amazoncorretto

A multiplatform, production-ready distribution of OpenJDK provided and supported by Amazon.

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What is amazoncorretto?

The Amazon Corretto image packages Amazon Corretto, a free, multiplatform, production-ready distribution of OpenJDK provided and supported by Amazon. Corretto includes long-term support with performance enhancements and security updates.

It is certified as compatible with the Java SE standard and is designed to be a drop-in replacement for other OpenJDK distributions. Amazon uses Corretto internally for running Java workloads on AWS services, which adds to its credibility for production systems.

Corretto is frequently chosen as a base image for Java applications deployed on AWS, but it can be used in any environment that requires a stable and secure JDK or JRE.

How to use this image

The Amazon Corretto image can be used to build and run Java applications.

Examples:

<code># Run Java version check
docker run --rm amazoncorretto:21 java -version</code>

<code># Compile a Java application
docker run --rm -v $PWD:/app -w /app amazoncorretto:17 javac HelloWorld.java</code>

<code># Run the application
docker run --rm -v $PWD:/app -w /app amazoncorretto:17 java HelloWorld</code>

Corretto images are also commonly used in multi-stage builds for CI/CD pipelines:

<code>FROM amazoncorretto:21 as build
WORKDIR /src
COPY . .
RUN javac MyApp.java</code>

<code>FROM amazoncorretto:21
WORKDIR /app
COPY --from=build /src/MyApp.class .
ENTRYPOINT ["java","MyApp"]</code>

Image variants

The Amazon Corretto image is published under amazoncorretto and available in multiple variants:

amazoncorretto:<version>

Version-pinned images (e.g., amazoncorretto:17, amazoncorretto:21). These correspond to specific Java LTS or feature releases.

amazoncorretto:<version>-alpine

A lightweight Alpine Linux–based variant, providing smaller image size and reduced attack surface.

amazoncorretto:latest

Tracks the most recent stable release. Useful for testing, but not recommended for long-term production deployments.

Interested in base images that start and stay clean?

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