Payara Micro Docker Image Overview

Overview of the usage and details of the official Payara Micro Community Docker image.

Quick start

Launch a new Payara Micro instance running in a container listening in port 8080 with the following command:

docker run -p 8080:8080 payara/micro

Keep in mind the following:

  • The instance will start with no deployed applications.

  • Accessing the default HTTP endpoint will yield a 404 - Not Found response.

  • The instance’s JVM process runs under the payara user.

Using a specific version
docker run -p 8080:8080 payara/micro:6.2024.11

AMD64 & ARM64 compatible images are provided. The Docker client should automatically download the appropriate image for your architecture.

Specifying the JDK Version

There are 3 different, alternative versions of the JDK images:

  • The default version which is based on JDK11, uses no suffix.

  • The JDK 17 version, which uses the -jdk17 suffix.

  • The JDK 21 version, which uses the -jdk21 suffix.

To switch from the default JDK 11 based image to the JDK 17 or 21 compatible one, just add the corresponding suffix to the tag’s name like this:

docker run -p 8080:8080 payara/micro:6.2024.11-jdk17

Exposed ports

The default ports that are exposed by this image are:

  • 8080 - HTTP listener

  • 6900 - Datagrid’s Hazelcast port

Installation Details

The Payara Micro JAR file is located in the /opt/payara/ directory (identified by the HOME_DIR environment variable), which also is the default work directory of the image.

The directory name is deliberately free of any versioning so that any scripts written to work with one version can be seamlessly migrated to the latest docker image.

Application Deployment

Payara Micro will deploy applications at startup time, depending on how you prefer to instruct the instance to execute the deployments. However, you have to make sure that the container has access to your application artefacts.

You can instruct the container to deploy applications using the following mechanisms:

  • Mount a deployment directory (local or in the network) as a Docker volume

  • Prepare a custom Docker image that includes your application artefacts.

  • Deploy your applications from a remote Maven repository.

Deploy Applications from a Directory

You can instruct the container to deploy all application artefacts that belong to a directory that is mounted as Docker volume mapped to the /opt/payara/deployments (which is defined as the value of the $DEPLOY_DIR environment variable) local directory.

The following command will start a new Payara Micro instance container and deploy all artefacts located in the ~/payara-micro/applications directory:

docker run -p 8080:8080 -v ~/payara-micro/applications:/opt/payara/deployments payara/micro

To only deploy a specific artefact within the directory, simply pass the --deploy argument to the container’s run command and specify which application to deploy:

docker run -p 8080:8080 -v ~/payara-micro/applications:/opt/payara/deployments payara/micro --deploy /opt/payara/deployments/myapplication.war
Make sure to prefix the artefact names with the absolute path to the local deployment directory.

Deploy Applications using a Custom Image

You can also prepare a custom image based on the official Payara Micro Docker image and copy all application artefacts to the $DEPLOY_DIR directory. This way, you can re-package your applications in a simple distributable unit.

The following sample Dockerfile can be used to prepare a custom Payara Micro image that deploys the myapplication.war artefact at runtime:

FROM payara/micro
COPY myapplication.war $DEPLOY_DIR

Deploy Applications from a Maven Repository

If your application’s artefact is already available in a Maven repository, you can instruct the container to download and deploy it directly. To do this, you’ll have to pass the --deployFromGAV argument with the GAV coordinates of your artefact to the run command used to launch the container.

Here’s an example of how to deploy a sample application located in a local Maven repository:

docker run -p 8080:8080 payara/micro --deployFromGAV "fish.payara.examples:my-application:1.0-SNAPSHOT"  --additionalRepository https://172.17.0.10/content/repositories/snapshots

Notice that the example also uses the --additionalRepository argument to specify the URL of the repository where the artefact lives since by default, Payara Micro will only look for artefacts in the Maven Central repository.

Configuration

Context Root Configuration

By default, the context root of each deployed application corresponds to the artefact’s file name. You can override this setting by using the --contextroot startup argument.

To deploy an application using the default context root (/), set its value to ROOT

Here are some basic examples:

One application deployed, uses the myRoot context root
docker run -p 8080:8080 -v ~/payara-micro/applications:/opt/payara/deployments payara/micro --deploymentDir /opt/payara/deployments --contextroot myRoot
First application in the directory uses the / context root
docker run -p 8080:8080 -v ~/payara-micro/applications:/opt/payara/deployments payara/micro --deploy /opt/payara/deployments/myapplication.war --contextroot ROOT

You can also prepare a custom Docker image that overrides the default CMD instruction to specify the context root like this:

FROM payara/micro
COPY myapplication.war $DEPLOY_DIR
CMD ["--deploymentDir", "/opt/payara/deployments", "--contextroot", "my"]

Disable the Data Grid

Payara Micro will start in "clustering" mode by booting up the Data Grid, allowing other instances reachable in the network to join the grid automatically.

The Data Grid initialization and maintenance consumes extra resources, so in cases where clustering is not needed, it is recommended to disable the Data Grid completely.

To disable the Data Grid, you can pass the --noHazelcast argument to the entry point of the run command:

docker run -p 8080:8080 -v ~/payara-micro/applications:/opt/payara/deployments payara/micro --noHazelcast

Disable Clustering

By default, Payara Micro will start with hazelcast enabled, allowing other instances reachable in the network to join the datagrid automatically and cluster.

Disabling hazelcast with the --noHazelcast option will also disable all features that depend on Hazelcast, including JCache. The --noCluster option allows you to keep Hazelcast and therefore all features depending on Hazelcast, but disable clustering. This will significantly improve performance and is the recommended option if you require Hazelcast dependant features, but do not intend to use clustering.

To disable clustering, you can pass the --noCluster argument to the entry point of the run command:

docker run -p 8080:8080 -v ~/payara-micro/applications:/opt/payara/deployments payara/micro --noCluster

Using Environment Variables

The following environment variables can be used to configure multiple settings of the Payara Micro instance. They can be either specified in a custom image’s Dockerfile or passed to the docker run command via the --env or --env-file arguments:

Name Description Default Value

MEM_MAX_RAM_PERCENTAGE

Value for the JVM argument -XX:MaxRAMPercentage which indicates the percentage of memory assigned to the container that can be used by the Java process

70

MEM_XSS

Value for the JVM argument -Xss which controls the stack size

512K

JVM_ARGS

Additional JVM arguments which will be used to configure the Payara Servers DAS JVM settings

-Djdk.util.zip.disableZip64ExtraFieldValidation=true

The following is a list of variables used by the Docker image to set up the Payara Micro instance startup, so it is not recommended to alter their values:

Variable name Description Value

HOME_DIR

The directory containing the Payara Micro JAR binary and the scripts used to run the instance.

/opt/payara