This is a prerelease version.


This section shows you how to use Hazelcast with Docker. We explain some options and parameters used in the examples, but otherwise assume you are familiar with Docker in general. Visit the official documentation for a basic introduction.

Starting a Hazelcast Member and Cluster

Paste the following into your command line:

  • hazelcast

  • hazelcast-enterprise

  • hazelcast-enterprise-4-rhel8

docker run -p 5701:5701 hazelcast/hazelcast:$HAZELCAST_VERSION
docker run -e 5701:5701 HZ_LICENSE_KEY=<Your Enterprise License Key> hazelcast/hazelcast-enterprise:$HAZELCAST_VERSION
# You must be logged into Red Hat Container Registry

docker run -e 5701:5701 HZ_LICENSE_KEY=<Your Enterprise License Key>$HAZELCAST_VERSION

These commands pull Hazelcast Docker image and start a new Hazelcast member.

On Linux, you can omit the -p 5701:5701 part, but on other platforms you may need it if the container’s network isn’t directly exposed to the host machine.

You should see a log on your terminal similar to this:

Members {size:1, ver:1} [
	Member []:5701 - c0640efd-02ae-4595-aace-d944e1e1ad97 this

The command line prompt doesn’t return, which allows you to easily stop or restart Hazelcast. Note Hazelcast’s IP address, you’ll need it later.

Now, you have a single Hazelcast member. To ensure your codes will work properly, you should test it locally in a cluster with multiple members as well; testing on a single member hides some common serialization issues your code may have. Let’s start another Hazelcast container to have a second member so that a 2-member cluster will be formed. For this, run docker run from another terminal window, using a different port mapping than the first member you created:

  • hazelcast

  • hazelcast-enterprise

  • hazelcast-enterprise-4-rhel8

docker run -p 5702:5701 hazelcast/hazelcast:$HAZELCAST_VERSION
docker run -e 5702:5701 HZ_LICENSE_KEY=<Your Enterprise License Key> hazelcast/hazelcast-enterprise:$HAZELCAST_VERSION
# You must be logged into Red Hat Container Registry

docker run -e 5702:5701 HZ_LICENSE_KEY=<Your Enterprise License Key>$HAZELCAST_VERSION

The two Hazelcast members will discover each other automatically. Wait for output like the following in the logs:

Members {size:2, ver:2} [
    Member []:5701 - c0640efd-02ae-4595-aace-d944e1e1ad97
    Member []:5701 - 011a9dd4-936f-4170-a7c6-622b7430b789 this

You can start additional containers as described above to add more members to your cluster.

You can use the IP of any Hazelcast member, for example, to submit a job. Hazelcast takes care of distributing it across the whole cluster.

You can also start a Hazelcast cluster with Docker Compose. See the Using Docker Compose section.

Starting Management Center

Hazelcast Management Center provides an easy way to monitor Hazelcast cluster and running jobs. See its documentation for more information. Start it like this:

docker run -p 8081:8081 -e HAZELCAST_MEMBER_ADDRESS= hazelcast/management-center:$MANAGEMENT_CENTER_VERSION

After a few seconds you can access Management Center on http://localhost:8081, the default username/password are admin/admin.

Submitting a Job

The Hazelcast distribution contains an example pipeline called hello-world. You can use this pipeline to submit your first job using Docker.

For this, you first need to download the Hazelcast code samples to have the example pipeline, then connect to the Hazelcast member you’ve started on Docker, and submit (deploy) a job to this member using the example pipeline. See the following steps:

  1. Download the code samples, and go to the extracted directory using the below commands:

    git clone
    cd hazelcast-code-samples
  2. Connect to the Hazelcast member and submit the hello-world job to it using the below command:

    docker run -it -v "$(pwd)"/examples:/examples --rm hazelcast/hazelcast hazelcast -t submit /examples/hello-world.jar

    The Docker parameters are as follows:

    • -it tells Docker to start an interactive session, allowing you to cancel the submit command with Ctrl+C

    • -v "$(pwd)"/examples:/examples mounts the folder examples from your current directory as /examples inside the container

    • --rm tells Docker to remove the container from its local cache once it exits

      These are the parameters for hazelcast submit:

    • -t, short for --targets, is the address of the Hazelcast member to connect to

    • /examples/hello-world.jar is the JAR containing the code which will create a pipeline and submit it

  3. List the jobs running inside the cluster:

    $ docker run --rm hazelcast/hazelcast hazelcast -t list-jobs
    ID                  STATUS             SUBMISSION TIME         NAME
    045e-987c-1940-0001 RUNNING            2020-05-18T20:08:03.020 hello-world

To cancel the running job:

docker run --rm hazelcast/hazelcast hazelcast -t cancel hello-world


You can configure various aspects of your cluster and environment using Docker.


By default, Hazelcast configures the JVM with -XX:MaxRAMPercentage=80.0. This limits the JVM heap to 80% of the RAM available to the container. We recommend you leave this as-is and control Hazelcast’s memory size with the Docker parameter --memory. For example, this will start Hazelcast with 1.6 GB assigned to the JVM:

docker run --memory 2g --rm hazelcast/hazelcast


To change the JVM parameters directly, use the JAVA_OPTS environment variable. Hazelcast passes it to the JVM when starting. For example:

docker run --memory 2g -e JAVA_OPTS="-XX:MaxRAMPercentage=85.0" --rm hazelcast/hazelcast

Make sure to leave enough free RAM for Metaspace and other overheads.

Custom Hazelcast Configuration File

You can configure Hazelcast with your own hazelcast.yaml/xml by replacing the default ones in the container at /opt/hazelcast. We recommend that you use the default configuration file as a starting point:

docker run --rm hazelcast/hazelcast cat /opt/hazelcast/hazelcast.yaml > hazelcast.yaml

Now edit the file and apply it when starting Hazelcast:

docker run -v "$(pwd)"/hazelcast.yaml:/opt/hazelcast/hazelcast.yaml hazelcast/hazelcast

Extend Hazelcast’s CLASSPATH with Custom Jars and Files

If you have to add more classes or files to Hazelcast’s classpath, one way to do it is to put them in a folder, e.g., ext, mount it to the container, and set the CLASSPATH environment variable:

docker run -e CLASSPATH="/opt/hazelcast/ext/" -v /path/to/ext:/opt/hazelcast/ext hazelcast/hazelcast

If you have just one file to add, it’s simpler to mount it directly into Hazelcast’s lib folder:

docker run -v /path/to/my.jar:/opt/hazelcast-jet/lib/my.jar hazelcast/hazelcast

Changing Logging Level

You can set the logging level using the LOGGING_LEVEL environment variable:

docker run -e LOGGING_LEVEL=DEBUG hazelcast/hazelcast

Available logging levels are (from highest to lowest): FATAL, ERROR, WARN, INFO, DEBUG, TRACE. The default logging level is INFO.

If you need more control over logging, you can supply your own file. Use the default one as the starting point:

docker run --rm hazelcast/hazelcast cat /opt/hazelcast/ >

Edit the file and mount it when starting Hazelcast:

docker run -v /path/to/ hazelcast/hazelcast

Using Docker Compose

You can start a Hazelcast cluster managed by Docker Compose. This also makes it easier to customize Hazelcast with configuration files, mounted directories etc.

Here’s a simple docker-compose.yml:

version: '3'

    image: hazelcast/hazelcast
      - "5701-5703:5701"

Now you can start a 3-member Hazelcast cluster:

docker-compose up --scale hazelcast=3

You should eventually see a 3-member cluster has formed:

Members {size:3, ver:3} [
    Member []:5701 - 99d3de67-8c5d-452b-8165 -085a4cd1fcda
    Member []:5701 - 64f5b01b-847e-49e0-87f2 -db2a6f7750b7
    Member []:5701 - ffa362f9-617d-42bc-a74c -05ce857e8e48 this

The ports section says that port 5701 from each container should be mapped to a port from the range 5701-5703. Increase the range if you want to start more than three instances.

You can provide a custom hazelcast.yaml/xml configuration file by using a volume:

version: '3'


    image: hazelcast/hazelcast
      - "5701-5703:5701"
      - ./hazelcast.yaml:/opt/hazelcast/hazelcast.yaml

Using Dockerfile

In addition to the aforementioned Docker methods, you can also create your own Docker image using Dockerfiles for these purposes to start Hazelcast and submit jobs.

For example, let’s create a Docker image with the code of the hello-world job from the Submitting a Job section and submit it to Hazelcast.

For this, you first need to create the Dockerfile as follows:

FROM hazelcast/hazelcast
ADD examples/hello-world.jar /examples/
CMD ["sh", "-c", "hazelcast -t $HAZELCAST_MEMBER_ADDRESS submit /examples/hello-world.jar"]

The Hazelcast address is exposed through the HAZELCAST_MEMBER_ADDRESS environment variable, with the default value of This makes it easy to pass a different address with docker run -e HAZELCAST_MEMBER_ADDRESS=<>.

Then, you create your own Docker image using the following command, giving it the name hazelcast-hello-world:

docker build . -t hazelcast-hello-world

You will see an output similar to the following:

Sending build context to Docker daemon  77.35MB
Successfully built 6bc0f527b69c
Successfully tagged hazelcast-hello-world:latest

Finally, you submit the job as follows:

docker run -it hazelcast-jet-hello-world

Building a Custom Image from the Slim Image

Hazelcast offers a slim Docker image that contains just the core Hazelcast engine. When image size is a concern, you can use it as the starting point to build your custom image with just the extensions you need.

Let’s create and start a Docker image for Hazelcast with the Kafka extension. In an empty directory, create a Dockerfile with the following content:

FROM hazelcast:5.0-BETA-1-slim
ARG HZ_HOME=/opt/hazelcast
ADD $REPO_URL/hazelcast-kafka/5.0/hazelcast-kafka-5.0-jar-with-dependencies.jar $HZ_HOME/lib/
# ... more ADD statements ...
To find the available extensions and their URLs, open the Maven URL in your browser.

Build the image from the above Dockerfile using the following command, giving it the name hazelcast-with-kafka:

docker build . -t hazelcast-with-kafka

Start the Docker image as follows:

docker run -p 5701:5701 hazelcast-with-kafka

For more information on Dockerfile, go to its documentation.