Skip to content

rits296/wildfly

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

42 Commits
 
 
 
 
 
 
 
 

Repository files navigation

WildFly Docker image

This is an example Dockerfile with WildFly application server.

Usage

To boot in standalone mode

docker run -it jboss/wildfly

To boot in standalone mode with admin console available remotely

docker run -p 8080:8080 -p 9990:9990 -it jboss/wildfly /opt/jboss/wildfly/bin/standalone.sh -bmanagement 0.0.0.0

To boot in domain mode

docker run -it jboss/wildfly /opt/jboss/wildfly/bin/domain.sh -b 0.0.0.0 -bmanagement 0.0.0.0

Application deployment

With the WildFly server you can deploy your application in multiple ways:

  1. You can use CLI
  2. You can use the web console
  3. You can use the management API directly
  4. You can use the deployment scanner

The most popular way of deploying an application is using the deployment scanner. In WildFly this method is enabled by default and the only thing you need to do is to place your application inside of the deployments/ directory. It can be /opt/jboss/wildfly/standalone/deployments/ or /opt/jboss/wildfly/domain/deployments/ depending on which mode you choose (standalone is default in the jboss/wildfly image -- see above).

The simplest and cleanest way to deploy an application to WildFly running in a container started from the jboss/wildfly image is to use the deployment scanner method mentioned above.

To do this you just need to extend the jboss/wildfly image by creating a new one. Place your application inside the deployments/ directory with the ADD command (but make sure to include the trailing slash on the deployment folder path, more info). You can also do the changes to the configuration (if any) as additional steps (RUN command).

A simple example was prepared to show how to do it, but the steps are following:

  1. Create Dockerfile with following content:

     FROM jboss/wildfly
     ADD your-awesome-app.war /opt/jboss/wildfly/standalone/deployments/
    
  2. Place your your-awesome-app.war file in the same directory as your Dockerfile.

  3. Run the build with docker build --tag=wildfly-app .

  4. Run the container with docker run -it wildfly-app. Application will be deployed on the container boot.

This way of deployment is great because of a few things:

  1. It utilizes Docker as the build tool providing stable builds
  2. Rebuilding image this way is very fast (once again: Docker)
  3. You only need to do changes to the base WildFly image that are required to run your application

Logging

Logging can be done in many ways. This blog post describes a lot of them.

Customizing configuration

Sometimes you need to customize the application server configuration. There are many ways to do it and this blog post tries to summarize it.

Extending the image

To be able to create a management user to access the administration console create a Dockerfile with the following content

FROM jboss/wildfly
RUN /opt/jboss/wildfly/bin/add-user.sh admin Admin#70365 --silent
CMD ["/opt/jboss/wildfly/bin/standalone.sh", "-b", "0.0.0.0", "-bmanagement", "0.0.0.0"]

Then you can build the image:

docker build --tag=jboss/wildfly-admin .

Run it:

docker run -it jboss/wildfly-admin

Administration console will be available on the port 9990 of the container.

Building on your own

You don't need to do this on your own, because we prepared a trusted build for this repository, but if you really want:

docker build --rm=true --tag=jboss/wildfly .

Image internals [updated Dec 13, 2018]

This image extends the jboss/base-jdk:11 image which adds the OpenJDK distribution on top of the jboss/base image. Please refer to the README.md for selected images for more info.

The server is run as the jboss user which has the uid/gid set to 1000.

WildFly is installed in the /opt/jboss/wildfly directory.

Source

The source is available on GitHub.

Issues

Please report any issues or file RFEs on GitHub.

About

Docker image for WildFly project

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Dockerfile 100.0%