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Azure Spring Apps is a fully managed service from Microsoft (built in collaboration with VMware), focused on building and deploying Spring Boot applications on Azure Cloud without worrying about Kubernetes.

And, the Enterprise plan comes with some interesting features, such as commercial Spring runtime support, a 99.95% SLA and some deep discounts (up to 47%) when you are ready for production.

>> Learn more and deploy your first Spring Boot app to Azure.

You can also ask questions and leave feedback on the Azure Spring Apps GitHub page.

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1. Overview

In this tutorial, we’ll focus on how to dockerize a Spring Boot Application to run it in an isolated environment, a.k.a. container.

We’ll learn how to create a composition of containers, which depend on each other and are linked against each other in a virtual private network. We’ll also see how they can be managed together with single commands.

Let’s start by creating a simple Spring Boot application that we’ll then run in a lightweight base image running Alpine Linux.

2. Dockerize a Standalone Spring Boot Application

As an example of an application that we can dockerize, we’ll create a simple Spring Boot application, docker-message-server, that exposes one endpoint and returns a static message:

public class DockerMessageController {
    public String getMessage() {
        return "Hello from Docker!";

With a correctly configured Maven file, we can then create an executable jar file:

$> mvn clean package

Next, we’ll start up the Spring Boot application:

$> java -jar target/docker-message-server-1.0.0.jar

Now we have a working Spring Boot application that we can access at localhost:8888/messages.

To dockerize the application, we first create a file named Dockerfile with the following content:

FROM openjdk:17-jdk-alpine
COPY target/docker-message-server-1.0.0.jar message-server-1.0.0.jar
ENTRYPOINT ["java","-jar","/message-server-1.0.0.jar"]

This file contains the following information:

  • FROM: As the base for our image, we’ll take the Java-enabled Alpine Linux created in the previous section.
  • MAINTAINER: The maintainer of the image.
  • COPY: We let Docker copy our jar file into the image.
  • ENTRYPOINT: This will be the executable to start when the container is booting. We must define them as JSON-Array because we’ll use an ENTRYPOINT in combination with a CMD for some application arguments.

To create an image from our Dockerfile, we have to run ‘docker build’ like before:

$> docker build --tag=message-server:latest .

Finally, we’re able to run the container from our image:

$> docker run -p8887:8888 message-server:latest

This will start our application in Docker, and we can access it from the host machine at localhost:8887/messages. Here it’s important to define the port mapping, which maps a port on the host (8887) to the port inside Docker (8888). This is the port we defined in the properties of the Spring Boot application.

Note: Port 8887 might not be available on the machine where we launch the container. In this case, the mapping might not work and we need to choose a port that’s still available.

If we run the container in detached mode, we can inspect its details, stop it, and remove it with the following commands:

$> docker inspect message-server
$> docker stop message-server
$> docker rm message-server

2.1. Changing the Base Image

We can easily change the base image in order to use a different Java version. For example, if we want to use the Corretto distribution from Amazon, we can simply change the Dockerfile:

FROM amazoncorretto:17-alpine-jdk
COPY target/docker-message-server-1.0.0.jar message-server-1.0.0.jar
ENTRYPOINT ["java","-jar","/message-server-1.0.0.jar"]

Furthermore, we can use a custom base image. We’ll look at how to do that later in this tutorial.

3. Dockerize Applications in a Composite

Docker commands and Dockerfiles are particularly suitable for creating individual containers. However, if we want to operate on a network of isolated applications, the container management quickly becomes cluttered.

To solve this, Docker provides a tool named Docker Compose. This tool comes with its own build-file in YAML format, and is better suited for managing multiple containers. For instance, it’s able to start or stop a composite of services in one command, or merges the logging output of multiple services together into one pseudo-tty.

3.1. The Second Spring Boot Application

Let’s build an example of two applications running in different Docker containers. They will communicate with each other, and be presented as a “single unit” to the host system. As a simple example, we’ll create a second Spring Boot application docker-product-server:

public class DockerProductController {
    public String getMessage() {
        return "A brand new product";

We can build and start the application in the same way as our message-server.

3.2. The Docker Compose File

We can combine the configuration for both services in one file called docker-compose.yml:

version: '2'
        container_name: message-server
            context: docker-message-server
            dockerfile: Dockerfile
        image: message-server:latest
            - 18888:8888
            - spring-cloud-network
        container_name: product-server
            context: docker-product-server
            dockerfile: Dockerfile
        image: product-server:latest
            - 19999:9999
            - spring-cloud-network
        driver: bridge
  • version: Specifies which format version should be used. This is a mandatory field. Here we use the newer version, whereas the legacy format is ‘1’.
  • services: Each object in this key defines a service, a.k.a container. This section is mandatory.
    • build: If given, docker-compose is able to build an image from a Dockerfile
      • context: If given, it specifies the build-directory, where the Dockerfile is looked-up.
      • dockerfile: If given, it sets an alternate name for a Dockerfile.
    • image: Tells Docker which name it should give to the image when build-features are used. Otherwise, it’s searching for this image in the library or remote-registry.
    • networks: This is the identifier of the named networks to use. A given name-value must be listed in the networks section.
  • networks: In this section, we’re specifying the networks available to our services. In this example, we let docker-compose create a named network of type ‘bridge’ for us. If the option external is set to true, it will use an existing one with the given name.

Before we continue, we’ll check our build-file for syntax-errors:

$> docker-compose config

Then we can build our images, create the defined containers, and start it in one command:

$> docker-compose up --build

This will start up the message-server and product-server in one go.

To stop the containers, remove them from Docker and remove the connected networks from it. To do this, we can use the opposite command:

$> docker-compose down

For a more detailed introduction to docker-compose, we can read our article Introduction to Docker Compose.

3.3. Scaling Services

A nice feature of docker-compose is the ability to scale services. For example, we can tell Docker to run three containers for the message-server and two containers for the product-server.

However, for this to work properly, we have to remove the container_name from our docker-compose.yml, so Docker can choose names, and change the exposed port configuration to avoid clashes.

For the ports, we can tell Docker to map a range of ports on the host to one specific port inside Docker:

    - 18800-18888:8888

After that, we’re able to scale our services like so (note that we’re using a modified yml-file):

$> docker-compose --file docker-compose-scale.yml up -d --build --scale message-server=1 --scale product-server=1

This command will spin up a single message-server and a single product-server.

To scale our services, we can run the following command:

$> docker-compose --file docker-compose-scale.yml up -d --build --scale message-server=3 --scale product-server=2

This command will launch two additional message servers and one additional product server. The running containers won’t be stopped.

4. Custom Base Image

The base image (openjdk:17-jdk-alpine) we have used so far contained a distribution of the Alpine operating system with a JDK 17 already installed. Alternatively, we can build our own base image (based on Alpine or any other operating system).

To do so, we can use a Dockerfile with Alpine as a base image, and install the JDK of our choice:

FROM alpine:edge
RUN apk add --no-cache openjdk17
  • FROM: The keyword FROM tells Docker to use a given image with its tag as build-base. If this image isn’t in the local library, an online-search on DockerHub, or on any other configured remote-registry, is performed.
  • MAINTAINER: A MAINTAINER is usually an email address, identifying the author of an image.
  • RUN: With the RUN command, we’re executing a shell command-line within the target system. Here we’re utilizing Alpine Linux’s package manager, apk, to install the Java 8 OpenJDK.

To finally build the image and store it in the local library, we have to run:

docker build --tag=alpine-java:base --rm=true .

NOTICE: The –tag option will give the image its name, and –rm=true will remove intermediate images after it’s been built successfully. The last character in this shell command is a dot, acting as a build-directory argument.

Now we can use the created image instead of openjdk:8-jdk-alpine.

5. Buildpacks Support in Spring Boot 2.3

Spring Boot 2.3 added support for buildpacks. Put simply, instead of creating our own Dockerfile and building it using something like docker build, all we have to do is issue the following command:

$ mvn spring-boot:build-image

Similarly, in Gradle:

$ ./gradlew bootBuildImage

For this to work, we need to have Docker installed and running.

The main motivation behind buildpacks is to create the same deployment experience that some well-known cloud services, such as Heroku or Cloud Foundry, have been providing for a while. We just run the build-image goal, and then the platform itself takes care of building and deploying the artifact.

Moreover, it can help us change the way we’re building Docker images more effectively. Instead of applying the same change to lots of Dockerfiles in different projects, all we have to do is change or tune the buildpacks image builder.

In addition to ease of use and better overall developer experience, it can also be more efficient. For instance, the buildpacks approach will create a layered Docker image and uses the exploded version of the Jar file.

Let’s look at what happens after we run the above command.

When we list the available docker images:

docker image ls -a

We see a line for the image we just created:

docker-message-server 1.0.0 b535b0cc0079

Here, the image name and version match the name and version we defined in the Maven or Gradle configuration file. The hash code is the short version of the image’s hash.

Then to start our container, we can simply run:

docker run -it -p9099:8888 docker-message-server:1.0.0

As with our built image, we need to map the port to make our Spring Boot application accessible from outside Docker.

6. Conclusion

In this article, we learned how to build custom Docker images, run a Spring Boot Application as a Docker container, and create containers with docker-compose.

For further reading about the build files, we refer to the official Dockerfile reference and the docker-compose.yml reference.

As usual, the source codes for this article can be found on Github.

Course – LS – All

Get started with Spring and Spring Boot, through the Learn Spring course:

res – REST with Spring (eBook) (everywhere)
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