Resolving 'Builder Lifecycle 'Creator' Failed with Status Code 51' Error in Maven Spring Boot Build Image Command

What causes the error 'Builder lifecycle 'creator' failed with status code 51' when running 'mvn spring-boot:build-image'?

The error 'Builder lifecycle 'creator' failed with status code 51' typically occurs when there are issues with your Docker environment or configuration during the image build process with Spring Boot Maven plugin. It indicates a failure in the builder lifecycle, often related to misconfigurations or missing components.

<build>
    <plugins>
        <plugin>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-maven-plugin</artifactId>
            <version>2.5.4</version>
            <configuration>
                <image>
                    <name>${docker.image.prefix}/${project.artifactId}:${project.version}</name>
                </image>
            </configuration>
        </plugin>
    </plugins>
</build>

Causes

• Incorrect or missing Docker setup on your machine.
• Issues with the Spring Boot application configuration or missing dependencies.
• Insufficient resources allocated to Docker, causing it to fail during the build phase.
• Permissions issues preventing Docker from executing commands properly.

Solutions

• Ensure Docker is correctly installed and running on your machine before executing the build command.
• Verify the Spring Boot application's configuration in the 'pom.xml' to ensure all necessary dependencies are included and properly defined.
• Check Docker's resource allocation settings to ensure it has enough CPU and memory for the build.
• Run Docker commands with appropriate permissions, or try running your terminal or command prompt as an administrator.

Mistake: Not having the Docker daemon running prior to executing the command.

Solution: Ensure that Docker Desktop or your Docker service is active.

Mistake: Overlooking missing or incompatible dependencies in the 'pom.xml'.

Solution: Review and update all dependencies to compatible versions.

Mistake: Not allocating enough system resources to Docker, causing process failures.

Solution: Adjust Docker's settings to increase CPU and RAM allocation.