider -Dsun.security.krb5.debug=true" \
    -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
    confluentinc/cp-zookeeper:4.0.0

docker run -d \
    --net=host \
    --name=zk-sasl-2 \
    -e ZOOKEEPER_SERVER_ID=2 \
    -e ZOOKEEPER_CLIENT_PORT=32181 \
    -e ZOOKEEPER_TICK_TIME=2000 \
    -e ZOOKEEPER_INIT_LIMIT=5 \
    -e ZOOKEEPER_SYNC_LIMIT=2 \
    -e ZOOKEEPER_SERVERS="quickstart.confluent.io:22888:23888;quickstart.confluent.io:32888:33888;quickstart.confluent.io:42888:43888" \
    -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/zookeeper_2_jaas.conf  -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf  -Dzookeeper.authProvider.1=org.apache.zookeeper.server.auth.SASLAuthenticationProvider -Dsun.security.krb5.debug=true" \
    -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
    confluentinc/cp-zookeeper:4.0.0

docker run -d \
    --net=host \
    --name=zk-sasl-3 \
    -e ZOOKEEPER_SERVER_ID=3 \
    -e ZOOKEEPER_CLIENT_PORT=42181 \
    -e ZOOKEEPER_TICK_TIME=2000 \
    -e ZOOKEEPER_INIT_LIMIT=5 \
    -e ZOOKEEPER_SYNC_LIMIT=2 \
    -e ZOOKEEPER_SERVERS="quickstart.confluent.io:22888:23888;quickstart.confluent.io:32888:33888;quickstart.confluent.io:42888:43888" \
    -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/zookeeper_3_jaas.conf  -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf  -Dzookeeper.authProvider.1=org.apache.zookeeper.server.auth.SASLAuthenticationProvider -Dsun.security.krb5.debug=true" \
    -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
    confluentinc/cp-zookeeper:4.0.0

Check the logs to see the ZooKeeper server has booted up successfully

docker logs zk-sasl-1

You should see messages like this at the end of the log output:

[2016-07-24 07:17:50,960] INFO Created server with tickTime 2000 minSessionTimeout 4000 maxSessionTimeout 40000 datadir /var/lib/zookeeper/log/version-2 snapdir /var/lib/zookeeper/data/version-2 (org.apache.zookeeper.server.ZooKeeperServer)
[2016-07-24 07:17:50,961] INFO FOLLOWING - LEADER ELECTION TOOK - 21823 (org.apache.zookeeper.server.quorum.Learner)
[2016-07-24 07:17:50,983] INFO Getting a diff from the leader 0x0 (org.apache.zookeeper.server.quorum.Learner)
[2016-07-24 07:17:50,986] INFO Snapshotting: 0x0 to /var/lib/zookeeper/data/version-2/snapshot.0 (org.apache.zookeeper.server.persistence.FileTxnSnapLog)
[2016-07-24 07:17:52,803] INFO Received connection request /127.0.0.1:50056 (org.apache.zookeeper.server.quorum.QuorumCnxManager)
[2016-07-24 07:17:52,806] INFO Notification: 1 (message format version), 3 (n.leader), 0x0 (n.zxid), 0x1 (n.round), LOOKING (n.state), 3 (n.sid), 0x0 (n.peerEpoch) FOLLOWING (my state) (org.apache.zookeeper.server.quorum.FastLeaderElection)

You can repeat the command for the two other ZooKeeper nodes. Next, you should verify that ZK ensemble is ready:

for i in 22181 32181 42181; do
   docker run --net=host --rm confluentinc/cp-zookeeper:4.0.0 bash -c "echo stat | nc quickstart.confluent.io $i | grep Mode"
done

You should see one leader and two follower instances.

Mode: follower
Mode: leader
Mode: follower
  1. Now that ZooKeeper is up and running, we can fire up a three node Kafka cluster.
docker run -d \
   --net=host \
   --name=kafka-sasl-1 \
   -e KAFKA_ZOOKEEPER_CONNECT="quickstart.confluent.io:22181,quickstart.confluent.io:32181,quickstart.confluent.io:42181" \
   -e KAFKA_ADVERTISED_LISTENERS=SASL_SSL://quickstart.confluent.io:29094 \
   -e KAFKA_SSL_KEYSTORE_FILENAME=kafka.broker1.keystore.jks \
   -e KAFKA_SSL_KEYSTORE_CREDENTIALS=broker1_keystore_creds \
   -e KAFKA_SSL_KEY_CREDENTIALS=broker1_sslkey_creds \
   -e KAFKA_SSL_TRUSTSTORE_FILENAME=kafka.broker1.truststore.jks \
   -e KAFKA_SSL_TRUSTSTORE_CREDENTIALS=broker1_truststore_creds \
   -e KAFKA_SECURITY_INTER_BROKER_PROTOCOL=SASL_SSL \
   -e KAFKA_SASL_MECHANISM_INTER_BROKER_PROTOCOL=GSSAPI \
   -e KAFKA_SASL_ENABLED_MECHANISMS=GSSAPI \
   -e KAFKA_SASL_KERBEROS_SERVICE_NAME=kafka \
   -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
   -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/broker1_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dsun.security.krb5.debug=true" \
    confluentinc/cp-kafka:4.0.0

docker run -d \
   --net=host \
   --name=kafka-sasl-2 \
   -e KAFKA_ZOOKEEPER_CONNECT=quickstart.confluent.io:22181,quickstart.confluent.io:32181,quickstart.confluent.io:42181 \
   -e KAFKA_ADVERTISED_LISTENERS=SASL_SSL://quickstart.confluent.io:39094 \
   -e KAFKA_SSL_KEYSTORE_FILENAME=kafka.broker2.keystore.jks \
   -e KAFKA_SSL_KEYSTORE_CREDENTIALS=broker2_keystore_creds \
   -e KAFKA_SSL_KEY_CREDENTIALS=broker2_sslkey_creds \
   -e KAFKA_SSL_TRUSTSTORE_FILENAME=kafka.broker2.truststore.jks \
   -e KAFKA_SSL_TRUSTSTORE_CREDENTIALS=broker2_truststore_creds \
   -e KAFKA_SECURITY_INTER_BROKER_PROTOCOL=SASL_SSL \
   -e KAFKA_SASL_MECHANISM_INTER_BROKER_PROTOCOL=GSSAPI \
   -e KAFKA_SASL_ENABLED_MECHANISMS=GSSAPI \
   -e KAFKA_SASL_KERBEROS_SERVICE_NAME=kafka \
   -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
   -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/broker2_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dsun.security.krb5.debug=true" \
    confluentinc/cp-kafka:4.0.0

docker run -d \
   --net=host \
   --name=kafka-sasl-3 \
   -e KAFKA_ZOOKEEPER_CONNECT=quickstart.confluent.io:22181,quickstart.confluent.io:32181,quickstart.confluent.io:42181 \
   -e KAFKA_ADVERTISED_LISTENERS=SASL_SSL://quickstart.confluent.io:49094 \
   -e KAFKA_SSL_KEYSTORE_FILENAME=kafka.broker3.keystore.jks \
   -e KAFKA_SSL_KEYSTORE_CREDENTIALS=broker3_keystore_creds \
   -e KAFKA_SSL_KEY_CREDENTIALS=broker3_sslkey_creds \
   -e KAFKA_SSL_TRUSTSTORE_FILENAME=kafka.broker3.truststore.jks \
   -e KAFKA_SSL_TRUSTSTORE_CREDENTIALS=broker3_truststore_creds \
   -e KAFKA_SECURITY_INTER_BROKER_PROTOCOL=SASL_SSL \
   -e KAFKA_SASL_MECHANISM_INTER_BROKER_PROTOCOL=GSSAPI \
   -e KAFKA_SASL_ENABLED_MECHANISMS=GSSAPI \
   -e KAFKA_SASL_KERBEROS_SERVICE_NAME=kafka \
   -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
   -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/broker3_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf -Dsun.security.krb5.debug=true" \
    confluentinc/cp-kafka:4.0.0

Check the logs to see the broker has booted up successfully:

docker logs kafka-sasl-1
docker logs kafka-sasl-2
docker logs kafka-sasl-3

You should see start see bootup messages. For example, docker logs kafka-sasl-3 | grep started should show the following:

[2016-07-24 07:29:20,258] INFO [Kafka Server 1003], started (kafka.server.KafkaServer)
[2016-07-24 07:29:20,258] INFO [Kafka Server 1003], started (kafka.server.KafkaServer)

You should see the messages like the following on the broker acting as controller.

[2016-07-24 07:29:20,283] TRACE Controller 1001 epoch 1 received response {error_code=0} for a request sent to broker localhost:29092 (id: 1001 rack: null) (state.change.logger)
[2016-07-24 07:29:20,283] TRACE Controller 1001 epoch 1 received response {error_code=0} for a request sent to broker localhost:29092 (id: 1001 rack: null) (state.change.logger)
[2016-07-24 07:29:20,286] INFO [Controller-1001-to-broker-1003-send-thread], Starting  (kafka.controller.RequestSendThread)
[2016-07-24 07:29:20,286] INFO [Controller-1001-to-broker-1003-send-thread], Starting  (kafka.controller.RequestSendThread)
[2016-07-24 07:29:20,286] INFO [Controller-1001-to-broker-1003-send-thread], Starting  (kafka.controller.RequestSendThread)
[2016-07-24 07:29:20,287] INFO [Controller-1001-to-broker-1003-send-thread], Controller 1001 connected to localhost:49092 (id: 1003 rack: null) for sending state change requests (kafka.controller.RequestSendThread)
  1. Test that the broker is working as expected.

Now that the brokers are up, we’ll test that they’re working as expected by creating a topic.

docker run \
  --net=host \
  --rm \
  -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
  -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/broker1_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf" \
  confluentinc/cp-kafka:4.0.0 \
  kafka-topics --create --topic bar --partitions 3 --replication-factor 3 --if-not-exists --zookeeper quickstart.confluent.io:32181

You should see the following output:

Created topic "bar".

Now verify that the topic is created successfully by describing the topic.

docker run \
   --net=host \
   --rm \
   -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
   -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/broker3_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf" \
   confluentinc/cp-kafka:4.0.0 \
   kafka-topics --describe --topic bar --zookeeper quickstart.confluent.io:32181

You should see the following message in your terminal window:

Topic:bar   PartitionCount:3    ReplicationFactor:3 Configs:
Topic: bar  Partition: 0    Leader: 1003    Replicas: 1003,1002,1001    Isr: 1003,1002,1001
Topic: bar  Partition: 1    Leader: 1001    Replicas: 1001,1003,1002    Isr: 1001,1003,1002
Topic: bar  Partition: 2    Leader: 1002    Replicas: 1002,1001,1003    Isr: 1002,1001,1003

Next, we’ll try generating some data to the bar topic we just created.

docker run \
  --net=host \
  --rm \
  -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
  -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/producer_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf" \
  confluentinc/cp-kafka:4.0.0 \
  bash -c "seq 42 | kafka-console-producer --broker-list quickstart.confluent.io:29094 --topic bar --producer.config /etc/kafka/secrets/host.producer.ssl.sasl.config && echo 'Produced 42 messages.'"

The command above will pass 42 integers using the Console Producer that is shipped with Kafka. As a result, you should see something like this in your terminal:

Produced 42 messages.

It looked like things were successfully written, but let’s try reading the messages back using the Console Consumer and make sure they’re all accounted for.

docker run \
  --net=host \
  --rm \
  -v ${KAFKA_SASL_SECRETS_DIR}:/etc/kafka/secrets \
  -e KAFKA_OPTS="-Djava.security.auth.login.config=/etc/kafka/secrets/consumer_jaas.conf -Djava.security.krb5.conf=/etc/kafka/secrets/krb.conf" \
  confluentinc/cp-kafka:4.0.0 \
  kafka-console-consumer --bootstrap-server quickstart.confluent.io:29094 --topic bar --new-consumer --from-beginning --consumer.config /etc/kafka/secrets/host.consumer.ssl.sasl.config

You should see the following (it might take some time for this command to return data. Kafka has to create the __consumers_offset topic behind the scenes when you consume data for the first time and this may take some time):

1
4
7
10
13
16
....
41
Processed a total of 42 messages

Docker Compose: Setting Up a Three Node Confluent Platform Cluster with SASL

Before you get started, you will first need to install Docker and Docker Compose. Once you’ve done that, you can follow the steps below to start up the Confluent Platform services.

  1. Follow sections 1, 2 and 3 in the “Docker Client” section above to create a docker-machine and generate the SSL credentials.

Set the environment variable for secrets directory. This is used in the compose file.

export KAFKA_SASL_SECRETS_DIR=$(pwd)/examples/kafka-cluster-sasl/secrets
  1. Build the kerberos image
cd tests/images/kerberos
docker build -t confluentinc/cp-kerberos:latest .
  1. Start Kerberos

Make sure you are in the cp-docker-images directory.

docker-compose create kerberos
docker-compose start kerberos
  1. Create keytabs and principals.
  1. Follow steps 3.1 above to make sure quickstart.confluent.io is resolvable.
  2. Now, lets create all the principals and their keytabs on Kerberos.
for principal in zookeeper1 zookeeper2 zookeeper3
do
  docker-compose exec kerberos kadmin.local -q "addprinc -randkey zookeeper/[email protected]"
  docker-compose exec kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab zookeeper/[email protected]"
done

for principal in zkclient1 zkclient2 zkclient3
do
  docker-compose exec kerberos kadmin.local -q "addprinc -randkey zkclient/[email protected]"
  docker-compose exec kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab zkclient/[email protected]"
done

For Kafka brokers, the principal should be called kafka.

for principal in broker1 broker2 broker3
do
  docker-compose exec kerberos kadmin.local -q "addprinc -randkey kafka/[email protected]"
  docker-compose exec kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab kafka/[email protected]"
done

for principal in saslproducer saslconsumer
do
  docker-compose exec kerberos kadmin.local -q "addprinc -randkey ${principal}/[email protected]"
  docker-compose exec kerberos kadmin.local -q "ktadd -norandkey -k /tmp/keytab/${principal}.keytab ${principal}/[email protected]"
done
  1. Start ZooKeeper and Kafka
docker-compose create
docker-compose start

Before we move on, let’s make sure the services are up and running:

docker-compose ps

You should see the following:

  Name                            Command            State   Ports
-------------------------------------------------------------------------------
kafkaclustersasl_kafka-sasl-1_1       /etc/confluent/docker/run   Up
kafkaclustersasl_kafka-sasl-2_1       /etc/confluent/docker/run   Up
kafkaclustersasl_kafka-sasl-3_1       /etc/confluent/docker/run   Up
kafkaclustersasl_kerberos_1           /config.sh                  Up
kafkaclustersasl_zookeeper-sasl-1_1   /etc/confluent/docker/run   Up
kafkaclustersasl_zookeeper-sasl-2_1   /etc/confluent/docker/run   Up
kafkaclustersasl_zookeeper-sasl-3_1   /etc/confluent/docker/run   Up

Check the zookeeper logs to verify that ZooKeeper is healthy. For example, for service zookeeper-1:

docker-compose logs zookeeper-sasl-1

You should see messages like the following:

zookeeper-1_1  | [2016-07-25 04:58:12,901] INFO Created server with tickTime 2000 minSessionTimeout 4000 maxSessionTimeout 40000 datadir /var/lib/zookeeper/log/version-2 snapdir /var/lib/zookeeper/data/version-2 (org.apache.zookeeper.server.ZooKeeperServer)
zookeeper-1_1  | [2016-07-25 04:58:12,902] INFO FOLLOWING - LEADER ELECTION TOOK - 235 (org.apache.zookeeper.server.quorum.Learner)

Verify that ZK ensemble is ready

for i in 22181 32181 42181; do
   docker run --net=host --rm confluentinc/cp-zookeeper:4.0.0 bash -c "echo stat | nc quickstart.confluent.io $i | grep Mode"
done

You should see one leader and two follower instances:

Mode: follower
Mode: leader
Mode: follower

Check the logs to see the broker has booted up successfully

docker-compose logs kafka-sasl-1
docker-compose logs kafka-sasl-2
docker-compose logs kafka-sasl-3

You should start seeing bootup messages. For example, docker-compose logs kafka-sasl-3 | grep started shows the following

kafka-sasl-3_1      | [2016-07-25 04:58:15,189] INFO [Kafka Server 3], started (kafka.server.KafkaServer)
kafka-sasl-3_1      | [2016-07-25 04:58:15,189] INFO [Kafka Server 3], started (kafka.server.KafkaServer)

You should see the messages like the following on the broker acting as controller.

(Tip: `docker-compose logs | grep controller` makes it easy to grep through logs for all services.)

kafka-sasl-1_1      | [2016-09-01 08:48:42,585] INFO [Controller-1-to-broker-2-send-thread], Starting  (kafka.controller.RequestSendThread)
kafka-sasl-2_1      | [2016-09-01 08:48:41,716] INFO [Controller 2]: Controller startup complete (kafka.controller.KafkaController)
kafka-sasl-1_1      | [2016-09-01 08:48:42,585] INFO [Controller-1-to-broker-2-send-thread], Starting  (kafka.controller.RequestSendThread)
kafka-sasl-2_1      | [2016-09-01 08:48:41,716] INFO [Controller 2]: Controller startup complete (kafka.controller.KafkaController)
kafka-sasl-2_1      | [2016-09-01 08:48:41,716] INFO [Controller 2]: Controller startup complete (kafka.controller.KafkaController)
  1. Follow section 8 in the “Docker Client” section above to test that your brokers are functioning as expected.
  2. To stop the cluster, first stop Kafka nodes one-by-one and then stop the ZooKeeper cluster.
docker-compose stop kafka-sasl-1
docker-compose stop kafka-sasl-2
docker-compose stop kafka-sasl-3
docker-compose stop
docker-compose rm