Deploy JavaEE applications using Docker Containers

Deploy JavaEE applications using Docker containers: Create a Dockerfile to define the image, build the image, run the container and map the port, and then access the application in the browser. Sample JavaEE application: REST API interacts with database, accessible on localhost after deployment via Docker.

Deploying JavaEE applications using Docker Container

Introduction

Docker is a A containerization platform that allows you to encapsulate your application and all its dependencies and deploy them uniformly. This tutorial guides you through containerizing and deploying JavaEE applications using Docker.

Prerequisites

• Install Docker Desktop
• Install Java JDK 11+
• Ready JavaEE Application

Steps

1. Create Dockerfile

Create a file named Dockerfile, Used to define Docker images.

FROM openjdk:11-jdk
COPY target/myapp.war /myapp.war
CMD ["java", "-jar", "/myapp.war"]

• FROM indicates the base image.
• COPY Copy the JavaEE WAR file to the container.
• CMD Set the default command of the container.

2. Build the Docker image

In the directory where the Dockerfile is stored, run the following command:

docker image build -t myapp-image .

3. Run Docker container

After building the image, run the following command to start the container:

docker container run -p 8080:8080 myapp-image

• -p 8080:8080 Map the 8080 port of the container to the host's Port 8080.

4. Test the application

Access in the browserhttp://localhost:8080/<app-context-path> .

Practical case

The following is a sample JavaEE application deployed using Docker:

A simple REST API that provides the function of interacting with the database .

Implementation:

@RestController
@RequestMapping("/api/data")
public class DataController {

    @Autowired
    private DataService dataService;

    @GetMapping
    public List<Data> getAllData() {
        return dataService.findAll();
    }

    @PostMapping
    public Data createData(@RequestBody Data data) {
        return dataService.save(data);
    }
}

Deployment:

Follow the steps above to build and deploy this application using Dockerfile and Docker compose.

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