Spring Boot Development With Docker for Beginners

Spring Boot Development With Docker for Beginners

Let's examine how to bring containers into your Spring Boot projects. Here, we use Docker to contain a Java REST backend, leaving OS worries behind.

In this post, I will cover how to set up your development environment to debug the Java REST backend that runs in a container.

Building the REST Application

I used the Spring Boot framework to rapidly develop the REST backend that manages products, customers, and orders tables used in the AtSea Shop. The application takes advantage of Spring Boot’s built-in application server, support for REST interfaces and ability to define multiple data sources. Because it was written in Java, it is agnostic to the base operating system and runs in either Windows or Linux containers. This allows developers to build against a heterogeneous architecture.

Project Setup

The AtSea project uses multi-stage builds, a new Docker feature, which allows me to use multiple images to build a single Docker image that includes all the components needed for the application. The multi-stage build uses a Maven container to build the application JAR file. The JAR file is then copied to a Java Development Kit image. This makes for a more compact and efficient image because the Maven is not included with the application. Similarly, the React storefront client is built in a Node image, and the compile application is also added to the final application image.

I used Eclipse to write the AtSea app. If you want info on configuring IntelliJ or Netbeans for remote debugging, you can check out the Docker Labs Repository. You can also check out the code in the AtSea app GitHub repository.

I built the application by cloning the repository and imported the project into Eclipse by setting the Root Directory to the project and clicking Finish

File > Import > Maven > Existing Maven Projects

Since I used Spring Boot, I took advantage of spring-devtools to do remote debugging in the application. I had to add the Spring Boot-devtools dependency to the pom.xml file.


Note that developer tools are automatically disabled when the application is fully packaged as a JAR. To ensure that devtools are available during development, I set the configuration to false in the spring-boot-maven build plugin:


This example uses a Docker Compose file that creates a simplified build of the containers specifically needed for development and debugging.

version: "3.1"
       context: ./database
    image: atsea_db
      POSTGRES_USER: gordonuser
      POSTGRES_DB: atsea
      - "5432:5432" 
      - back-tier
      - postgres_password
       context: .
       dockerfile: app/Dockerfile-dev
    image: atsea_app
      - "8080:8080"
      - "5005:5005"
      - front-tier
      - back-tier
      - postgres_password
    file: ./devsecrets/postgres_password
    driver: overlay

The Compose file uses secrets to provision passwords and other sensitive information such as certificates — without relying on environmental variables. Although the example uses PostgreSQL, the application can use secrets to connect to any database defined by as a Spring Boot datasource. From JpaConfiguration.java:

public DataSourceProperties dataSourceProperties() {
        DataSourceProperties dataSourceProperties = new DataSourceProperties();
    // Set password to connect to database using Docker secrets.
    try(BufferedReader br = new BufferedReader(new FileReader("/run/secrets/postgres_password"))) {
        StringBuilder sb = new StringBuilder();
        String line = br.readLine();
        while (line != null) {
            line = br.readLine();
     } catch (IOException e) {
        System.err.println("Could not successfully load DB password file");
    return dataSourceProperties;

Also note that the appserver opens port 5005 for remote debugging and that build calls the Dockerfile-dev file to build a container that has remote debugging turned on. This is set in the Entrypoint, which specifies transport and address for the debugger.

ENTRYPOINT ["java", 

Remote Debugging

To start remote debugging on the application, run compose using the docker-compose-dev.yml file.

docker-compose -f docker-compose-dev.yml up --build

Docker will build the images and start the AtSea Shop database and appserver containers. However, the application will not fully load until Eclipse’s remote debugger attaches to the application. To start remote debugging, click on Run > Debug Configurations …

Select Remote Java Application, then press the new button to create a configuration. In the Debug Configurations panel, you give the configuration a name, select the AtSea project and set the connection properties for host and the port to 5005. Click Apply > Debug.

This is image title

The appserver will start up:

appserver_1|2017-05-09 03:22:23.095 INFO 1 --- [main] s.b.c.e.t.TomcatEmbeddedServletContainer : Tomcat started on port(s): 8080 (http)
appserver_1|2017-05-09 03:22:23.118 INFO 1 --- [main] com.docker.atsea.AtSeaApp                : Started AtSeaApp in 38.923 seconds (JVM running for 109.984)    

To test remote debugging, set a breakpoint on ProductController.java where it returns a list of products.

This is image title

You can test it using curl or your preferred tool for making HTTP requests:

curl -H "Content-Type: application/json" -X GET  http://localhost:8080/api/product/

Eclipse will switch to the debug perspective, where you can step through the code.

This is image title

The AtSea Shop example shows how easy it is to use containers as part of your normal development environment using tools that you and your team are familiar with. Download the application to try out developing with containers or use it as a basis for your own Spring Boot REST application.

Thanks for reading !

docker Spring

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Docker Explained: Docker Architecture | Docker Registries

Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub.

Spring Boot with PostgreSQL and Docker Compose | RESTful CRUD API Example | Spring Data JPA Auditing

In this video, You will learn how to create a Spring Boot + JPA/Hibernate + PostgreSQL RESTful CRUD API Example with a PostgreSQL database to run inside a Docker container and how to auditing, tracking and logging user activity across the application project by using JPA Auditing

How to Dockerize Your Spring Boot Application

This video explains how to dockerize your Spring Boot application (step by step) and run it in a container.

Spring Data Cassandra CRUD API with Docker

In this video, You will learn how to integrate Spring Data with Cassandra Database and create CRUD operations and dockerize this application.

Docker Tutorial for Beginners 8 - Build and Run C++ Applications in a Docker Container

Welcome to this on Docker Tutorial for Beginners. In this video provides an Introduction on C++ development with Docker containers. So we will see How to ship C++ Programs in Docker.